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5 Commits

Author SHA1 Message Date
dd5b7561c1 Case closed. 2026-05-20 11:16:56 +08:00
a99534d2f3 Refine GPU runtime controls and input checker 2026-05-18 01:02:55 +08:00
f2264989d8 Fix CUDA AMR symmetry drift 2026-05-17 23:46:15 +08:00
a0b43bae04 Restore default GPU BH interpolation 2026-05-17 12:05:09 +08:00
c7a48ebe7e Stabilize GPU BH trajectory defaults 2026-05-17 11:52:50 +08:00
25 changed files with 2192 additions and 4248 deletions

559
AMSS_NCKU_GPUCheck.py Normal file
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@@ -0,0 +1,559 @@
#!/usr/bin/env python3
#
# Current most stable GPU-branch baseline:
# GPU_Calculation="yes"
# Equation_Class="BSSN"
# Initial_Data_Method="Ansorg-TwoPuncture"
# puncture_data_set="Manually"
# basic_grid_set="Patch"
# grid_center_set="Cell"
# Symmetry="equatorial-symmetry"
# Time_Evolution_Method="runge-kutta-45"
# Finite_Diffenence_Method="4th-order"
# boundary_choice="BAM-choice"
# gauge_choice=0
# tetrad_type=2
# AHF_Find="no"
# devide_factor=2.0
# static_grid_type="Linear"
# moving_grid_type="Linear"
# AMSS_Z4C_MRBD=0
# Do not enable AMSS_CUDA_BH_INTERP_RESIDENT unless a dedicated
# CPU/GPU trajectory comparison has been run for that configuration.
"""
Check whether AMSS_NCKU_Input.py is suitable for the current GPU branch.
Usage:
python3 AMSS_NCKU_GPUCheck.py
python3 AMSS_NCKU_GPUCheck.py -f /path/to/AMSS_NCKU_Input.py
"""
from __future__ import annotations
import argparse
import importlib.util
import os
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any, Iterable, List, Sequence
SUPPORTED_EQUATIONS = {"BSSN", "BSSN-EScalar", "BSSN-EM", "Z4C"}
SUPPORTED_INITIAL_DATA = {
"Ansorg-TwoPuncture",
"Lousto-Analytical",
"Cao-Analytical",
"KerrSchild-Analytical",
}
SUPPORTED_SYMMETRIES = {
"no-symmetry",
"equatorial-symmetry",
"octant-symmetry",
}
SUPPORTED_GRIDS = {"Patch", "Shell-Patch"}
SUPPORTED_CENTERS = {"Cell", "Vertex"}
SUPPORTED_FD = {"2nd-order", "4th-order", "6th-order", "8th-order"}
SUPPORTED_GAUGES = {0, 1, 2, 3, 4, 5, 6, 7}
SUPPORTED_TETRADS = {0, 1, 2}
SUPPORTED_AHF = {"yes", "no"}
SUPPORTED_BOUNDARIES = {"BAM-choice", "Shibata-choice"}
SUPPORTED_PUNCTURE_DATA = {"Manually", "Automatically-BBH"}
STABLE_BASELINE = {
"GPU_Calculation": "yes",
"Equation_Class": "BSSN",
"Initial_Data_Method": "Ansorg-TwoPuncture",
"puncture_data_set": "Manually",
"basic_grid_set": "Patch",
"grid_center_set": "Cell",
"Symmetry": "equatorial-symmetry",
"Time_Evolution_Method": "runge-kutta-45",
"Finite_Diffenence_Method": "4th-order",
"boundary_choice": "BAM-choice",
"gauge_choice": 0,
"tetrad_type": 2,
"AHF_Find": "no",
"devide_factor": 2.0,
"static_grid_type": "Linear",
"moving_grid_type": "Linear",
"AMSS_Z4C_MRBD": 0,
}
@dataclass
class CheckResult:
ok: bool = True
warnings: List[str] = field(default_factory=list)
risks: List[str] = field(default_factory=list)
notes: List[str] = field(default_factory=list)
def add_warning(self, msg: str) -> None:
self.warnings.append(msg)
def add_risk(self, msg: str) -> None:
self.ok = False
self.risks.append(msg)
def add_note(self, msg: str) -> None:
self.notes.append(msg)
def extend_notes(self, messages: Iterable[str]) -> None:
self.notes.extend(messages)
def load_input_module(path: Path):
spec = importlib.util.spec_from_file_location("amss_ncku_input", str(path))
if spec is None or spec.loader is None:
raise RuntimeError(f"cannot load input module from {path}")
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module) # type: ignore[union-attr]
return module
def get_attr(mod: Any, name: str, default: Any = None) -> Any:
return getattr(mod, name, default)
def as_text(value: Any) -> str:
if isinstance(value, str):
return value.strip()
return str(value).strip()
def as_lower_text(value: Any) -> str:
return as_text(value).lower()
def as_float(value: Any, default: float | None = None) -> float | None:
try:
return float(value)
except (TypeError, ValueError):
return default
def as_int(value: Any, default: int | None = None) -> int | None:
try:
return int(value)
except (TypeError, ValueError):
return default
def sequence_len(value: Any) -> int | None:
try:
return len(value)
except TypeError:
return None
def sequence_values(value: Any) -> List[float] | None:
try:
return [float(v) for v in value]
except (TypeError, ValueError):
return None
def approx_equal(a: Any, b: float, tol: float = 1.0e-12) -> bool:
value = as_float(a)
return value is not None and abs(value - b) <= tol
def env_truthy(name: str) -> bool:
value = os.environ.get(name)
return value is not None and value.strip().lower() in {
"1",
"yes",
"y",
"true",
"on",
"enable",
"enabled",
}
def stable_baseline_differences(mod: Any) -> List[str]:
diffs = []
for name, expected in STABLE_BASELINE.items():
if not hasattr(mod, name):
continue
actual = get_attr(mod, name, None)
if isinstance(expected, float):
if not approx_equal(actual, expected):
diffs.append(f"{name}={actual!r} (stable baseline: {expected!r})")
elif actual != expected:
diffs.append(f"{name}={actual!r} (stable baseline: {expected!r})")
return diffs
def add_membership_check(
r: CheckResult,
name: str,
value: Any,
supported: Sequence[Any] | set[Any],
*,
risk_message: str | None = None,
note_message: str | None = None,
) -> None:
if value not in supported:
r.add_risk(risk_message or f"Unsupported {name}: {value!r}")
elif note_message:
r.add_note(note_message)
def check_positive_int(r: CheckResult, name: str, value: Any) -> None:
parsed = as_int(value)
if parsed is None or parsed <= 0:
r.add_risk(f"{name} must be a positive integer; got {value!r}")
def check_nonnegative_number(r: CheckResult, name: str, value: Any) -> None:
parsed = as_float(value)
if parsed is None or parsed < 0.0:
r.add_risk(f"{name} must be a non-negative number; got {value!r}")
def check_grid_geometry(r: CheckResult, mod: Any, grid: str) -> None:
grid_level = as_int(get_attr(mod, "grid_level", None))
static_grid_level = as_int(get_attr(mod, "static_grid_level", None))
moving_grid_level = as_int(get_attr(mod, "moving_grid_level", None))
refinement_level = as_int(get_attr(mod, "refinement_level", None))
analysis_level = as_int(get_attr(mod, "analysis_level", 0))
for name in (
"grid_level",
"static_grid_level",
"moving_grid_level",
"static_grid_number",
"moving_grid_number",
"quarter_sphere_number",
):
check_positive_int(r, name, get_attr(mod, name, None))
if grid_level is not None and static_grid_level is not None:
if static_grid_level > grid_level:
r.add_risk("static_grid_level cannot exceed grid_level.")
if moving_grid_level is not None and moving_grid_level != grid_level - static_grid_level:
r.add_risk(
"moving_grid_level should equal grid_level - static_grid_level; "
f"got {moving_grid_level}, expected {grid_level - static_grid_level}."
)
if grid_level is not None:
if refinement_level is None or refinement_level < 0 or refinement_level > grid_level:
r.add_risk(f"refinement_level must be in [0, grid_level]; got {refinement_level!r}")
if analysis_level is None or analysis_level < 0 or analysis_level >= grid_level:
r.add_risk(f"analysis_level must be in [0, grid_level); got {analysis_level!r}")
largest_max = sequence_values(get_attr(mod, "largest_box_xyz_max", None))
largest_min = sequence_values(get_attr(mod, "largest_box_xyz_min", None))
if largest_max is None or len(largest_max) != 3:
r.add_risk("largest_box_xyz_max must contain three numeric values.")
elif any(v <= 0.0 for v in largest_max):
r.add_risk(f"largest_box_xyz_max values must be positive; got {largest_max!r}")
if largest_min is None or len(largest_min) != 3:
r.add_risk("largest_box_xyz_min must contain three numeric values.")
elif largest_max is not None and len(largest_max) == 3:
for idx, (lo, hi) in enumerate(zip(largest_min, largest_max)):
if lo >= hi:
r.add_risk(
f"largest_box_xyz_min[{idx}] must be smaller than largest_box_xyz_max[{idx}]."
)
if grid == "Shell-Patch" and largest_max is not None and len(largest_max) == 3:
if max(largest_max) - min(largest_max) > 1.0e-12:
r.add_risk("Shell-Patch requires a cubic largest_box_xyz_max.")
if not approx_equal(get_attr(mod, "devide_factor", None), 2.0):
r.add_risk("devide_factor must remain 2.0; the AMR code documents only this ratio as supported.")
if as_text(get_attr(mod, "static_grid_type", "")) != "Linear":
r.add_risk("static_grid_type must remain 'Linear'.")
if as_text(get_attr(mod, "moving_grid_type", "")) != "Linear":
r.add_risk("moving_grid_type must remain 'Linear'.")
shell_shape = sequence_values(get_attr(mod, "shell_grid_number", None))
if grid == "Shell-Patch":
if shell_shape is None or len(shell_shape) != 3:
r.add_risk("Shell-Patch requires shell_grid_number with three numeric values.")
elif any(int(v) <= 0 for v in shell_shape):
r.add_risk(f"shell_grid_number values must be positive; got {shell_shape!r}")
def check_punctures(r: CheckResult, mod: Any, init: str, puncture_data: str) -> None:
puncture_number = as_int(get_attr(mod, "puncture_number", None))
if puncture_number is None or puncture_number <= 0:
r.add_risk(f"puncture_number must be a positive integer; got {puncture_number!r}")
return
if init == "Ansorg-TwoPuncture" and puncture_number != 2:
r.add_warning(
"Ansorg-TwoPuncture is validated on the GPU branch mainly for puncture_number=2."
)
if puncture_data == "Automatically-BBH":
r.add_risk("puncture_data_set='Automatically-BBH' is documented as still developing.")
for name in ("position_BH", "parameter_BH", "dimensionless_spin_BH", "momentum_BH"):
value = get_attr(mod, name, None)
outer = sequence_len(value)
if outer != puncture_number:
r.add_risk(f"{name} must have puncture_number rows; got {outer!r}.")
continue
for idx in range(puncture_number):
if sequence_len(value[idx]) != 3:
r.add_risk(f"{name}[{idx}] must contain three values.")
break
if init == "Ansorg-TwoPuncture":
for name in ("parameter_BH", "position_BH", "momentum_BH"):
if get_attr(mod, name, None) is None:
r.add_risk(f"Ansorg-TwoPuncture requires {name}.")
def check_output_and_time(r: CheckResult, mod: Any) -> None:
for name in (
"Final_Evolution_Time",
"Check_Time",
"Dump_Time",
"D2_Dump_Time",
"Analysis_Time",
"Courant_Factor",
"Dissipation",
):
check_nonnegative_number(r, name, get_attr(mod, name, None))
check_positive_int(r, "Evolution_Step_Number", get_attr(mod, "Evolution_Step_Number", None))
start_time = as_float(get_attr(mod, "Start_Evolution_Time", None))
final_time = as_float(get_attr(mod, "Final_Evolution_Time", None))
if start_time is None:
r.add_risk("Start_Evolution_Time must be numeric.")
elif final_time is not None and final_time <= start_time:
r.add_risk("Final_Evolution_Time must be greater than Start_Evolution_Time.")
for name in ("GW_L_max", "GW_M_max", "Detector_Number"):
check_positive_int(r, name, get_attr(mod, name, None))
detector_min = as_float(get_attr(mod, "Detector_Rmin", None))
detector_max = as_float(get_attr(mod, "Detector_Rmax", None))
if detector_min is None or detector_min <= 0.0:
r.add_risk(f"Detector_Rmin must be positive; got {detector_min!r}")
if detector_max is None or detector_max <= 0.0:
r.add_risk(f"Detector_Rmax must be positive; got {detector_max!r}")
if detector_min is not None and detector_max is not None and detector_max <= detector_min:
r.add_risk("Detector_Rmax must be greater than Detector_Rmin.")
def check_equation_specific(r: CheckResult, mod: Any, eq: str, grid: str, fd: str) -> None:
if eq == "BSSN":
r.add_note("Equation_Class=BSSN is the current validated GPU baseline.")
elif eq == "BSSN-EScalar":
r.add_warning("BSSN-EScalar has a CUDA path, but it is less broadly validated than BSSN.")
fr_choice = as_int(get_attr(mod, "FR_Choice", None))
if fr_choice not in {1, 2, 3, 4, 5}:
r.add_risk(f"FR_Choice must be one of 1..5 for BSSN-EScalar; got {fr_choice!r}")
if approx_equal(get_attr(mod, "FR_a2", None), 0.0):
r.add_risk("CUDA BSSN-EScalar requires nonzero FR_a2.")
elif not approx_equal(get_attr(mod, "FR_a2", None), 3.0):
r.add_warning("CUDA BSSN-EScalar now passes FR_a2 to the kernel, but non-3.0 values need CPU/GPU regression.")
for name in ("FR_l2", "FR_phi0", "FR_r0", "FR_sigma0"):
check_nonnegative_number(r, name, get_attr(mod, name, None))
elif eq == "BSSN-EM":
r.add_warning(
"BSSN-EM is accepted by the build, but this checker cannot certify its physics/output "
"without a CPU/GPU regression run."
)
if fd == "8th-order":
r.add_note("BSSN-EM with 8th-order enables extra CUDA AMR batching defaults.")
elif eq == "Z4C":
r.add_warning(
"Z4C has CUDA support, but the resident path and Shell/CPBC combinations are more constrained."
)
if grid == "Patch":
r.add_warning("Z4C+Patch avoids Shell CPBC, but still needs a dedicated regression test.")
else:
r.add_warning("Z4C+Shell-Patch uses CPBC/Shell logic and is not the stable BSSN baseline.")
def check_runtime_environment(r: CheckResult, mod: Any, eq: str, grid: str, fd: str) -> None:
if env_truthy("AMSS_CUDA_BH_INTERP_RESIDENT"):
r.add_risk(
"AMSS_CUDA_BH_INTERP_RESIDENT is enabled in the environment; this option previously caused "
"late-time trajectory drift and should stay off unless explicitly revalidated."
)
else:
r.add_note("AMSS_CUDA_BH_INTERP_RESIDENT is not enabled; this matches the fixed stable default.")
if eq in {"BSSN", "BSSN-EScalar", "Z4C"}:
r.add_note("makefile_and_run.py will default AMSS_CUDA_AMR_RESTRICT_DEVICE=1 for this equation.")
if fd in {"2nd-order", "8th-order"}:
r.add_warning(
f"{fd} disables some interpolation/CUDA-aware MPI fast paths by default; validate performance and output."
)
if grid == "Shell-Patch":
r.add_warning(
"Shell-Patch changes runtime defaults and MPI process handling; use at least the script-adjusted 4 MPI ranks."
)
z4c_mrbd = as_int(get_attr(mod, "AMSS_Z4C_MRBD", 0), 0)
if z4c_mrbd not in {0, 1, 2}:
r.add_risk(f"AMSS_Z4C_MRBD must be 0, 1, or 2; got {z4c_mrbd!r}")
elif eq == "Z4C" and z4c_mrbd == 2:
r.add_risk("Z4C GPU resident path does not support AMSS_Z4C_MRBD=2.")
elif eq == "Z4C" and z4c_mrbd in {0, 1}:
r.add_note(f"Z4C will build with AMSS_Z4C_MRBD={z4c_mrbd}.")
def check_stable_profile(r: CheckResult, mod: Any) -> None:
diffs = stable_baseline_differences(mod)
if not diffs:
r.add_note("This input matches the documented most stable GPU baseline.")
return
r.add_warning(
"This input differs from the documented most stable GPU baseline: " + "; ".join(diffs)
)
def check_input(mod: Any) -> CheckResult:
r = CheckResult()
gpu_text = as_lower_text(get_attr(mod, "GPU_Calculation", "no"))
gpu = gpu_text == "yes"
eq = as_text(get_attr(mod, "Equation_Class", ""))
init = as_text(get_attr(mod, "Initial_Data_Method", ""))
symmetry = as_text(get_attr(mod, "Symmetry", ""))
time_method = as_text(get_attr(mod, "Time_Evolution_Method", ""))
grid = as_text(get_attr(mod, "basic_grid_set", ""))
center = as_text(get_attr(mod, "grid_center_set", ""))
fd = as_text(get_attr(mod, "Finite_Diffenence_Method", ""))
gauge = get_attr(mod, "gauge_choice", None)
tetrad = get_attr(mod, "tetrad_type", None)
ahf = as_text(get_attr(mod, "AHF_Find", "no")).lower()
boundary = as_text(get_attr(mod, "boundary_choice", ""))
puncture_data = as_text(get_attr(mod, "puncture_data_set", ""))
cpu_part = get_attr(mod, "CPU_Part", None)
gpu_part = get_attr(mod, "GPU_Part", None)
if gpu_text not in {"yes", "no"}:
r.add_risk(f"GPU_Calculation must be 'yes' or 'no'; got {get_attr(mod, 'GPU_Calculation', None)!r}")
if not gpu:
r.add_note("GPU_Calculation=no; this check only targets the GPU branch.")
return r
r.add_note("GPU_Calculation=yes detected.")
add_membership_check(r, "Equation_Class", eq, SUPPORTED_EQUATIONS)
add_membership_check(r, "Symmetry", symmetry, SUPPORTED_SYMMETRIES)
add_membership_check(r, "Initial_Data_Method", init, SUPPORTED_INITIAL_DATA)
add_membership_check(r, "basic_grid_set", grid, SUPPORTED_GRIDS)
add_membership_check(r, "grid_center_set", center, SUPPORTED_CENTERS)
add_membership_check(r, "Finite_Diffenence_Method", fd, SUPPORTED_FD)
add_membership_check(r, "gauge_choice", gauge, SUPPORTED_GAUGES)
add_membership_check(r, "tetrad_type", tetrad, SUPPORTED_TETRADS)
add_membership_check(r, "AHF_Find", ahf, SUPPORTED_AHF)
add_membership_check(r, "boundary_choice", boundary, SUPPORTED_BOUNDARIES)
add_membership_check(r, "puncture_data_set", puncture_data, SUPPORTED_PUNCTURE_DATA)
if init != "Ansorg-TwoPuncture":
r.add_risk(
f"Initial_Data_Method={init!r} is not validated as safe on this GPU branch; "
"the stable path is Ansorg-TwoPuncture."
)
else:
r.add_note("Initial_Data_Method=Ansorg-TwoPuncture is supported.")
if time_method != "runge-kutta-45":
r.add_risk(f"Only Time_Evolution_Method='runge-kutta-45' is supported; got {time_method!r}.")
if grid == "Patch":
r.add_note("basic_grid_set=Patch is the current stable GPU grid path.")
elif grid == "Shell-Patch":
r.add_warning("basic_grid_set=Shell-Patch has GPU support but is outside the stable BSSN baseline.")
if center == "Vertex":
r.add_warning("grid_center_set=Vertex is compiled by macros, but the stable GPU baseline is Cell.")
if symmetry != "equatorial-symmetry":
r.add_warning("The stable validation case uses equatorial-symmetry; other symmetries need regression tests.")
if fd != "4th-order":
r.add_warning("The stable validation case uses 4th-order finite differences.")
if gauge not in {0, 1}:
r.add_warning("Input comments recommend gauge_choice 0 or 1; other gauges need dedicated validation.")
if tetrad != 2:
r.add_warning("Input comments recommend tetrad_type=2; other tetrads affect wave extraction conventions.")
if ahf == "yes":
r.add_warning("AHF_Find=yes is supported by macros, but it is outside the current stable GPU baseline.")
if boundary == "Shibata-choice":
r.add_risk("Shibata-choice is not faithfully distinguished in the current macro generator; it maps to the BAM branch.")
elif boundary == "BAM-choice":
r.add_note("boundary_choice=BAM-choice is supported.")
if cpu_part is not None or gpu_part is not None:
r.add_warning("CPU_Part/GPU_Part are printed and propagated, but they do not control a real mixed CPU/GPU split in this branch.")
check_output_and_time(r, mod)
check_grid_geometry(r, mod, grid)
check_punctures(r, mod, init, puncture_data)
check_equation_specific(r, mod, eq, grid, fd)
check_runtime_environment(r, mod, eq, grid, fd)
check_stable_profile(r, mod)
return r
def main() -> int:
parser = argparse.ArgumentParser()
parser.add_argument(
"-f",
"--file",
"--input",
dest="input_file",
default="AMSS_NCKU_Input.py",
help="path to AMSS_NCKU_Input.py",
)
args = parser.parse_args()
path = Path(args.input_file).resolve()
if not path.exists():
print(f"ERROR: input file not found: {path}")
return 2
try:
mod = load_input_module(path)
except Exception as exc:
print(f"ERROR: failed to load input file: {exc}")
return 2
result = check_input(mod)
print(f"Input: {path}")
print(f"GPU_Calculation: {get_attr(mod, 'GPU_Calculation', 'no')}")
print(f"Symmetry: {get_attr(mod, 'Symmetry', '')}")
print(f"Equation_Class: {get_attr(mod, 'Equation_Class', '')}")
print(f"Initial_Data_Method: {get_attr(mod, 'Initial_Data_Method', '')}")
print(f"puncture_data_set: {get_attr(mod, 'puncture_data_set', '')}")
print(f"basic_grid_set: {get_attr(mod, 'basic_grid_set', '')}")
print(f"grid_center_set: {get_attr(mod, 'grid_center_set', '')}")
print(f"Finite_Diffenence_Method: {get_attr(mod, 'Finite_Diffenence_Method', '')}")
print(f"gauge_choice: {get_attr(mod, 'gauge_choice', '')}")
print(f"tetrad_type: {get_attr(mod, 'tetrad_type', '')}")
print(f"boundary_choice: {get_attr(mod, 'boundary_choice', '')}")
print(f"AHF_Find: {get_attr(mod, 'AHF_Find', '')}")
print(f"AMSS_Z4C_MRBD: {get_attr(mod, 'AMSS_Z4C_MRBD', 0)}")
print("")
for msg in result.notes:
print(f"NOTE: {msg}")
for msg in result.warnings:
print(f"WARNING: {msg}")
for msg in result.risks:
print(f"RISK: {msg}")
print("")
if result.risks:
print("Verdict: review the risks above before running.")
return 1
if result.warnings:
print("Verdict: runnable on the current GPU branch, but keep the warnings in mind.")
return 0
print("Verdict: OK to run on the current GPU branch.")
return 0
if __name__ == "__main__":
raise SystemExit(main())

View File

@@ -13,15 +13,31 @@ import numpy
## Setting MPI processes and the output file directory
File_directory = "GW150914" ## output file directory
File_directory = "case3" ## output file directory
Output_directory = "binary_output" ## binary data file directory
## The file directory name should not be too long
MPI_processes = 2 ## number of mpi processes used in the simulation
GPU_Calculation = "yes" ## Use GPU or not
## (prefer "no" in the current version, because the GPU part may have bugs when integrated in this Python interface)
CPU_Part = 1.0
GPU_Part = 0.0
MPI_processes = 2 ## number of mpi processes used in the simulation
GPU_Calculation = "yes" ## Use GPU or not
## (prefer "no" in the current version, because the GPU part may have bugs when integrated in this Python interface)
CPU_Part = 1.0
GPU_Part = 0.0
## Aggressive runtime overrides for fastest low-accuracy GPU runs.
AMSS_EVOLVE_TIMING = 0
AMSS_ANALYSIS_MAP_EVERY = 1000000000
AMSS_INTERP_FAST = 1
AMSS_INTERP_GPU = 1
AMSS_CUDA_AWARE_MPI = 1
AMSS_CUDA_RESIDENT_SYNC = 1
AMSS_CUDA_BSSN_RESIDENT_SYNC = 1
AMSS_CUDA_KEEP_RESIDENT_AFTER_STEP = 1
AMSS_CUDA_KEEP_ALL_LEVELS = 1
AMSS_CUDA_AMR_RESTRICT_DEVICE = 1
AMSS_CUDA_AMR_RESTRICT_BATCH = 1
AMSS_CUDA_DEVICE_SEGMENT_BATCH = 1
AMSS_CUDA_UNCACHED_DEVICE_BUFFERS = 1
AMSS_CUDA_AMR_HOST_STAGED = 1
#################################################
@@ -45,14 +61,14 @@ Finite_Diffenence_Method = "4th-order" ## finite-difference method:
## Setting the time evolutionary information
Start_Evolution_Time = 0.0 ## start evolution time t0
Final_Evolution_Time = 1000.0 ## final evolution time t1
Check_Time = 100.0
Dump_Time = 100.0 ## time inteval dT for dumping binary data
D2_Dump_Time = 100.0 ## dump the ascii data for 2d surface after dT'
Analysis_Time = 0.1 ## dump the puncture position and GW psi4 after dT"
Evolution_Step_Number = 10000000 ## stop the calculation after the maximal step number
Courant_Factor = 0.5 ## Courant Factor
Dissipation = 0.15 ## Kreiss-Oliger Dissipation Strength
Final_Evolution_Time = 200.0 ## final evolution time t1
Check_Time = 1000000000.0
Dump_Time = 1000000000.0 ## time inteval dT for dumping binary data
D2_Dump_Time = 1000000000.0 ## dump the ascii data for 2d surface after dT'
Analysis_Time = 1000000000.0 ## dump the puncture position and GW psi4 after dT"
Evolution_Step_Number = 1000000 ## stop the calculation after the maximal step number
Courant_Factor = 0.8 ## Courant Factor
Dissipation = 0.15 ## Kreiss-Oliger Dissipation Strength
#################################################
@@ -64,22 +80,22 @@ Dissipation = 0.15 ## Kreiss-Oliger Dissipation S
basic_grid_set = "Patch" ## grid structure: choose "Patch" or "Shell-Patch"
grid_center_set = "Cell" ## grid center: chose "Cell" or "Vertex"
grid_level = 9 ## total number of AMR grid levels
static_grid_level = 5 ## number of AMR static grid levels
moving_grid_level = grid_level - static_grid_level ## number of AMR moving grid levels
analysis_level = 0
refinement_level = 3 ## time refinement start from this grid level
grid_level = 7 ## total number of AMR grid levels
static_grid_level = 4 ## number of AMR static grid levels
moving_grid_level = grid_level - static_grid_level ## number of AMR moving grid levels
analysis_level = 0
refinement_level = 2 ## time refinement start from this grid level
largest_box_xyz_max = [320.0, 320.0, 320.0] ## scale of the largest box
## not ne cess ary to be cubic for "Patch" grid s tructure
## need to be a cubic box for "Shell-Patch" grid structure
largest_box_xyz_min = - numpy.array(largest_box_xyz_max)
static_grid_number = 96 ## grid points of each static AMR grid (in x direction)
## (grid points in y and z directions are automatically adjusted)
moving_grid_number = 48 ## grid points of each moving AMR grid
shell_grid_number = [32, 32, 100] ## grid points of Shell-Patch grid
static_grid_number = 64 ## grid points of each static AMR grid (in x direction)
## (grid points in y and z directions are automatically adjusted)
moving_grid_number = 32 ## grid points of each moving AMR grid
shell_grid_number = [32, 32, 100] ## grid points of Shell-Patch grid
## in (phi, theta, r) direction
devide_factor = 2.0 ## resolution between different grid levels dh0/dh1, only support 2.0 now
@@ -87,7 +103,7 @@ devide_factor = 2.0 ## resolution between diffe
static_grid_type = 'Linear' ## AMR static grid structure , only supports "Linear"
moving_grid_type = 'Linear' ## AMR moving grid structure , only supports "Linear"
quarter_sphere_number = 96 ## grid number of 1/4 s pher ical surface
quarter_sphere_number = 16 ## grid number of 1/4 s pher ical surface
## (which is needed for evaluating the spherical surface integral)
#################################################
@@ -110,15 +126,15 @@ puncture_data_set = "Manually" ## Method to give Punct
## initial orbital distance and ellipticity for BBHs system
## ( needed for "Automatically-BBH" case , not affect the "Manually" case )
Distance = 10.0
Distance = 12.0
e0 = 0.0
## black hole parameter (M Q* a*)
parameter_BH[0] = [ 36.0/(36.0+29.0), 0.0, +0.31 ]
parameter_BH[1] = [ 29.0/(36.0+29.0), 0.0, -0.46 ]
parameter_BH[0] = [ 0.5, 0.0, 0.0 ]
parameter_BH[1] = [ 0.5, 0.0, 0.0 ]
## dimensionless spin in each direction
dimensionless_spin_BH[0] = [ 0.0, 0.0, +0.31 ]
dimensionless_spin_BH[1] = [ 0.0, 0.0, -0.46 ]
dimensionless_spin_BH[0] = [ 0.0, 0.0, 0.0 ]
dimensionless_spin_BH[1] = [ 0.0, 0.0, 0.0 ]
## use Brugmann's convention
## -----0-----> y
@@ -129,13 +145,13 @@ dimensionless_spin_BH[1] = [ 0.0, 0.0, -0.46 ]
## If puncture_data_set is chosen to be "Manually", it is necessary to set the position and momentum of each puncture manually
## initial position for each puncture
position_BH[0] = [ 0.0, 10.0*29.0/(36.0+29.0), 0.0 ]
position_BH[1] = [ 0.0, -10.0*36.0/(36.0+29.0), 0.0 ]
position_BH[0] = [ 0.0, 6.0, 0.0 ]
position_BH[1] = [ 0.0, -6.0, 0.0 ]
## initial mumentum for each puncture
## (needed for "Manually" case, does not affect the "Automatically-BBH" case)
momentum_BH[0] = [ -0.09530152296974252, -0.00084541526517121, 0.0 ]
momentum_BH[1] = [ +0.09530152296974252, +0.00084541526517121, 0.0 ]
momentum_BH[0] = [ -0.06, -0.01, 0.0 ]
momentum_BH[1] = [ +0.06, +0.01, 0.0 ]
#################################################
@@ -145,11 +161,11 @@ momentum_BH[1] = [ +0.09530152296974252, +0.00084541526517121, 0.0 ]
## Setting the gravitational wave information
GW_L_max = 4 ## maximal L number in gravitational wave
GW_M_max = 4 ## maximal M number in gravitational wave
Detector_Number = 12 ## number of dector
GW_L_max = 2 ## maximal L number in gravitational wave
GW_M_max = 2 ## maximal M number in gravitational wave
Detector_Number = 2 ## number of dector
Detector_Rmin = 50.0 ## nearest dector distance
Detector_Rmax = 160.0 ## farest dector distance
Detector_Rmax = 100.0 ## farest dector distance
#################################################
@@ -158,10 +174,10 @@ Detector_Rmax = 160.0 ## farest dector distance
## Setting the apprent horizon
AHF_Find = "yes" ## whether to find the apparent horizon: choose "yes" or "no"
AHF_Find = "no" ## whether to find the apparent horizon: choose "yes" or "no"
AHF_Find_Every = 24
AHF_Dump_Time = 20.0
AHF_Find_Every = 1000000000
AHF_Dump_Time = 1000000000.0
#################################################

View File

@@ -262,7 +262,10 @@ Z4c_class::~Z4c_class()
//================================================================================================
#define MRBD 0 // 0: fix BD for meshrefinement level; 1: sommerfeld_bam for them; 2: sommerfeld_yo for them
#ifndef AMSS_Z4C_MRBD
#define AMSS_Z4C_MRBD 0
#endif
#define MRBD AMSS_Z4C_MRBD // 0: fix BD for meshrefinement level; 1: sommerfeld_bam for them; 2: sommerfeld_yo for them
#ifndef CPBC
// for sommerfeld boundary

View File

@@ -318,6 +318,16 @@ void fill_bssn_em_matter_cuda_views(Block *cg, double **matter,
bool bssn_em_cuda_use_resident_sync(int lev)
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_CUDA_RESIDENT_SYNC");
if (!env)
env = getenv("AMSS_CUDA_EM_RESIDENT_SYNC");
enabled = env ? ((atoi(env) != 0) ? 1 : 0) : 1;
}
if (!enabled)
return false;
#ifdef WithShell
(void)lev;
return false;

View File

@@ -65,6 +65,16 @@ bool fill_bssn_escalar_cuda_views(Block *cg, MyList<var> *vars,
bool bssn_escalar_cuda_use_resident_sync(int lev)
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_CUDA_RESIDENT_SYNC");
if (!env)
env = getenv("AMSS_CUDA_ESCALAR_RESIDENT_SYNC");
enabled = env ? ((atoi(env) != 0) ? 1 : 0) : 1;
}
if (!enabled)
return false;
#ifdef WithShell
(void)lev;
return false;
@@ -194,7 +204,7 @@ bool bssn_escalar_cuda_bh_interp_resident_enabled()
if (enabled < 0)
{
const char *env = getenv("AMSS_CUDA_BH_INTERP_RESIDENT");
enabled = env ? ((atoi(env) != 0) ? 1 : 0) : 1;
enabled = env ? ((atoi(env) != 0) ? 1 : 0) : 0;
}
return enabled != 0;
}

View File

@@ -552,6 +552,16 @@ bool fill_bssn_cuda_views_count(Block *cg, MyList<var> *vars,
bool bssn_cuda_use_resident_sync(int lev)
{
static int enabled = -1;
if (enabled < 0)
{
const char *env = getenv("AMSS_CUDA_RESIDENT_SYNC");
if (!env)
env = getenv("AMSS_CUDA_BSSN_RESIDENT_SYNC");
enabled = env ? ((atoi(env) != 0) ? 1 : 0) : 1;
}
if (!enabled)
return false;
(void)lev;
return true;
}
@@ -1021,7 +1031,9 @@ void bssn_cuda_sync_level_bh_fields(MyList<Patch> *PatL,
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank && !bssn_cuda_sync_bh_fields(cg, forx, fory, forz, false))
if (myrank == cg->rank &&
bssn_cuda_has_resident_state(cg) &&
!bssn_cuda_sync_bh_fields(cg, forx, fory, forz, false))
{
cout << "CUDA BH state subset download failed" << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
@@ -1057,13 +1069,8 @@ bool bssn_cuda_bh_interp_resident_enabled()
const char *env = getenv("AMSS_CUDA_BH_INTERP_RESIDENT");
if (env)
enabled = (atoi(env) != 0) ? 1 : 0;
#if (ABEtype == 1)
else
enabled = 1;
#else
else
enabled = 1;
#endif
enabled = 0;
}
return enabled != 0;
}
@@ -8594,6 +8601,23 @@ void bssn_class::compute_Porg_rhs(double **BH_PS, double **BH_RHS, var *forx, va
{
const int InList = 3;
#if USE_CUDA_BSSN
const bool use_resident_bh_interp = bssn_cuda_bh_interp_resident_enabled();
if (!use_resident_bh_interp && bssn_cuda_use_resident_sync(ilev))
{
MyList<var> *host_state_list = 0;
if (forx == Sfx0 && fory == Sfy0 && forz == Sfz0)
host_state_list = StateList;
else if (forx == Sfx && fory == Sfy && forz == Sfz)
host_state_list = SynchList_pre;
else if (forx == Sfx1 && fory == Sfy1 && forz == Sfz1)
host_state_list = SynchList_cor;
if (host_state_list)
bssn_cuda_download_level_state_if_present(GH->PatL[ilev], host_state_list, myrank);
}
#endif
MyList<var> *DG_List = new MyList<var>(forx);
DG_List->insert(fory);
DG_List->insert(forz);
@@ -8614,7 +8638,7 @@ void bssn_class::compute_Porg_rhs(double **BH_PS, double **BH_RHS, var *forx, va
int lev = ilev;
#if USE_CUDA_BSSN
if (bssn_cuda_bh_interp_resident_enabled() &&
if (use_resident_bh_interp &&
bssn_cuda_use_resident_sync(lev) &&
bssn_cuda_interp_bh_point_resident(GH->PatL[lev], myrank, BH_PS[n], forx, fory, forz, Symmetry, shellf))
{

View File

@@ -1,323 +0,0 @@
#include "macrodef.h"
#include "bssn_rhs.h"
#include "share_func.h"
#include "tool.h"
#include <cstddef>
/*
* C 版 BSSN-EM RHS kernel — replaces empart.f90 + bssn_rhs.f90 for BSSN+Maxwell.
*
* Computes:
* 1. All metric and EM field derivatives
* 2. Physical metric, Christoffel-like terms
* 3. EM field RHS (E, B, Kpsi, Kphi)
* 4. Stress-energy tensor (rho, Si, Sij)
* 5. Calls f_compute_rhs_bssn (C BSSN RHS) with stress-energy
* 6. Advection + KO dissipation for EM fields
* 7. NaN check
*/
int f_compute_rhs_bssn_em_c(int *ex, double &T,
double *X, double *Y, double *Z,
double *chi, double *trK,
double *dxx, double *gxy, double *gxz, double *dyy, double *gyz, double *dzz,
double *Axx, double *Axy, double *Axz, double *Ayy, double *Ayz, double *Azz,
double *Gamx, double *Gamy, double *Gamz,
double *Lap, double *betax, double *betay, double *betaz,
double *dtSfx, double *dtSfy, double *dtSfz,
double *Ex, double *Ey, double *Ez,
double *Bx, double *By, double *Bz,
double *Kpsi, double *Kphi,
double *Jx, double *Jy, double *Jz, double *qchar,
double *chi_rhs, double *trK_rhs,
double *gxx_rhs, double *gxy_rhs, double *gxz_rhs,
double *gyy_rhs, double *gyz_rhs, double *gzz_rhs,
double *Axx_rhs, double *Axy_rhs, double *Axz_rhs,
double *Ayy_rhs, double *Ayz_rhs, double *Azz_rhs,
double *Gamx_rhs, double *Gamy_rhs, double *Gamz_rhs,
double *Lap_rhs, double *betax_rhs, double *betay_rhs, double *betaz_rhs,
double *dtSfx_rhs, double *dtSfy_rhs, double *dtSfz_rhs,
double *Ex_rhs, double *Ey_rhs, double *Ez_rhs,
double *Bx_rhs, double *By_rhs, double *Bz_rhs,
double *Kpsi_rhs, double *Kphi_rhs,
double *rho, double *Sx, double *Sy, double *Sz,
double *Sxx, double *Sxy, double *Sxz,
double *Syy, double *Syz, double *Szz,
double *Gamxxx, double *Gamxxy, double *Gamxxz,
double *Gamxyy, double *Gamxyz, double *Gamxzz,
double *Gamyxx, double *Gamyxy, double *Gamyxz,
double *Gamyyy, double *Gamyyz, double *Gamyzz,
double *Gamzxx, double *Gamzxy, double *Gamzxz,
double *Gamzyy, double *Gamzyz, double *Gamzzz,
double *Rxx, double *Rxy, double *Rxz,
double *Ryy, double *Ryz, double *Rzz,
double *ham_Res, double *movx_Res, double *movy_Res, double *movz_Res,
double *Gmx_Res, double *Gmy_Res, double *Gmz_Res,
int &Symmetry, int &Lev, double &eps, int &co)
{
(void)T;
int gont = 0;
const int nx = ex[0], ny = ex[1], nz = ex[2];
const int all = nx * ny * nz;
const size_t n = (size_t)all;
const double ZEO = 0.0, ONE = 1.0, TWO = 2.0, FOUR = 4.0, EIT = 8.0;
const double HALF = 0.5, THR = 3.0, F3o2 = 1.5, PI = 3.14159265358979323846;
const double SYM = 1.0, ANTI = -1.0;
const double kappa = 1.0;
const double SSS[3]={SYM,SYM,SYM}, AAS[3]={ANTI,ANTI,SYM};
const double ASA[3]={ANTI,SYM,ANTI}, SAA[3]={SYM,ANTI,ANTI};
const double ASS[3]={ANTI,SYM,SYM}, SAS[3]={SYM,ANTI,SYM};
const double SSA[3]={SYM,SYM,ANTI};
/* ---- allocate temporary arrays ---- */
double *chix = (double*)malloc(n*sizeof(double));
double *chiy = (double*)malloc(n*sizeof(double));
double *chiz = (double*)malloc(n*sizeof(double));
double *Exx=(double*)malloc(n*sizeof(double)),*Exy=(double*)malloc(n*sizeof(double)),*Exz=(double*)malloc(n*sizeof(double));
double *Eyx=(double*)malloc(n*sizeof(double)),*Eyy=(double*)malloc(n*sizeof(double)),*Eyz=(double*)malloc(n*sizeof(double));
double *Ezx=(double*)malloc(n*sizeof(double)),*Ezy=(double*)malloc(n*sizeof(double)),*Ezz=(double*)malloc(n*sizeof(double));
double *Bxx=(double*)malloc(n*sizeof(double)),*Bxy=(double*)malloc(n*sizeof(double)),*Bxz=(double*)malloc(n*sizeof(double));
double *Byx=(double*)malloc(n*sizeof(double)),*Byy=(double*)malloc(n*sizeof(double)),*Byz=(double*)malloc(n*sizeof(double));
double *Bzx=(double*)malloc(n*sizeof(double)),*Bzy=(double*)malloc(n*sizeof(double)),*Bzz=(double*)malloc(n*sizeof(double));
double *Kpsix=(double*)malloc(n*sizeof(double)),*Kpsiy=(double*)malloc(n*sizeof(double)),*Kpsiz=(double*)malloc(n*sizeof(double));
double *Kphix=(double*)malloc(n*sizeof(double)),*Kphiy=(double*)malloc(n*sizeof(double)),*Kphiz=(double*)malloc(n*sizeof(double));
double *Lapx=(double*)malloc(n*sizeof(double)),*Lapy=(double*)malloc(n*sizeof(double)),*Lapz=(double*)malloc(n*sizeof(double));
double *betaxx=(double*)malloc(n*sizeof(double)),*betaxy=(double*)malloc(n*sizeof(double)),*betaxz=(double*)malloc(n*sizeof(double));
double *betayx=(double*)malloc(n*sizeof(double)),*betayy=(double*)malloc(n*sizeof(double)),*betayz=(double*)malloc(n*sizeof(double));
double *betazx=(double*)malloc(n*sizeof(double)),*betazy=(double*)malloc(n*sizeof(double)),*betazz=(double*)malloc(n*sizeof(double));
double *gxxx=(double*)malloc(n*sizeof(double)),*gxxy=(double*)malloc(n*sizeof(double)),*gxxz=(double*)malloc(n*sizeof(double));
double *gxyx=(double*)malloc(n*sizeof(double)),*gxyy=(double*)malloc(n*sizeof(double)),*gxyz=(double*)malloc(n*sizeof(double));
double *gxzx=(double*)malloc(n*sizeof(double)),*gxzy=(double*)malloc(n*sizeof(double)),*gxzz=(double*)malloc(n*sizeof(double));
double *gyyx=(double*)malloc(n*sizeof(double)),*gyyy=(double*)malloc(n*sizeof(double)),*gyyz=(double*)malloc(n*sizeof(double));
double *gyzx=(double*)malloc(n*sizeof(double)),*gyzy=(double*)malloc(n*sizeof(double)),*gyzz=(double*)malloc(n*sizeof(double));
double *gzzx=(double*)malloc(n*sizeof(double)),*gzzy=(double*)malloc(n*sizeof(double)),*gzzz=(double*)malloc(n*sizeof(double));
double *gupxx=(double*)malloc(n*sizeof(double)),*gupxy=(double*)malloc(n*sizeof(double)),*gupxz=(double*)malloc(n*sizeof(double));
double *gupyy=(double*)malloc(n*sizeof(double)),*gupyz=(double*)malloc(n*sizeof(double)),*gupzz=(double*)malloc(n*sizeof(double));
if (!chix||!chiy||!chiz||!Exx||!Exy||!Exz||!Eyx||!Eyy||!Eyz||!Ezx||!Ezy||!Ezz||
!Bxx||!Bxy||!Bxz||!Byx||!Byy||!Byz||!Bzx||!Bzy||!Bzz||
!Kpsix||!Kpsiy||!Kpsiz||!Kphix||!Kphiy||!Kphiz||
!Lapx||!Lapy||!Lapz||
!betaxx||!betaxy||!betaxz||!betayx||!betayy||!betayz||!betazx||!betazy||!betazz||
!gxxx||!gxxy||!gxxz||!gxyx||!gxyy||!gxyz||!gxzx||!gxzy||!gxzz||
!gyyx||!gyyy||!gyyz||!gyzx||!gyzy||!gyzz||!gzzx||!gzzy||!gzzz||
!gupxx||!gupxy||!gupxz||!gupyy||!gupyz||!gupzz) {
gont = 1;
}
/* ==== 1. Compute all derivatives ==== */
if (!gont) {
/* metric derivatives */
fderivs(ex, Lap, Lapx, Lapy, Lapz, X, Y, Z, SYM, SYM, SYM, Symmetry, Lev);
fderivs(ex, betax, betaxx, betaxy, betaxz, X, Y, Z, ANTI, SYM, SYM, Symmetry, Lev);
fderivs(ex, betay, betayx, betayy, betayz, X, Y, Z, SYM, ANTI, SYM, Symmetry, Lev);
fderivs(ex, betaz, betazx, betazy, betazz, X, Y, Z, SYM, SYM, ANTI, Symmetry, Lev);
fderivs(ex, chi, chix, chiy, chiz, X, Y, Z, SYM, SYM, SYM, Symmetry, Lev);
fderivs(ex, dxx, gxxx, gxxy, gxxz, X, Y, Z, SYM, SYM, SYM, Symmetry, Lev);
fderivs(ex, gxy, gxyx, gxyy, gxyz, X, Y, Z, ANTI, ANTI, SYM, Symmetry, Lev);
fderivs(ex, gxz, gxzx, gxzy, gxzz, X, Y, Z, ANTI, SYM, ANTI, Symmetry, Lev);
fderivs(ex, dyy, gyyx, gyyy, gyyz, X, Y, Z, SYM, SYM, SYM, Symmetry, Lev);
fderivs(ex, gyz, gyzx, gyzy, gyzz, X, Y, Z, SYM, ANTI, ANTI, Symmetry, Lev);
fderivs(ex, dzz, gzzx, gzzy, gzzz, X, Y, Z, SYM, SYM, SYM, Symmetry, Lev);
/* EM field derivatives */
fderivs(ex, Kpsi, Kpsix, Kpsiy, Kpsiz, X, Y, Z, SYM, SYM, SYM, Symmetry, Lev);
fderivs(ex, Kphi, Kphix, Kphiy, Kphiz, X, Y, Z, SYM, SYM, SYM, Symmetry, Lev);
fderivs(ex, Ex, Exx, Exy, Exz, X, Y, Z, ANTI, SYM, SYM, Symmetry, Lev);
fderivs(ex, Ey, Eyx, Eyy, Eyz, X, Y, Z, SYM, ANTI, SYM, Symmetry, Lev);
fderivs(ex, Ez, Ezx, Ezy, Ezz, X, Y, Z, SYM, SYM, ANTI, Symmetry, Lev);
fderivs(ex, Bx, Bxx, Bxy, Bxz, X, Y, Z, SYM, ANTI, ANTI, Symmetry, Lev);
fderivs(ex, By, Byx, Byy, Byz, X, Y, Z, ANTI, SYM, ANTI, Symmetry, Lev);
fderivs(ex, Bz, Bzx, Bzy, Bzz, X, Y, Z, ANTI, ANTI, SYM, Symmetry, Lev);
/* ==== 2. Compute EM RHS and stress-energy ==== */
const double F1o4PI = ONE / (FOUR * PI);
for (size_t i = 0; i < n; ++i) {
const double alpn1 = Lap[i] + ONE;
const double chin1 = chi[i] + ONE;
const double chi3o2 = sqrt(chin1) * chin1; // chi^{3/2}
const double ichi = ONE / chin1;
/* physical metric */
const double pgxx = (dxx[i] + ONE) * ichi;
const double pgyy = (dyy[i] + ONE) * ichi;
const double pgzz = (dzz[i] + ONE) * ichi;
const double pgxy = gxy[i] * ichi;
const double pgxz = gxz[i] * ichi;
const double pgyz = gyz[i] * ichi;
/* inverse physical metric */
const double det = pgxx * pgyy * pgzz + pgxy * pgyz * pgxz + pgxz * pgxy * pgyz
- pgxz * pgyy * pgxz - pgxy * pgxy * pgzz - pgxx * pgyz * pgyz;
const double idet = ONE / det;
const double upxx = (pgyy * pgzz - pgyz * pgyz) * idet;
const double upxy = -(pgxy * pgzz - pgyz * pgxz) * idet;
const double upxz = (pgxy * pgyz - pgyy * pgxz) * idet;
const double upyy = (pgxx * pgzz - pgxz * pgxz) * idet;
const double upyz = -(pgxx * pgyz - pgxy * pgxz) * idet;
const double upzz = (pgxx * pgyy - pgxy * pgxy) * idet;
gupxx[i]=upxx; gupxy[i]=upxy; gupxz[i]=upxz;
gupyy[i]=upyy; gupyz[i]=upyz; gupzz[i]=upzz;
/* E-field RHS */
/* curl(B) part: epsilon^{ijk} ∂_j (alpha * B_k) in coordinate basis */
/* Using lower-index B fields: B_i_lower = pg_{ij} * B^j */
const double BxL = pgxx*Bx[i] + pgxy*By[i] + pgxz*Bz[i];
const double ByL = pgxy*Bx[i] + pgyy*By[i] + pgyz*Bz[i];
const double BzL = pgxz*Bx[i] + pgyz*By[i] + pgzz*Bz[i];
/* Physical metric derivatives (chain rule from conformal) */
const double pgxx_x = (gxxx[i] - pgxx*chix[i]) * ichi;
/* const double pgxx_y = (gxxy[i] - pgxx*chiy[i]) * ichi; */
const double pgxy_x = (gxyx[i] - pgxy*chix[i]) * ichi;
const double pgxy_y = (gxyy[i] - pgxy*chiy[i]) * ichi;
const double pgxz_x = (gxzx[i] - pgxz*chix[i]) * ichi;
const double pgxz_z = (gxzz[i] - pgxz*chiz[i]) * ichi;
const double pgyy_y = (gyyy[i] - pgyy*chiy[i]) * ichi;
const double pgyz_y = (gyzy[i] - pgyz*chiy[i]) * ichi;
const double pgyz_z = (gyzz[i] - pgyz*chiz[i]) * ichi;
const double pgzz_z = (gzzz[i] - pgzz*chiz[i]) * ichi;
/* Curl_x(B) = ∂_y (alpha*BzL) - ∂_z (alpha*ByL) */
const double aBx = alpn1*BxL, aBy = alpn1*ByL, aBz = alpn1*BzL;
const double curlBx = (aBz*Lapy[i] + alpn1*(pgxz*Bxy[i]+pgyz*Byy[i]+pgzz*Bzy[i]) + alpn1*(Bx[i]*gxzy[i]+By[i]*gyzy[i]+Bz[i]*gzzy[i]))
- (aBy*Lapz[i] + alpn1*(pgxy*Bxz[i]+pgyy*Byz[i]+pgyz*Bzz[i]) + alpn1*(Bx[i]*gxyz[i]+By[i]*gyyz[i]+Bz[i]*gyzz[i]));
double curlBy = (aBx*Lapz[i] + alpn1*(pgxx*Bxz[i]+pgxy*Byz[i]+pgxz*Bzz[i]) + alpn1*(Bx[i]*gxxz[i]+By[i]*gxyz[i]+Bz[i]*gxzz[i]))
- (aBz*Lapx[i] + alpn1*(pgxz*Bxx[i]+pgyz*Byx[i]+pgzz*Bzx[i]) + alpn1*(Bx[i]*gxzx[i]+By[i]*gyzx[i]+Bz[i]*gzzx[i]));
double curlBz = (aBy*Lapx[i] + alpn1*(pgxy*Bxx[i]+pgyy*Byx[i]+pgyz*Bzx[i]) + alpn1*(Bx[i]*gxyx[i]+By[i]*gyyx[i]+Bz[i]*gyzx[i]))
- (aBx*Lapy[i] + alpn1*(pgxx*Bxy[i]+pgxy*Byy[i]+pgxz*Bzy[i]) + alpn1*(Bx[i]*gxxy[i]+By[i]*gxyy[i]+Bz[i]*gxzy[i]));
/* Advection part: -beta^j * ∂_j E^i */
const double advEx = Ex[i]*betaxx[i] + Ey[i]*betaxy[i] + Ez[i]*betaxz[i];
const double advEy = Ex[i]*betayx[i] + Ey[i]*betayy[i] + Ez[i]*betayz[i];
const double advEz = Ex[i]*betazx[i] + Ey[i]*betazy[i] + Ez[i]*betazz[i];
/* grad(Kpsi) contracted with inverse metric */
const double gupKx = upxx*Kpsix[i] + upxy*Kpsiy[i] + upxz*Kpsiz[i];
const double gupKy = upxy*Kpsix[i] + upyy*Kpsiy[i] + upyz*Kpsiz[i];
const double gupKz = upxz*Kpsix[i] + upyz*Kpsiy[i] + upzz*Kpsiz[i];
Ex_rhs[i] = alpn1*trK[i]*Ex[i] - advEx - FOUR*PI*alpn1*Jx[i] - alpn1*gupKx + chi3o2*curlBx;
Ey_rhs[i] = alpn1*trK[i]*Ey[i] - advEy - FOUR*PI*alpn1*Jy[i] - alpn1*gupKy + chi3o2*curlBy;
Ez_rhs[i] = alpn1*trK[i]*Ez[i] - advEz - FOUR*PI*alpn1*Jz[i] - alpn1*gupKz + chi3o2*curlBz;
/* B-field RHS: similar but with -chi^{3/2} * curl(E) and grad(Kphi) */
const double ExL = pgxx*Ex[i] + pgxy*Ey[i] + pgxz*Ez[i];
const double EyL = pgxy*Ex[i] + pgyy*Ey[i] + pgyz*Ez[i];
const double EzL = pgxz*Ex[i] + pgyz*Ey[i] + pgzz*Ez[i];
const double aEx = alpn1*ExL, aEy = alpn1*EyL, aEz = alpn1*EzL;
const double curlEx = (aEz*Lapy[i] + alpn1*(pgxz*Exy[i]+pgyz*Eyy[i]+pgzz*Ezy[i]) + alpn1*(Ex[i]*gxzy[i]+Ey[i]*gyzy[i]+Ez[i]*gzzy[i]))
- (aEy*Lapz[i] + alpn1*(pgxy*Exz[i]+pgyy*Eyz[i]+pgyz*Ezz[i]) + alpn1*(Ex[i]*gxyz[i]+Ey[i]*gyyz[i]+Ez[i]*gyzz[i]));
double curlEy = (aEx*Lapz[i] + alpn1*(pgxx*Exz[i]+pgxy*Eyz[i]+pgxz*Ezz[i]) + alpn1*(Ex[i]*gxxz[i]+Ey[i]*gxyz[i]+Ez[i]*gxzz[i]))
- (aEz*Lapx[i] + alpn1*(pgxz*Exx[i]+pgyz*Eyx[i]+pgzz*Ezx[i]) + alpn1*(Ex[i]*gxzx[i]+Ey[i]*gyzx[i]+Ez[i]*gzzx[i]));
double curlEz = (aEy*Lapx[i] + alpn1*(pgxy*Exx[i]+pgyy*Eyx[i]+pgyz*Ezx[i]) + alpn1*(Ex[i]*gxyx[i]+Ey[i]*gyyx[i]+Ez[i]*gyzx[i]))
- (aEx*Lapy[i] + alpn1*(pgxx*Exy[i]+pgxy*Eyy[i]+pgxz*Ezy[i]) + alpn1*(Ex[i]*gxxy[i]+Ey[i]*gxyy[i]+Ez[i]*gxzy[i]));
const double advBx = Bx[i]*betaxx[i] + By[i]*betaxy[i] + Bz[i]*betaxz[i];
const double advBy = Bx[i]*betayx[i] + By[i]*betayy[i] + Bz[i]*betayz[i];
const double advBz = Bx[i]*betazx[i] + By[i]*betazy[i] + Bz[i]*betazz[i];
const double gupKphix = upxx*Kphix[i] + upxy*Kphiy[i] + upxz*Kphiz[i];
const double gupKphiy = upxy*Kphix[i] + upyy*Kphiy[i] + upyz*Kphiz[i];
const double gupKphiz = upxz*Kphix[i] + upyz*Kphiy[i] + upzz*Kphiz[i];
Bx_rhs[i] = alpn1*trK[i]*Bx[i] - advBx - alpn1*gupKphix - chi3o2*curlEx;
By_rhs[i] = alpn1*trK[i]*By[i] - advBy - alpn1*gupKphiy - chi3o2*curlEy;
Bz_rhs[i] = alpn1*trK[i]*Bz[i] - advBz - alpn1*gupKphiz - chi3o2*curlEz;
/* Scalar potential RHS */
const double divE = Exx[i] + Eyy[i] + Ezz[i];
const double divB = Bxx[i] + Byy[i] + Bzz[i];
const double chiCont = F3o2 * ichi * (chix[i]*Ex[i] + chiy[i]*Ey[i] + chiz[i]*Ez[i]);
Kpsi_rhs[i] = FOUR*PI*alpn1*qchar[i] - alpn1*kappa*Kpsi[i] - alpn1*(divE - chiCont);
Kphi_rhs[i] = -alpn1*kappa*Kphi[i] - alpn1*(divB - F3o2*ichi*(chix[i]*Bx[i] + chiy[i]*By[i] + chiz[i]*Bz[i]));
/* Stress-energy tensor */
const double E2 = pgxx*Ex[i]*Ex[i] + pgyy*Ey[i]*Ey[i] + pgzz*Ez[i]*Ez[i]
+ TWO*(pgxy*Ex[i]*Ey[i] + pgxz*Ex[i]*Ez[i] + pgyz*Ey[i]*Ez[i]);
const double B2 = pgxx*Bx[i]*Bx[i] + pgyy*By[i]*By[i] + pgzz*Bz[i]*Bz[i]
+ TWO*(pgxy*Bx[i]*By[i] + pgxz*Bx[i]*Bz[i] + pgyz*By[i]*Bz[i]);
rho[i] = (E2 + B2) / (EIT * PI);
const double ichi3o2 = ONE / chi3o2;
Sx[i] = (Ey[i]*Bz[i] - Ez[i]*By[i]) * F1o4PI * ichi3o2;
Sy[i] = (Ez[i]*Bx[i] - Ex[i]*Bz[i]) * F1o4PI * ichi3o2;
Sz[i] = (Ex[i]*By[i] - Ey[i]*Bx[i]) * F1o4PI * ichi3o2;
const double lExi = pgxx*Ex[i] + pgxy*Ey[i] + pgxz*Ez[i];
const double lEyi = pgxy*Ex[i] + pgyy*Ey[i] + pgyz*Ez[i];
const double lEzi = pgxz*Ex[i] + pgyz*Ey[i] + pgzz*Ez[i];
const double lBxi = pgxx*Bx[i] + pgxy*By[i] + pgxz*Bz[i];
const double lByi = pgxy*Bx[i] + pgyy*By[i] + pgyz*Bz[i];
const double lBzi = pgxz*Bx[i] + pgyz*By[i] + pgzz*Bz[i];
Sxx[i] = rho[i]*pgxx - (lExi*lExi + lBxi*lBxi) * F1o4PI;
Sxy[i] = rho[i]*pgxy - (lExi*lEyi + lBxi*lByi) * F1o4PI;
Sxz[i] = rho[i]*pgxz - (lExi*lEzi + lBxi*lBzi) * F1o4PI;
Syy[i] = rho[i]*pgyy - (lEyi*lEyi + lByi*lByi) * F1o4PI;
Syz[i] = rho[i]*pgyz - (lEyi*lEzi + lByi*lBzi) * F1o4PI;
Szz[i] = rho[i]*pgzz - (lEzi*lEzi + lBzi*lBzi) * F1o4PI;
}
/* ==== 3. Call BSSN RHS with EM stress-energy ==== */
gont = f_compute_rhs_bssn(ex, T, X, Y, Z,
chi, trK, dxx, gxy, gxz, dyy, gyz, dzz,
Axx, Axy, Axz, Ayy, Ayz, Azz,
Gamx, Gamy, Gamz, Lap, betax, betay, betaz, dtSfx, dtSfy, dtSfz,
chi_rhs, trK_rhs,
gxx_rhs, gxy_rhs, gxz_rhs, gyy_rhs, gyz_rhs, gzz_rhs,
Axx_rhs, Axy_rhs, Axz_rhs, Ayy_rhs, Ayz_rhs, Azz_rhs,
Gamx_rhs, Gamy_rhs, Gamz_rhs, Lap_rhs, betax_rhs, betay_rhs, betaz_rhs,
dtSfx_rhs, dtSfy_rhs, dtSfz_rhs,
rho, Sx, Sy, Sz, Sxx, Sxy, Sxz, Syy, Syz, Szz,
Gamxxx, Gamxxy, Gamxxz, Gamxyy, Gamxyz, Gamxzz,
Gamyxx, Gamyxy, Gamyxz, Gamyyy, Gamyyz, Gamyzz,
Gamzxx, Gamzxy, Gamzxz, Gamzyy, Gamzyz, Gamzzz,
Rxx, Rxy, Rxz, Ryy, Ryz, Rzz,
ham_Res, movx_Res, movy_Res, movz_Res,
Gmx_Res, Gmy_Res, Gmz_Res,
Symmetry, Lev, eps, co);
if (!gont) {
/* ==== 4. Advection terms for EM fields ==== */
lopsided(ex, X, Y, Z, Kpsi, Kpsi_rhs, betax, betay, betaz, Symmetry, SSS);
lopsided(ex, X, Y, Z, Kphi, Kphi_rhs, betax, betay, betaz, Symmetry, SSS);
lopsided(ex, X, Y, Z, Ex, Ex_rhs, betax, betay, betaz, Symmetry, ASS);
lopsided(ex, X, Y, Z, Ey, Ey_rhs, betax, betay, betaz, Symmetry, SAS);
lopsided(ex, X, Y, Z, Ez, Ez_rhs, betax, betay, betaz, Symmetry, SSA);
lopsided(ex, X, Y, Z, Bx, Bx_rhs, betax, betay, betaz, Symmetry, SAA);
lopsided(ex, X, Y, Z, By, By_rhs, betax, betay, betaz, Symmetry, ASA);
lopsided(ex, X, Y, Z, Bz, Bz_rhs, betax, betay, betaz, Symmetry, AAS);
/* ==== 5. KO dissipation for EM fields ==== */
if (eps > ZEO) {
kodis(ex, X, Y, Z, Kpsi, Kpsi_rhs, SSS, Symmetry, eps);
kodis(ex, X, Y, Z, Kphi, Kphi_rhs, SSS, Symmetry, eps);
kodis(ex, X, Y, Z, Ex, Ex_rhs, ASS, Symmetry, eps);
kodis(ex, X, Y, Z, Ey, Ey_rhs, SAS, Symmetry, eps);
kodis(ex, X, Y, Z, Ez, Ez_rhs, SSA, Symmetry, eps);
kodis(ex, X, Y, Z, Bx, Bx_rhs, SAA, Symmetry, eps);
kodis(ex, X, Y, Z, By, By_rhs, ASA, Symmetry, eps);
kodis(ex, X, Y, Z, Bz, Bz_rhs, AAS, Symmetry, eps);
}
/* ==== 6. NaN check ==== */
for (int i = 0; i < all; ++i) {
if (!isfinite(Ex_rhs[i]+Ey_rhs[i]+Ez_rhs[i]+Bx_rhs[i]+By_rhs[i]+Bz_rhs[i]+Kpsi_rhs[i]+Kphi_rhs[i])) {
gont = 1; break;
}
}
} /* inner if (!gont) */
} /* outer if (!gont) */
free(chix);free(chiy);free(chiz);
free(Exx);free(Exy);free(Exz);free(Eyx);free(Eyy);free(Eyz);free(Ezx);free(Ezy);free(Ezz);
free(Bxx);free(Bxy);free(Bxz);free(Byx);free(Byy);free(Byz);free(Bzx);free(Bzy);free(Bzz);
free(Kpsix);free(Kpsiy);free(Kpsiz);
free(Kphix);free(Kphiy);free(Kphiz);
free(Lapx);free(Lapy);free(Lapz);
free(betaxx);free(betaxy);free(betaxz);free(betayx);free(betayy);free(betayz);free(betazx);free(betazy);free(betazz);
free(gxxx);free(gxxy);free(gxxz);free(gxyx);free(gxyy);free(gxyz);free(gxzx);free(gxzy);free(gxzz);
free(gyyx);free(gyyy);free(gyyz);free(gyzx);free(gyzy);free(gyzz);free(gzzx);free(gzzy);free(gzzz);
free(gupxx);free(gupxy);free(gupxz);free(gupyy);free(gupyz);free(gupzz);
return gont;
}

View File

@@ -22,32 +22,32 @@
#define f_compute_rhs_Z4c_ss COMPUTE_RHS_Z4C_SS
#define f_compute_constraint_fr COMPUTE_CONSTRAINT_FR
#endif
#ifdef fortran3
#define f_compute_rhs_bssn compute_rhs_bssn_
#ifdef fortran3
#define f_compute_rhs_bssn compute_rhs_bssn_
#define f_compute_rhs_bssn_ss compute_rhs_bssn_ss_
#define f_compute_rhs_bssn_escalar compute_rhs_bssn_escalar_
#define f_compute_rhs_bssn_escalar_ss compute_rhs_bssn_escalar_ss_
#define f_compute_rhs_Z4c compute_rhs_z4c_
#define f_compute_rhs_Z4cnot compute_rhs_z4cnot_
#define f_compute_rhs_Z4c_ss compute_rhs_z4c_ss_
#define f_compute_constraint_fr compute_constraint_fr_
#endif
#ifdef __cplusplus
extern "C"
{
#endif
void f_bssn_rhs_kernel_timing_reset();
int f_bssn_rhs_kernel_timing_bucket_count();
const double *f_bssn_rhs_kernel_timing_local_seconds();
const char *f_bssn_rhs_kernel_timing_label(int);
#ifdef __cplusplus
}
#endif
extern "C"
{
int f_compute_rhs_bssn(int *, double &, double *, double *, double *, // ex,T,X,Y,Z
#define f_compute_constraint_fr compute_constraint_fr_
#endif
#ifdef __cplusplus
extern "C"
{
#endif
void f_bssn_rhs_kernel_timing_reset();
int f_bssn_rhs_kernel_timing_bucket_count();
const double *f_bssn_rhs_kernel_timing_local_seconds();
const char *f_bssn_rhs_kernel_timing_label(int);
#ifdef __cplusplus
}
#endif
extern "C"
{
int f_compute_rhs_bssn(int *, double &, double *, double *, double *, // ex,T,X,Y,Z
double *, double *, // chi, trK
double *, double *, double *, double *, double *, double *, // gij
double *, double *, double *, double *, double *, double *, // Aij
@@ -67,27 +67,6 @@ extern "C"
int &, int &, double &, int &);
}
int f_compute_rhs_bssn_escalar_c(int *, double &, double *, double *, double *, // ex,T,X,Y,Z
double *, double *, // chi, trK
double *, double *, double *, double *, double *, double *, // gij
double *, double *, double *, double *, double *, double *, // Aij
double *, double *, double *, // Gam
double *, double *, double *, double *, double *, double *, double *, // Gauge
double *, double *, // Sphi, Spi
double *, double *, // chi, trK
double *, double *, double *, double *, double *, double *, // gij
double *, double *, double *, double *, double *, double *, // Aij
double *, double *, double *, // Gam
double *, double *, double *, double *, double *, double *, double *, // Gauge
double *, double *, // Sphi, Spi
double *, double *, double *, double *, double *, double *, double *, double *, double *, double *, // stress-energy
double *, double *, double *, double *, double *, double *, // Christoffel
double *, double *, double *, double *, double *, double *, // Christoffel
double *, double *, double *, double *, double *, double *, // Christoffel
double *, double *, double *, double *, double *, double *, // Ricci
double *, double *, double *, double *, double *, double *, double *, // constraint violation
int &, int &, double &, int &);
extern "C"
{
int f_compute_rhs_bssn_ss(int *, double &, double *, double *, double *, // ex,T,rho,sigma,R
@@ -262,31 +241,4 @@ extern "C"
double *);
} // FR_cons
// BSSN-EM C kernel (replaces empart.f90 + bssn_rhs.f90 for BSSN+Maxwell)
int f_compute_rhs_bssn_em_c(int *, double &, double *, double *, double *,
double *, double *,
double *, double *, double *, double *, double *, double *,
double *, double *, double *, double *, double *, double *,
double *, double *, double *,
double *, double *, double *, double *, double *, double *, double *,
double *, double *, double *,
double *, double *, double *, double *, double *, double *, double *, double *,
double *, double *, double *,
double *, double *,
double *, double *,
double *, double *, double *, double *, double *, double *,
double *, double *, double *, double *, double *, double *,
double *, double *, double *,
double *, double *, double *, double *, double *, double *, double *,
double *, double *, double *, double *, double *, double *, double *, double *,
double *, double *, double *,
double *, double *, double *, double *,
double *, double *, double *, double *, double *, double *,
double *, double *, double *, double *, double *, double *,
double *, double *, double *, double *, double *, double *,
double *, double *, double *, double *, double *, double *,
double *, double *, double *, double *, double *, double *,
double *, double *, double *, double *, double *, double *,
int &, int &, double &, int &);
#endif /* BSSN_H */

View File

@@ -2792,12 +2792,13 @@ void kern_escalar_sources(
double * __restrict__ Sxz,
double * __restrict__ Syy,
double * __restrict__ Syz,
double * __restrict__ Szz)
double * __restrict__ Szz,
double escalar_a2)
{
constexpr double PI_V = 3.141592653589793238462643383279502884;
constexpr double TWO = 2.0;
constexpr double HALF = 0.5;
constexpr double A2 = 3.0;
const double A2 = escalar_a2;
for (int i = blockIdx.x * blockDim.x + threadIdx.x;
i < d_gp.all;
@@ -2852,7 +2853,7 @@ void kern_escalar_sources(
}
}
static void gpu_escalar_sources(int all)
static void gpu_escalar_sources(int all, double escalar_a2)
{
#define D(s) g_buf.slot[s]
gpu_fderivs(D(S_Sphi), D(S_Sphi_x), D(S_Sphi_y), D(S_Sphi_z), 1.0, 1.0, 1.0, all);
@@ -2872,7 +2873,8 @@ static void gpu_escalar_sources(int all)
D(S_Sphi_yy), D(S_Sphi_yz), D(S_Sphi_zz),
D(S_Sphi_rhs), D(S_Spi_rhs),
D(S_rho), D(S_Sx), D(S_Sy), D(S_Sz),
D(S_Sxx), D(S_Sxy), D(S_Sxz), D(S_Syy), D(S_Syz), D(S_Szz));
D(S_Sxx), D(S_Sxy), D(S_Sxz), D(S_Syy), D(S_Syz), D(S_Szz),
escalar_a2);
#undef D
}
@@ -6571,7 +6573,8 @@ static int active_or_keyed_bank(StepContext &ctx,
return 0;
}
static void launch_rhs_pipeline(int all, double eps, int co, bool compute_escalar = false)
static void launch_rhs_pipeline(int all, double eps, int co, bool compute_escalar = false,
double escalar_a2 = 3.0)
{
const double SYM = 1.0;
const double ANTI = -1.0;
@@ -6652,7 +6655,7 @@ static void launch_rhs_pipeline(int all, double eps, int co, bool compute_escala
D(S_gupyy), D(S_gupyz), D(S_gupzz));
if (compute_escalar) {
gpu_escalar_sources(all);
gpu_escalar_sources(all, escalar_a2);
gpu_fderivs(D(S_trK), D(S_trK_x), D(S_trK_y), D(S_trK_z), SYM, SYM, SYM, all);
}
@@ -7127,9 +7130,8 @@ int bssn_escalar_cuda_rk4_substep(void *block_tag,
#ifdef fortran3
set_escalar_parameter_(escalar_a2, escalar_phi0, escalar_r0, escalar_sigma0, escalar_l2);
#endif
if (fabs(escalar_a2 - 3.0) > 1.0e-12 && g_dispatch.my_rank == 0) {
fprintf(stderr, "CUDA BSSN-EScalar currently supports FR a2=3 for EScalar_CC=2/3; got %.17g\n",
escalar_a2);
if (fabs(escalar_a2) <= 1.0e-300 && g_dispatch.my_rank == 0) {
fprintf(stderr, "CUDA BSSN-EScalar requires nonzero FR a2; got %.17g\n", escalar_a2);
return 1;
}
@@ -7187,7 +7189,7 @@ int bssn_escalar_cuda_rk4_substep(void *block_tag,
}
}
launch_rhs_pipeline((int)all, eps, co, true);
launch_rhs_pipeline((int)all, eps, co, true, escalar_a2);
if (apply_bam_bc) {
for (int i = 0; i < BSSN_ESCALAR_STATE_COUNT; ++i) {
@@ -7250,7 +7252,7 @@ int bssn_escalar_cuda_compute_constraints(int *ex, double *X, double *Y, double
const size_t bytes = all * sizeof(double);
setup_grid_params(ex, X, Y, Z, Symmetry, eps, 0);
upload_escalar_state_inputs(state_host_in, all);
launch_rhs_pipeline((int)all, eps, 0, true);
launch_rhs_pipeline((int)all, eps, 0, true, escalar_a2);
#define D(s) g_buf.slot[s]
kern_escalar_constraint_fr<<<grid(all), BLK>>>(
@@ -7693,15 +7695,15 @@ __device__ __forceinline__ double load_comm_state_cell_sym(const double * __rest
{
double s = 1.0;
if (x < 0) {
x = -x;
x = -x - 1;
s *= d_comm_state_soa[3 * state_index + 0];
}
if (y < 0) {
y = -y;
y = -y - 1;
s *= d_comm_state_soa[3 * state_index + 1];
}
if (z < 0) {
z = -z;
z = -z - 1;
s *= d_comm_state_soa[3 * state_index + 2];
}
const int src = x + y * nx + z * nx * ny;

File diff suppressed because it is too large Load Diff

View File

@@ -1,321 +0,0 @@
#include "macrodef.h"
#include "share_func.h"
/*
* fdderivs_sh — second derivatives on shell patch in (rho, sigma, R) coords.
* Same stencil coefficients as Cartesian fdderivs. Uses symmetry_stbd.
*/
extern "C" void fdderivs_sh_(const int ex[3],
const double *f,
double *fxx, double *fxy, double *fxz,
double *fyy, double *fyz, double *fzz,
const double *X, const double *Y, const double *Z,
double SYM1, double SYM2, double SYM3,
int Symmetry, int onoff, int sst)
{
(void)SYM3; (void)onoff; (void)sst;
const int NO_SYMM=0, EQ_SYMM=1, OCTANT=2;
const double ZEO=0.0, ONE=1.0, TWO=2.0, F1o4=2.5e-1;
const double F8=8.0, F16=16.0, F30=30.0, F1o12=ONE/12.0, F1o144=ONE/144.0;
const double F9=9.0, F45=45.0, F60=60.0, F27=27.0, F270=270.0, F490=490.0;
const double F1o180=ONE/180.0, F1o3600=ONE/3600.0;
const double F32=32.0, F128=128.0, F168=168.0, F672=672.0, F840=840.0;
const double F1008=1008.0, F8064=8064.0, F14350=14350.0;
const double F1o5040=ONE/5040.0, F1o705600=ONE/705600.0;
const int ex1=ex[0], ex2=ex[1], ex3=ex[2];
const double dX=X[1]-X[0], dY=Y[1]-Y[0], dZ=Z[1]-Z[0];
const int imaxF=ex1, jmaxF=ex2, kmaxF=ex3;
const double SoA[2]={SYM1,SYM2};
#if (ghost_width == 2)
{
const int ord=1;
int iminF=1,jminF=1,kminF=1;
if(Symmetry==OCTANT&&fabs(X[0])<dX)iminF=0;
if(Symmetry==OCTANT&&fabs(Y[0])<dY)jminF=0;
if((sst==2||sst==4)&&fabs(Y[0])<dY)jminF=0;
const size_t nx=(size_t)ex1+2*ord,ny=(size_t)ex2+2*ord,nz=(size_t)ex3,fh_size=nx*ny*nz;
static double *fh_buf=NULL;static size_t cap=0;
if(fh_size>cap){free(fh_buf);fh_buf=(double*)aligned_alloc(64,fh_size*sizeof(double));cap=fh_size;}
double *fh=fh_buf;if(!fh)return;
symmetry_stbd(ord,ex,f,fh,SoA);
const double Sdxdx=ONE/(dX*dX),Sdydy=ONE/(dY*dY),Sdzdz=ONE/(dZ*dZ);
const double Sdxdy=F1o4/(dX*dY),Sdxdz=F1o4/(dX*dZ),Sdydz=F1o4/(dY*dZ);
const size_t all=(size_t)ex1*ex2*ex3;
for(size_t p=0;p<all;++p){fxx[p]=fyy[p]=fzz[p]=ZEO;fxy[p]=fxz[p]=fyz[p]=ZEO;}
const int i2_lo=(iminF>0)?iminF:0,j2_lo=(jminF>0)?jminF:0,k2_lo=1,i2_hi=ex1-2,j2_hi=ex2-2,k2_hi=ex3-2;
#define FH(iF,jF,kF) fh[idx_fh_stbd(iF,jF,kF,ord,ex)]
if(i2_lo<=i2_hi&&j2_lo<=j2_hi&&k2_lo<=k2_hi){
for(int k0=k2_lo;k0<=k2_hi;++k0){const int kF=k0+1;
for(int j0=j2_lo;j0<=j2_hi;++j0){const int jF=j0+1;
for(int i0=i2_lo;i0<=i2_hi;++i0){const int iF=i0+1;const size_t p=idx_ex(i0,j0,k0,ex);
fxx[p]=Sdxdx*(FH(iF-1,jF,kF)-TWO*FH(iF,jF,kF)+FH(iF+1,jF,kF));
fyy[p]=Sdydy*(FH(iF,jF-1,kF)-TWO*FH(iF,jF,kF)+FH(iF,jF+1,kF));
fzz[p]=Sdzdz*(FH(iF,jF,kF-1)-TWO*FH(iF,jF,kF)+FH(iF,jF,kF+1));
fxy[p]=Sdxdy*(FH(iF-1,jF-1,kF)-FH(iF+1,jF-1,kF)-FH(iF-1,jF+1,kF)+FH(iF+1,jF+1,kF));
fxz[p]=Sdxdz*(FH(iF-1,jF,kF-1)-FH(iF+1,jF,kF-1)-FH(iF-1,jF,kF+1)+FH(iF+1,jF,kF+1));
fyz[p]=Sdydz*(FH(iF,jF-1,kF-1)-FH(iF,jF+1,kF-1)-FH(iF,jF-1,kF+1)+FH(iF,jF+1,kF+1));
}}}
}
#undef FH
return;
}
#elif (ghost_width == 3)
{
const int ord=2;
int iminF=1,jminF=1,kminF=1;
if(Symmetry==OCTANT&&fabs(X[0])<dX)iminF=-1;
if(Symmetry==OCTANT&&fabs(Y[0])<dY)jminF=-1;
if((sst==2||sst==4)&&fabs(Y[0])<dY)jminF=-1;
const size_t nx=(size_t)ex1+2*ord,ny=(size_t)ex2+2*ord,nz=(size_t)ex3,fh_size=nx*ny*nz;
static double *fh_buf=NULL;static size_t cap=0;
if(fh_size>cap){free(fh_buf);fh_buf=(double*)aligned_alloc(64,fh_size*sizeof(double));cap=fh_size;}
double *fh=fh_buf;if(!fh)return;
symmetry_stbd(ord,ex,f,fh,SoA);
const double Sdxdx=ONE/(dX*dX),Sdydy=ONE/(dY*dY),Sdzdz=ONE/(dZ*dZ);
const double Fdxdx=F1o12/(dX*dX),Fdydy=F1o12/(dY*dY),Fdzdz=F1o12/(dZ*dZ);
const double Sdxdy=F1o4/(dX*dY),Sdxdz=F1o4/(dX*dZ),Sdydz=F1o4/(dY*dZ);
const double Fdxdy=F1o144/(dX*dY),Fdxdz=F1o144/(dX*dZ),Fdydz=F1o144/(dY*dZ);
const size_t all=(size_t)ex1*ex2*ex3;
for(size_t p=0;p<all;++p){fxx[p]=fyy[p]=fzz[p]=fxy[p]=fxz[p]=fyz[p]=ZEO;}
const int i2_lo=(iminF>0)?iminF:0,j2_lo=(jminF>0)?jminF:0,k2_lo=1,i2_hi=ex1-2,j2_hi=ex2-2,k2_hi=ex3-2;
const int i4_lo=(iminF+1>0)?iminF+1:0,j4_lo=(jminF+1>0)?jminF+1:0,k4_lo=2,i4_hi=ex1-3,j4_hi=ex2-3,k4_hi=ex3-3;
const int has4=(i4_lo<=i4_hi&&j4_lo<=j4_hi&&k4_lo<=k4_hi);
#define FH(iF,jF,kF) fh[idx_fh_stbd(iF,jF,kF,ord,ex)]
if(i2_lo<=i2_hi&&j2_lo<=j2_hi&&k2_lo<=k2_hi){
for(int k0=k2_lo;k0<=k2_hi;++k0){const int kF=k0+1;
for(int j0=j2_lo;j0<=j2_hi;++j0){const int jF=j0+1;
for(int i0=i2_lo;i0<=i2_hi;++i0){
if(has4&&i0>=i4_lo&&i0<=i4_hi&&j0>=j4_lo&&j0<=j4_hi&&k0>=k4_lo&&k0<=k4_hi)continue;
const int iF=i0+1;const size_t p=idx_ex(i0,j0,k0,ex);
fxx[p]=Sdxdx*(FH(iF-1,jF,kF)-TWO*FH(iF,jF,kF)+FH(iF+1,jF,kF));
fyy[p]=Sdydy*(FH(iF,jF-1,kF)-TWO*FH(iF,jF,kF)+FH(iF,jF+1,kF));
fzz[p]=Sdzdz*(FH(iF,jF,kF-1)-TWO*FH(iF,jF,kF)+FH(iF,jF,kF+1));
fxy[p]=Sdxdy*(FH(iF-1,jF-1,kF)-FH(iF+1,jF-1,kF)-FH(iF-1,jF+1,kF)+FH(iF+1,jF+1,kF));
fxz[p]=Sdxdz*(FH(iF-1,jF,kF-1)-FH(iF+1,jF,kF-1)-FH(iF-1,jF,kF+1)+FH(iF+1,jF,kF+1));
fyz[p]=Sdydz*(FH(iF,jF-1,kF-1)-FH(iF,jF+1,kF-1)-FH(iF,jF-1,kF+1)+FH(iF,jF+1,kF+1));
}}}
}
if(has4){
for(int k0=k4_lo;k0<=k4_hi;++k0){const int kF=k0+1;
for(int j0=j4_lo;j0<=j4_hi;++j0){const int jF=j0+1;
for(int i0=i4_lo;i0<=i4_hi;++i0){const int iF=i0+1;const size_t p=idx_ex(i0,j0,k0,ex);
fxx[p]=Fdxdx*(-FH(iF-2,jF,kF)+F16*FH(iF-1,jF,kF)-F30*FH(iF,jF,kF)-FH(iF+2,jF,kF)+F16*FH(iF+1,jF,kF));
fyy[p]=Fdydy*(-FH(iF,jF-2,kF)+F16*FH(iF,jF-1,kF)-F30*FH(iF,jF,kF)-FH(iF,jF+2,kF)+F16*FH(iF,jF+1,kF));
fzz[p]=Fdzdz*(-FH(iF,jF,kF-2)+F16*FH(iF,jF,kF-1)-F30*FH(iF,jF,kF)-FH(iF,jF,kF+2)+F16*FH(iF,jF,kF+1));
{const double t_jm2=(FH(iF-2,jF-2,kF)-F8*FH(iF-1,jF-2,kF)+F8*FH(iF+1,jF-2,kF)-FH(iF+2,jF-2,kF));
const double t_jm1=(FH(iF-2,jF-1,kF)-F8*FH(iF-1,jF-1,kF)+F8*FH(iF+1,jF-1,kF)-FH(iF+2,jF-1,kF));
const double t_jp1=(FH(iF-2,jF+1,kF)-F8*FH(iF-1,jF+1,kF)+F8*FH(iF+1,jF+1,kF)-FH(iF+2,jF+1,kF));
const double t_jp2=(FH(iF-2,jF+2,kF)-F8*FH(iF-1,jF+2,kF)+F8*FH(iF+1,jF+2,kF)-FH(iF+2,jF+2,kF));
fxy[p]=Fdxdy*(t_jm2-F8*t_jm1+F8*t_jp1-t_jp2);}
{const double t_km2=(FH(iF-2,jF,kF-2)-F8*FH(iF-1,jF,kF-2)+F8*FH(iF+1,jF,kF-2)-FH(iF+2,jF,kF-2));
const double t_km1=(FH(iF-2,jF,kF-1)-F8*FH(iF-1,jF,kF-1)+F8*FH(iF+1,jF,kF-1)-FH(iF+2,jF,kF-1));
const double t_kp1=(FH(iF-2,jF,kF+1)-F8*FH(iF-1,jF,kF+1)+F8*FH(iF+1,jF,kF+1)-FH(iF+2,jF,kF+1));
const double t_kp2=(FH(iF-2,jF,kF+2)-F8*FH(iF-1,jF,kF+2)+F8*FH(iF+1,jF,kF+2)-FH(iF+2,jF,kF+2));
fxz[p]=Fdxdz*(t_km2-F8*t_km1+F8*t_kp1-t_kp2);}
{const double t_km2=(FH(iF,jF-2,kF-2)-F8*FH(iF,jF-1,kF-2)+F8*FH(iF,jF+1,kF-2)-FH(iF,jF+2,kF-2));
const double t_km1=(FH(iF,jF-2,kF-1)-F8*FH(iF,jF-1,kF-1)+F8*FH(iF,jF+1,kF-1)-FH(iF,jF+2,kF-1));
const double t_kp1=(FH(iF,jF-2,kF+1)-F8*FH(iF,jF-1,kF+1)+F8*FH(iF,jF+1,kF+1)-FH(iF,jF+2,kF+1));
const double t_kp2=(FH(iF,jF-2,kF+2)-F8*FH(iF,jF-1,kF+2)+F8*FH(iF,jF+1,kF+2)-FH(iF,jF+2,kF+2));
fyz[p]=Fdydz*(t_km2-F8*t_km1+F8*t_kp1-t_kp2);}
}}}
}
#undef FH
return;
}
#elif (ghost_width == 4)
{
const int ord=3;
int iminF=1,jminF=1,kminF=1;
if(Symmetry==OCTANT&&fabs(X[0])<dX)iminF=-2;
if(Symmetry==OCTANT&&fabs(Y[0])<dY)jminF=-2;
if((sst==2||sst==4)&&fabs(Y[0])<dY)jminF=-2;
const size_t nx=(size_t)ex1+2*ord,ny=(size_t)ex2+2*ord,nz=(size_t)ex3,fh_size=nx*ny*nz;
static double *fh_buf=NULL;static size_t cap=0;
if(fh_size>cap){free(fh_buf);fh_buf=(double*)aligned_alloc(64,fh_size*sizeof(double));cap=fh_size;}
double *fh=fh_buf;if(!fh)return;
symmetry_stbd(ord,ex,f,fh,SoA);
const double Sdxdx=ONE/(dX*dX),Sdydy=ONE/(dY*dY),Sdzdz=ONE/(dZ*dZ);
const double Fdxdx=F1o12/(dX*dX),Fdydy=F1o12/(dY*dY),Fdzdz=F1o12/(dZ*dZ);
const double Xdxdx=F1o180/(dX*dX),Xdydy=F1o180/(dY*dY),Xdzdz=F1o180/(dZ*dZ);
const double Sdxdy=F1o4/(dX*dY),Sdxdz=F1o4/(dX*dZ),Sdydz=F1o4/(dY*dZ);
const double Fdxdy=F1o144/(dX*dY),Fdxdz=F1o144/(dX*dZ),Fdydz=F1o144/(dY*dZ);
const double Xdxdy=F1o3600/(dX*dY),Xdxdz=F1o3600/(dX*dZ),Xdydz=F1o3600/(dY*dZ);
const size_t all=(size_t)ex1*ex2*ex3;
for(size_t p=0;p<all;++p){fxx[p]=fyy[p]=fzz[p]=fxy[p]=fxz[p]=fyz[p]=ZEO;}
const int i2_lo=(iminF>0)?iminF:0,j2_lo=(jminF>0)?jminF:0,k2_lo=1,i2_hi=ex1-2,j2_hi=ex2-2,k2_hi=ex3-2;
const int i4_lo=(iminF+1>0)?iminF+1:0,j4_lo=(jminF+1>0)?jminF+1:0,k4_lo=2,i4_hi=ex1-3,j4_hi=ex2-3,k4_hi=ex3-3;
const int i6_lo=(iminF+2>0)?iminF+2:0,j6_lo=(jminF+2>0)?jminF+2:0,k6_lo=3,i6_hi=ex1-4,j6_hi=ex2-4,k6_hi=ex3-4;
const int has4=(i4_lo<=i4_hi&&j4_lo<=j4_hi&&k4_lo<=k4_hi),has6=(i6_lo<=i6_hi&&j6_lo<=j6_hi&&k6_lo<=k6_hi);
#define FH(iF,jF,kF) fh[idx_fh_stbd(iF,jF,kF,ord,ex)]
if(i2_lo<=i2_hi&&j2_lo<=j2_hi&&k2_lo<=k2_hi){for(int k0=k2_lo;k0<=k2_hi;++k0){const int kF=k0+1;
for(int j0=j2_lo;j0<=j2_hi;++j0){const int jF=j0+1;
for(int i0=i2_lo;i0<=i2_hi;++i0){bool in4=has4&&i0>=i4_lo&&i0<=i4_hi&&j0>=j4_lo&&j0<=j4_hi&&k0>=k4_lo&&k0<=k4_hi;if(in4)continue;
const int iF=i0+1;const size_t p=idx_ex(i0,j0,k0,ex);
fxx[p]=Sdxdx*(FH(iF-1,jF,kF)-TWO*FH(iF,jF,kF)+FH(iF+1,jF,kF));
fyy[p]=Sdydy*(FH(iF,jF-1,kF)-TWO*FH(iF,jF,kF)+FH(iF,jF+1,kF));
fzz[p]=Sdzdz*(FH(iF,jF,kF-1)-TWO*FH(iF,jF,kF)+FH(iF,jF,kF+1));
fxy[p]=Sdxdy*(FH(iF-1,jF-1,kF)-FH(iF+1,jF-1,kF)-FH(iF-1,jF+1,kF)+FH(iF+1,jF+1,kF));
fxz[p]=Sdxdz*(FH(iF-1,jF,kF-1)-FH(iF+1,jF,kF-1)-FH(iF-1,jF,kF+1)+FH(iF+1,jF,kF+1));
fyz[p]=Sdydz*(FH(iF,jF-1,kF-1)-FH(iF,jF+1,kF-1)-FH(iF,jF-1,kF+1)+FH(iF,jF+1,kF+1));
}}}}
if(has4){for(int k0=k4_lo;k0<=k4_hi;++k0){const int kF=k0+1;
for(int j0=j4_lo;j0<=j4_hi;++j0){const int jF=j0+1;
for(int i0=i4_lo;i0<=i4_hi;++i0){if(has6&&i0>=i6_lo&&i0<=i6_hi&&j0>=j6_lo&&j0<=j6_hi&&k0>=k6_lo&&k0<=k6_hi)continue;
const int iF=i0+1;const size_t p=idx_ex(i0,j0,k0,ex);
fxx[p]=Fdxdx*(-FH(iF-2,jF,kF)+F16*FH(iF-1,jF,kF)-F30*FH(iF,jF,kF)-FH(iF+2,jF,kF)+F16*FH(iF+1,jF,kF));
fyy[p]=Fdydy*(-FH(iF,jF-2,kF)+F16*FH(iF,jF-1,kF)-F30*FH(iF,jF,kF)-FH(iF,jF+2,kF)+F16*FH(iF,jF+1,kF));
fzz[p]=Fdzdz*(-FH(iF,jF,kF-2)+F16*FH(iF,jF,kF-1)-F30*FH(iF,jF,kF)-FH(iF,jF,kF+2)+F16*FH(iF,jF,kF+1));
{const double t_jm2=(FH(iF-2,jF-2,kF)-F8*FH(iF-1,jF-2,kF)+F8*FH(iF+1,jF-2,kF)-FH(iF+2,jF-2,kF));
const double t_jm1=(FH(iF-2,jF-1,kF)-F8*FH(iF-1,jF-1,kF)+F8*FH(iF+1,jF-1,kF)-FH(iF+2,jF-1,kF));
const double t_jp1=(FH(iF-2,jF+1,kF)-F8*FH(iF-1,jF+1,kF)+F8*FH(iF+1,jF+1,kF)-FH(iF+2,jF+1,kF));
const double t_jp2=(FH(iF-2,jF+2,kF)-F8*FH(iF-1,jF+2,kF)+F8*FH(iF+1,jF+2,kF)-FH(iF+2,jF+2,kF));
fxy[p]=Fdxdy*(t_jm2-F8*t_jm1+F8*t_jp1-t_jp2);}
{const double t_km2=(FH(iF-2,jF,kF-2)-F8*FH(iF-1,jF,kF-2)+F8*FH(iF+1,jF,kF-2)-FH(iF+2,jF,kF-2));
const double t_km1=(FH(iF-2,jF,kF-1)-F8*FH(iF-1,jF,kF-1)+F8*FH(iF+1,jF,kF-1)-FH(iF+2,jF,kF-1));
const double t_kp1=(FH(iF-2,jF,kF+1)-F8*FH(iF-1,jF,kF+1)+F8*FH(iF+1,jF,kF+1)-FH(iF+2,jF,kF+1));
const double t_kp2=(FH(iF-2,jF,kF+2)-F8*FH(iF-1,jF,kF+2)+F8*FH(iF+1,jF,kF+2)-FH(iF+2,jF,kF+2));
fxz[p]=Fdxdz*(t_km2-F8*t_km1+F8*t_kp1-t_kp2);}
{const double t_km2=(FH(iF,jF-2,kF-2)-F8*FH(iF,jF-1,kF-2)+F8*FH(iF,jF+1,kF-2)-FH(iF,jF+2,kF-2));
const double t_km1=(FH(iF,jF-2,kF-1)-F8*FH(iF,jF-1,kF-1)+F8*FH(iF,jF+1,kF-1)-FH(iF,jF+2,kF-1));
const double t_kp1=(FH(iF,jF-2,kF+1)-F8*FH(iF,jF-1,kF+1)+F8*FH(iF,jF+1,kF+1)-FH(iF,jF+2,kF+1));
const double t_kp2=(FH(iF,jF-2,kF+2)-F8*FH(iF,jF-1,kF+2)+F8*FH(iF,jF+1,kF+2)-FH(iF,jF+2,kF+2));
fyz[p]=Fdydz*(t_km2-F8*t_km1+F8*t_kp1-t_kp2);}
}}}}
if(has6){for(int k0=k6_lo;k0<=k6_hi;++k0){const int kF=k0+1;
for(int j0=j6_lo;j0<=j6_hi;++j0){const int jF=j0+1;
for(int i0=i6_lo;i0<=i6_hi;++i0){const int iF=i0+1;const size_t p=idx_ex(i0,j0,k0,ex);
fxx[p]=Xdxdx*(TWO*FH(iF-3,jF,kF)-F27*FH(iF-2,jF,kF)+F270*FH(iF-1,jF,kF)-F490*FH(iF,jF,kF)+F270*FH(iF+1,jF,kF)-F27*FH(iF+2,jF,kF)+TWO*FH(iF+3,jF,kF));
fyy[p]=Xdydy*(TWO*FH(iF,jF-3,kF)-F27*FH(iF,jF-2,kF)+F270*FH(iF,jF-1,kF)-F490*FH(iF,jF,kF)+F270*FH(iF,jF+1,kF)-F27*FH(iF,jF+2,kF)+TWO*FH(iF,jF+3,kF));
fzz[p]=Xdzdz*(TWO*FH(iF,jF,kF-3)-F27*FH(iF,jF,kF-2)+F270*FH(iF,jF,kF-1)-F490*FH(iF,jF,kF)+F270*FH(iF,jF,kF+1)-F27*FH(iF,jF,kF+2)+TWO*FH(iF,jF,kF+3));
#define XS6(JF,KFDUMMY) (-FH(iF-3,JF,KFDUMMY)+F9*FH(iF-2,JF,KFDUMMY)-F45*FH(iF-1,JF,KFDUMMY)+F45*FH(iF+1,JF,KFDUMMY)-F9*FH(iF+2,JF,KFDUMMY)+FH(iF+3,JF,KFDUMMY))
fxy[p]=Xdxdy*(-XS6(jF-3,kF)+F9*XS6(jF-2,kF)-F45*XS6(jF-1,kF)+F45*XS6(jF+1,kF)-F9*XS6(jF+2,kF)+XS6(jF+3,kF));
fxz[p]=Xdxdz*(-XS6(jF,kF-3)+F9*XS6(jF,kF-2)-F45*XS6(jF,kF-1)+F45*XS6(jF,kF+1)-F9*XS6(jF,kF+2)+XS6(jF,kF+3));
#undef XS6
#define YS6(JF,KFDUMMY) (-FH(iF,JF-3,KFDUMMY)+F9*FH(iF,JF-2,KFDUMMY)-F45*FH(iF,JF-1,KFDUMMY)+F45*FH(iF,JF+1,KFDUMMY)-F9*FH(iF,JF+2,KFDUMMY)+FH(iF,JF+3,KFDUMMY))
fyz[p]=Xdydz*(-YS6(jF,kF-3)+F9*YS6(jF,kF-2)-F45*YS6(jF,kF-1)+F45*YS6(jF,kF+1)-F9*YS6(jF,kF+2)+YS6(jF,kF+3));
#undef YS6
}}}}
#undef FH
return;
}
#elif (ghost_width == 5)
{
/* 8th-order shell second derivatives — inherits 8th-order stencil coeffs from Cartesian */
const int ord=4;
int iminF=1,jminF=1,kminF=1;
if(Symmetry==OCTANT&&fabs(X[0])<dX)iminF=-3;
if(Symmetry==OCTANT&&fabs(Y[0])<dY)jminF=-3;
if((sst==2||sst==4)&&fabs(Y[0])<dY)jminF=-3;
const size_t nx=(size_t)ex1+2*ord,ny=(size_t)ex2+2*ord,nz=(size_t)ex3,fh_size=nx*ny*nz;
static double *fh_buf=NULL;static size_t cap=0;
if(fh_size>cap){free(fh_buf);fh_buf=(double*)aligned_alloc(64,fh_size*sizeof(double));cap=fh_size;}
double *fh=fh_buf;if(!fh)return;
symmetry_stbd(ord,ex,f,fh,SoA);
const double Sdxdx=ONE/(dX*dX),Sdydy=ONE/(dY*dY),Sdzdz=ONE/(dZ*dZ);
const double Fdxdx=F1o12/(dX*dX),Fdydy=F1o12/(dY*dY),Fdzdz=F1o12/(dZ*dZ);
const double Xdxdx=F1o180/(dX*dX),Xdydy=F1o180/(dY*dY),Xdzdz=F1o180/(dZ*dZ);
const double Edxdx=F1o5040/(dX*dX),Edydy=F1o5040/(dY*dY),Edzdz=F1o5040/(dZ*dZ);
const double Sdxdy=F1o4/(dX*dY),Sdxdz=F1o4/(dX*dZ),Sdydz=F1o4/(dY*dZ);
const double Fdxdy=F1o144/(dX*dY),Fdxdz=F1o144/(dX*dZ),Fdydz=F1o144/(dY*dZ);
const double Xdxdy=F1o3600/(dX*dY),Xdxdz=F1o3600/(dX*dZ),Xdydz=F1o3600/(dY*dZ);
const double Edxdy=F1o705600/(dX*dY),Edxdz=F1o705600/(dX*dZ),Edydz=F1o705600/(dY*dZ);
const size_t all=(size_t)ex1*ex2*ex3;
for(size_t p=0;p<all;++p){fxx[p]=fyy[p]=fzz[p]=fxy[p]=fxz[p]=fyz[p]=ZEO;}
const int i2_lo=(iminF>0)?iminF:0,j2_lo=(jminF>0)?jminF:0,k2_lo=1,i2_hi=ex1-2,j2_hi=ex2-2,k2_hi=ex3-2;
const int i4_lo=(iminF+1>0)?iminF+1:0,j4_lo=(jminF+1>0)?jminF+1:0,k4_lo=2,i4_hi=ex1-3,j4_hi=ex2-3,k4_hi=ex3-3;
const int i6_lo=(iminF+2>0)?iminF+2:0,j6_lo=(jminF+2>0)?jminF+2:0,k6_lo=3,i6_hi=ex1-4,j6_hi=ex2-4,k6_hi=ex3-4;
const int i8_lo=(iminF+3>0)?iminF+3:0,j8_lo=(jminF+3>0)?jminF+3:0,k8_lo=4,i8_hi=ex1-5,j8_hi=ex2-5,k8_hi=ex3-5;
const int has4=(i4_lo<=i4_hi&&j4_lo<=j4_hi&&k4_lo<=k4_hi),has6=(i6_lo<=i6_hi&&j6_lo<=j6_hi&&k6_lo<=k6_hi),has8=(i8_lo<=i8_hi&&j8_lo<=j8_hi&&k8_lo<=k8_hi);
#define FH(iF,jF,kF) fh[idx_fh_stbd(iF,jF,kF,ord,ex)]
/* 2nd-order pass */
if(i2_lo<=i2_hi&&j2_lo<=j2_hi&&k2_lo<=k2_hi){for(int k0=k2_lo;k0<=k2_hi;++k0){const int kF=k0+1;
for(int j0=j2_lo;j0<=j2_hi;++j0){const int jF=j0+1;
for(int i0=i2_lo;i0<=i2_hi;++i0){bool in4=has4&&i0>=i4_lo&&i0<=i4_hi&&j0>=j4_lo&&j0<=j4_hi&&k0>=k4_lo&&k0<=k4_hi;if(in4)continue;
const int iF=i0+1;const size_t p=idx_ex(i0,j0,k0,ex);
fxx[p]=Sdxdx*(FH(iF-1,jF,kF)-TWO*FH(iF,jF,kF)+FH(iF+1,jF,kF));
fyy[p]=Sdydy*(FH(iF,jF-1,kF)-TWO*FH(iF,jF,kF)+FH(iF,jF+1,kF));
fzz[p]=Sdzdz*(FH(iF,jF,kF-1)-TWO*FH(iF,jF,kF)+FH(iF,jF,kF+1));
fxy[p]=Sdxdy*(FH(iF-1,jF-1,kF)-FH(iF+1,jF-1,kF)-FH(iF-1,jF+1,kF)+FH(iF+1,jF+1,kF));
fxz[p]=Sdxdz*(FH(iF-1,jF,kF-1)-FH(iF+1,jF,kF-1)-FH(iF-1,jF,kF+1)+FH(iF+1,jF,kF+1));
fyz[p]=Sdydz*(FH(iF,jF-1,kF-1)-FH(iF,jF+1,kF-1)-FH(iF,jF-1,kF+1)+FH(iF,jF+1,kF+1));
}}}}
/* 4th-order pass */
if(has4){for(int k0=k4_lo;k0<=k4_hi;++k0){const int kF=k0+1;
for(int j0=j4_lo;j0<=j4_hi;++j0){const int jF=j0+1;
for(int i0=i4_lo;i0<=i4_hi;++i0){bool in6=has6&&i0>=i6_lo&&i0<=i6_hi&&j0>=j6_lo&&j0<=j6_hi&&k0>=k6_lo&&k0<=k6_hi;if(in6)continue;
const int iF=i0+1;const size_t p=idx_ex(i0,j0,k0,ex);
fxx[p]=Fdxdx*(-FH(iF-2,jF,kF)+F16*FH(iF-1,jF,kF)-F30*FH(iF,jF,kF)-FH(iF+2,jF,kF)+F16*FH(iF+1,jF,kF));
fyy[p]=Fdydy*(-FH(iF,jF-2,kF)+F16*FH(iF,jF-1,kF)-F30*FH(iF,jF,kF)-FH(iF,jF+2,kF)+F16*FH(iF,jF+1,kF));
fzz[p]=Fdzdz*(-FH(iF,jF,kF-2)+F16*FH(iF,jF,kF-1)-F30*FH(iF,jF,kF)-FH(iF,jF,kF+2)+F16*FH(iF,jF,kF+1));
{const double t_jm2=(FH(iF-2,jF-2,kF)-F8*FH(iF-1,jF-2,kF)+F8*FH(iF+1,jF-2,kF)-FH(iF+2,jF-2,kF));
const double t_jm1=(FH(iF-2,jF-1,kF)-F8*FH(iF-1,jF-1,kF)+F8*FH(iF+1,jF-1,kF)-FH(iF+2,jF-1,kF));
const double t_jp1=(FH(iF-2,jF+1,kF)-F8*FH(iF-1,jF+1,kF)+F8*FH(iF+1,jF+1,kF)-FH(iF+2,jF+1,kF));
const double t_jp2=(FH(iF-2,jF+2,kF)-F8*FH(iF-1,jF+2,kF)+F8*FH(iF+1,jF+2,kF)-FH(iF+2,jF+2,kF));
fxy[p]=Fdxdy*(t_jm2-F8*t_jm1+F8*t_jp1-t_jp2);}
{const double t_km2=(FH(iF-2,jF,kF-2)-F8*FH(iF-1,jF,kF-2)+F8*FH(iF+1,jF,kF-2)-FH(iF+2,jF,kF-2));
const double t_km1=(FH(iF-2,jF,kF-1)-F8*FH(iF-1,jF,kF-1)+F8*FH(iF+1,jF,kF-1)-FH(iF+2,jF,kF-1));
const double t_kp1=(FH(iF-2,jF,kF+1)-F8*FH(iF-1,jF,kF+1)+F8*FH(iF+1,jF,kF+1)-FH(iF+2,jF,kF+1));
const double t_kp2=(FH(iF-2,jF,kF+2)-F8*FH(iF-1,jF,kF+2)+F8*FH(iF+1,jF,kF+2)-FH(iF+2,jF,kF+2));
fxz[p]=Fdxdz*(t_km2-F8*t_km1+F8*t_kp1-t_kp2);}
{const double t_km2=(FH(iF,jF-2,kF-2)-F8*FH(iF,jF-1,kF-2)+F8*FH(iF,jF+1,kF-2)-FH(iF,jF+2,kF-2));
const double t_km1=(FH(iF,jF-2,kF-1)-F8*FH(iF,jF-1,kF-1)+F8*FH(iF,jF+1,kF-1)-FH(iF,jF+2,kF-1));
const double t_kp1=(FH(iF,jF-2,kF+1)-F8*FH(iF,jF-1,kF+1)+F8*FH(iF,jF+1,kF+1)-FH(iF,jF+2,kF+1));
const double t_kp2=(FH(iF,jF-2,kF+2)-F8*FH(iF,jF-1,kF+2)+F8*FH(iF,jF+1,kF+2)-FH(iF,jF+2,kF+2));
fyz[p]=Fdydz*(t_km2-F8*t_km1+F8*t_kp1-t_kp2);}
}}}}
/* 6th-order pass */
if(has6){for(int k0=k6_lo;k0<=k6_hi;++k0){const int kF=k0+1;
for(int j0=j6_lo;j0<=j6_hi;++j0){const int jF=j0+1;
for(int i0=i6_lo;i0<=i6_hi;++i0){if(has8&&i0>=i8_lo&&i0<=i8_hi&&j0>=j8_lo&&j0<=j8_hi&&k0>=k8_lo&&k0<=k8_hi)continue;
const int iF=i0+1;const size_t p=idx_ex(i0,j0,k0,ex);
fxx[p]=Xdxdx*(TWO*FH(iF-3,jF,kF)-F27*FH(iF-2,jF,kF)+F270*FH(iF-1,jF,kF)-F490*FH(iF,jF,kF)+F270*FH(iF+1,jF,kF)-F27*FH(iF+2,jF,kF)+TWO*FH(iF+3,jF,kF));
fyy[p]=Xdydy*(TWO*FH(iF,jF-3,kF)-F27*FH(iF,jF-2,kF)+F270*FH(iF,jF-1,kF)-F490*FH(iF,jF,kF)+F270*FH(iF,jF+1,kF)-F27*FH(iF,jF+2,kF)+TWO*FH(iF,jF+3,kF));
fzz[p]=Xdzdz*(TWO*FH(iF,jF,kF-3)-F27*FH(iF,jF,kF-2)+F270*FH(iF,jF,kF-1)-F490*FH(iF,jF,kF)+F270*FH(iF,jF,kF+1)-F27*FH(iF,jF,kF+2)+TWO*FH(iF,jF,kF+3));
#define XS6_8(JF,KFDUMMY) (-FH(iF-3,JF,KFDUMMY)+F9*FH(iF-2,JF,KFDUMMY)-F45*FH(iF-1,JF,KFDUMMY)+F45*FH(iF+1,JF,KFDUMMY)-F9*FH(iF+2,JF,KFDUMMY)+FH(iF+3,JF,KFDUMMY))
fxy[p]=Xdxdy*(-XS6_8(jF-3,kF)+F9*XS6_8(jF-2,kF)-F45*XS6_8(jF-1,kF)+F45*XS6_8(jF+1,kF)-F9*XS6_8(jF+2,kF)+XS6_8(jF+3,kF));
fxz[p]=Xdxdz*(-XS6_8(jF,kF-3)+F9*XS6_8(jF,kF-2)-F45*XS6_8(jF,kF-1)+F45*XS6_8(jF,kF+1)-F9*XS6_8(jF,kF+2)+XS6_8(jF,kF+3));
#undef XS6_8
#define YS6_8(JF,KFDUMMY) (-FH(iF,JF-3,KFDUMMY)+F9*FH(iF,JF-2,KFDUMMY)-F45*FH(iF,JF-1,KFDUMMY)+F45*FH(iF,JF+1,KFDUMMY)-F9*FH(iF,JF+2,KFDUMMY)+FH(iF,JF+3,KFDUMMY))
fyz[p]=Xdydz*(-YS6_8(jF,kF-3)+F9*YS6_8(jF,kF-2)-F45*YS6_8(jF,kF-1)+F45*YS6_8(jF,kF+1)-F9*YS6_8(jF,kF+2)+YS6_8(jF,kF+3));
#undef YS6_8
}}}}
/* 8th-order pass */
if(has8){for(int k0=k8_lo;k0<=k8_hi;++k0){const int kF=k0+1;
for(int j0=j8_lo;j0<=j8_hi;++j0){const int jF=j0+1;
for(int i0=i8_lo;i0<=i8_hi;++i0){const int iF=i0+1;const size_t p=idx_ex(i0,j0,k0,ex);
fxx[p]=Edxdx*(-(double)9*FH(iF-4,jF,kF)+F128*FH(iF-3,jF,kF)-F1008*FH(iF-2,jF,kF)+F8064*FH(iF-1,jF,kF)-F14350*FH(iF,jF,kF)+F8064*FH(iF+1,jF,kF)-F1008*FH(iF+2,jF,kF)+F128*FH(iF+3,jF,kF)-(double)9*FH(iF+4,jF,kF));
fyy[p]=Edydy*(-(double)9*FH(iF,jF-4,kF)+F128*FH(iF,jF-3,kF)-F1008*FH(iF,jF-2,kF)+F8064*FH(iF,jF-1,kF)-F14350*FH(iF,jF,kF)+F8064*FH(iF,jF+1,kF)-F1008*FH(iF,jF+2,kF)+F128*FH(iF,jF+3,kF)-(double)9*FH(iF,jF+4,kF));
fzz[p]=Edzdz*(-(double)9*FH(iF,jF,kF-4)+F128*FH(iF,jF,kF-3)-F1008*FH(iF,jF,kF-2)+F8064*FH(iF,jF,kF-1)-F14350*FH(iF,jF,kF)+F8064*FH(iF,jF,kF+1)-F1008*FH(iF,jF,kF+2)+F128*FH(iF,jF,kF+3)-(double)9*FH(iF,jF,kF+4));
#define XS8(JF,KFDUMMY) (+(double)3*FH(iF-4,JF,KFDUMMY)-F32*FH(iF-3,JF,KFDUMMY)+F168*FH(iF-2,JF,KFDUMMY)-F672*FH(iF-1,JF,KFDUMMY)+F672*FH(iF+1,JF,KFDUMMY)-F168*FH(iF+2,JF,KFDUMMY)+F32*FH(iF+3,JF,KFDUMMY)-(double)3*FH(iF+4,JF,KFDUMMY))
fxy[p]=Edxdy*(+(double)3*XS8(jF-4,kF)-F32*XS8(jF-3,kF)+F168*XS8(jF-2,kF)-F672*XS8(jF-1,kF)+F672*XS8(jF+1,kF)-F168*XS8(jF+2,kF)+F32*XS8(jF+3,kF)-(double)3*XS8(jF+4,kF));
fxz[p]=Edxdz*(+(double)3*XS8(jF,kF-4)-F32*XS8(jF,kF-3)+F168*XS8(jF,kF-2)-F672*XS8(jF,kF-1)+F672*XS8(jF,kF+1)-F168*XS8(jF,kF+2)+F32*XS8(jF,kF+3)-(double)3*XS8(jF,kF+4));
#undef XS8
#define YS8(JF,KFDUMMY) (+(double)3*FH(iF,JF-4,KFDUMMY)-F32*FH(iF,JF-3,KFDUMMY)+F168*FH(iF,JF-2,KFDUMMY)-F672*FH(iF,JF-1,KFDUMMY)+F672*FH(iF,JF+1,KFDUMMY)-F168*FH(iF,JF+2,KFDUMMY)+F32*FH(iF,JF+3,KFDUMMY)-(double)3*FH(iF,JF+4,KFDUMMY))
fyz[p]=Edydz*(+(double)3*YS8(jF,kF-4)-F32*YS8(jF,kF-3)+F168*YS8(jF,kF-2)-F672*YS8(jF,kF-1)+F672*YS8(jF,kF+1)-F168*YS8(jF,kF+2)+F32*YS8(jF,kF+3)-(double)3*YS8(jF,kF+4));
#undef YS8
}}}}
#undef FH
return;
}
#else
#error "fdderivs_sh_c.C: unsupported ghost_width"
#endif
}

View File

@@ -1,107 +0,0 @@
#include "macrodef.h"
#include "share_func.h"
#include <cstddef>
/* Forward declarations — Fortran-mangled names from shell C kernels */
extern "C" {
void fderivs_sh_(const int ex[3], const double *f,
double *fx, double *fy, double *fz,
const double *X, const double *Y, const double *Z,
double SYM1, double SYM2, double SYM3,
int Symmetry, int onoff, int sst);
void fdderivs_sh_(const int ex[3], const double *f,
double *fxx, double *fxy, double *fxz,
double *fyy, double *fyz, double *fzz,
const double *X, const double *Y, const double *Z,
double SYM1, double SYM2, double SYM3,
int Symmetry, int onoff, int sst);
void fdderivs_shc_(int *ex,
double *f,
double *fxx, double *fxy, double *fxz,
double *fyy, double *fyz, double *fzz,
double *crho, double *sigma, double *R,
double &SYM1, double &SYM2, double &SYM3,
int &Symmetry, int &Lev, int &sst,
double *drhodx, double *drhody, double *drhodz,
double *dsigmadx, double *dsigmady, double *dsigmadz,
double *dRdx, double *dRdy, double *dRdz,
double *drhodxx, double *drhodxy, double *drhodxz,
double *drhodyy, double *drhodyz, double *drhodzz,
double *dsigmadxx, double *dsigmadxy, double *dsigmadxz,
double *dsigmadyy, double *dsigmadyz, double *dsigmadzz,
double *dRdxx, double *dRdxy, double *dRdxz,
double *dRdyy, double *dRdyz, double *dRdzz)
{
const int ex3[3] = { ex[0], ex[1], ex[2] };
const size_t n = (size_t)ex[0] * (size_t)ex[1] * (size_t)ex[2];
double *gx = (double*)malloc(n * sizeof(double));
double *gy = (double*)malloc(n * sizeof(double));
double *gz = (double*)malloc(n * sizeof(double));
double *gxx = (double*)malloc(n * sizeof(double));
double *gxy = (double*)malloc(n * sizeof(double));
double *gxz = (double*)malloc(n * sizeof(double));
double *gyy = (double*)malloc(n * sizeof(double));
double *gyz = (double*)malloc(n * sizeof(double));
double *gzz = (double*)malloc(n * sizeof(double));
if (!gx||!gy||!gz||!gxx||!gxy||!gxz||!gyy||!gyz||!gzz) {
free(gx);free(gy);free(gz);free(gxx);free(gxy);free(gxz);free(gyy);free(gyz);free(gzz);
return;
}
fderivs_sh_(ex3, f, gx, gy, gz, crho, sigma, R, SYM1, SYM2, SYM3, Symmetry, Lev, sst);
fdderivs_sh_(ex3, f, gxx, gxy, gxz, gyy, gyz, gzz, crho, sigma, R, SYM1, SYM2, SYM3, Symmetry, Lev, sst);
for (size_t i = 0; i < n; ++i) {
const double rx=drhodx[i], ry=drhody[i], rz=drhodz[i];
const double sx=dsigmadx[i], sy=dsigmady[i], sz=dsigmadz[i];
const double Rx=dRdx[i], Ry=dRdy[i], Rz=dRdz[i];
const double rxx=drhodxx[i], rxy=drhodxy[i], rxz=drhodxz[i];
const double ryy=drhodyy[i], ryz=drhodyz[i], rzz=drhodzz[i];
const double sxx=dsigmadxx[i], sxy=dsigmadxy[i], sxz=dsigmadxz[i];
const double syy=dsigmadyy[i], syz=dsigmadyz[i], szz=dsigmadzz[i];
const double Rxx=dRdxx[i], Rxy=dRdxy[i], Rxz=dRdxz[i];
const double Ryy=dRdyy[i], Ryz=dRdyz[i], Rzz=dRdzz[i];
const double Gr=gx[i], Gs=gy[i], GR=gz[i];
const double Grr=gxx[i], Grs=gxy[i], GrR=gxz[i];
const double Gss=gyy[i], GsR=gyz[i], GRR=gzz[i];
/* fxx */
fxx[i] = rx*rx*Grr + sx*sx*Gss + Rx*Rx*GRR
+ 2.0*(rx*sx*Grs + rx*Rx*GrR + sx*Rx*GsR)
+ rxx*Gr + sxx*Gs + Rxx*GR;
/* fxy */
fxy[i] = rx*ry*Grr + sx*sy*Gss + Rx*Ry*GRR
+ rx*sy*Grs + ry*sx*Grs + rx*Ry*GrR + ry*Rx*GrR + sx*Ry*GsR + sy*Rx*GsR
+ rxy*Gr + sxy*Gs + Rxy*GR;
/* fxz */
fxz[i] = rx*rz*Grr + sx*sz*Gss + Rx*Rz*GRR
+ rx*sz*Grs + rz*sx*Grs + rx*Rz*GrR + rz*Rx*GrR + sx*Rz*GsR + sz*Rx*GsR
+ rxz*Gr + sxz*Gs + Rxz*GR;
/* fyy */
fyy[i] = ry*ry*Grr + sy*sy*Gss + Ry*Ry*GRR
+ 2.0*(ry*sy*Grs + ry*Ry*GrR + sy*Ry*GsR)
+ ryy*Gr + syy*Gs + Ryy*GR;
/* fyz */
fyz[i] = ry*rz*Grr + sy*sz*Gss + Ry*Rz*GRR
+ ry*sz*Grs + rz*sy*Grs + ry*Rz*GrR + rz*Ry*GrR + sy*Rz*GsR + sz*Ry*GsR
+ ryz*Gr + syz*Gs + Ryz*GR;
/* fzz */
fzz[i] = rz*rz*Grr + sz*sz*Gss + Rz*Rz*GRR
+ 2.0*(rz*sz*Grs + rz*Rz*GrR + sz*Rz*GsR)
+ rzz*Gr + szz*Gs + Rzz*GR;
}
free(gx);free(gy);free(gz);free(gxx);free(gxy);free(gxz);free(gyy);free(gyz);free(gzz);
}
} // extern "C"

View File

@@ -1,18 +1,14 @@
#include "macrodef.h"
#include "tool.h"
/*
* C 版 fderivs — first derivatives df/dx, df/dy, df/dz.
* C 版 fderivs
*
* Finite difference order is selected at compile time via the ghost_width macro
* (defined in macrodef.fh):
* ghost_width = 2 → 2nd-order
* ghost_width = 3 → 4th-order
* ghost_width = 4 → 6th-order
* ghost_width = 5 → 8th-order
* Fortran:
* subroutine fderivs(ex,f,fx,fy,fz,X,Y,Z,SYM1,SYM2,SYM3,symmetry,onoff)
*
* Multi-pass overwrite strategy: compute the widest (lowest-order) stencil first,
* then overwrite interior regions with progressively higher-order stencils.
* 约定:
* f, fx, fy, fz: ex1*ex2*ex3按 idx_ex 布局
* X: ex1, Y: ex2, Z: ex3
*/
void fderivs(const int ex[3],
const double *f,
@@ -21,596 +17,151 @@ void fderivs(const int ex[3],
double SYM1, double SYM2, double SYM3,
int Symmetry, int onoff)
{
(void)onoff;
(void)onoff; // Fortran 里没用到
const double ZEO = 0.0, ONE = 1.0, TWO = 2.0, EIT = 8.0;
const double F9 = 9.0, F12 = 12.0, F45 = 45.0, F60 = 60.0;
const double F32 = 32.0, F168 = 168.0, F672 = 672.0, F840 = 840.0;
const double ZEO = 0.0, ONE = 1.0;
const double TWO = 2.0, EIT = 8.0;
const double F12 = 12.0;
const int NO_SYMM = 0, EQ_SYMM = 1;
const int NO_SYMM = 0, EQ_SYMM = 1; // OCTANT=2 在本子程序里不直接用
const int ex1 = ex[0], ex2 = ex[1], ex3 = ex[2];
// dX = X(2)-X(1) -> C: X[1]-X[0]
const double dX = X[1] - X[0];
const double dY = Y[1] - Y[0];
const double dZ = Z[1] - Z[0];
const int imaxF = ex1, jmaxF = ex2, kmaxF = ex3;
// Fortran 1-based bounds
const int imaxF = ex1;
const int jmaxF = ex2;
const int kmaxF = ex3;
const int gw = ghost_width; // compile-time constant
int iminF = 1, jminF = 1, kminF = 1;
if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -1;
if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = -1;
if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = -1;
#if (ghost_width == 2)
/* ---- 2nd-order ------------------------------------------------------ */
{
const int ord = 1; // symmetry_bd ord = ghost_width - 1
// SoA(1:3) = SYM1,SYM2,SYM3
const double SoA[3] = { SYM1, SYM2, SYM3 };
int iminF = 1, jminF = 1, kminF = 1;
if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = 0;
if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = 0;
if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = 0;
// fh: (ex1+2)*(ex2+2)*(ex3+2) because ord=2
const size_t nx = (size_t)ex1 + 2;
const size_t ny = (size_t)ex2 + 2;
const size_t nz = (size_t)ex3 + 2;
const size_t fh_size = nx * ny * nz;
static double *fh = NULL;
static size_t cap = 0;
const double SoA[3] = { SYM1, SYM2, SYM3 };
const size_t nx = (size_t)ex1 + ord;
const size_t ny = (size_t)ex2 + ord;
const size_t nz = (size_t)ex3 + ord;
const size_t fh_size = nx * ny * nz;
static double *fh_buf = NULL;
static size_t cap = 0;
if (fh_size > cap) {
free(fh_buf);
fh_buf = (double*)aligned_alloc(64, fh_size * sizeof(double));
cap = fh_size;
}
double *fh = fh_buf;
if (!fh) return;
symmetry_bd(ord, ex, f, fh, SoA);
const double d2dx = ONE / TWO / dX;
const double d2dy = ONE / TWO / dY;
const double d2dz = ONE / TWO / dZ;
const size_t all = (size_t)ex1 * (size_t)ex2 * (size_t)ex3;
for (size_t p = 0; p < all; ++p) {
fx[p] = ZEO; fy[p] = ZEO; fz[p] = ZEO;
}
/* 2nd-order pass: [-1, 0, +1] / (2*dx) */
const int i2_lo = (iminF > 0) ? iminF : 0;
const int j2_lo = (jminF > 0) ? jminF : 0;
const int k2_lo = (kminF > 0) ? kminF : 0;
const int i2_hi = ex1 - 2;
const int j2_hi = ex2 - 2;
const int k2_hi = ex3 - 2;
if (i2_lo <= i2_hi && j2_lo <= j2_hi && k2_lo <= k2_hi) {
for (int k0 = k2_lo; k0 <= k2_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j2_lo; j0 <= j2_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i2_lo; i0 <= i2_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
fx[p] = d2dx * (
-fh[idx_fh_F_ord1(iF - 1, jF, kF, ex)] +
fh[idx_fh_F_ord1(iF + 1, jF, kF, ex)]
);
fy[p] = d2dy * (
-fh[idx_fh_F_ord1(iF, jF - 1, kF, ex)] +
fh[idx_fh_F_ord1(iF, jF + 1, kF, ex)]
);
fz[p] = d2dz * (
-fh[idx_fh_F_ord1(iF, jF, kF - 1, ex)] +
fh[idx_fh_F_ord1(iF, jF, kF + 1, ex)]
);
}
}
}
}
return;
if (fh_size > cap) {
free(fh);
fh = (double*)aligned_alloc(64, fh_size * sizeof(double));
cap = fh_size;
}
#elif (ghost_width == 3)
/* ---- 4th-order (original code) ------------------------------------ */
{
const int ord = 2; // symmetry_bd ord
// double *fh = (double*)malloc(fh_size * sizeof(double));
if (!fh) return;
int iminF = 1, jminF = 1, kminF = 1;
if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -1;
if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = -1;
if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = -1;
// call symmetry_bd(2,ex,f,fh,SoA)
symmetry_bd(2, ex, f, fh, SoA);
const double SoA[3] = { SYM1, SYM2, SYM3 };
const double d12dx = ONE / F12 / dX;
const double d12dy = ONE / F12 / dY;
const double d12dz = ONE / F12 / dZ;
const size_t nx = (size_t)ex1 + ord;
const size_t ny = (size_t)ex2 + ord;
const size_t nz = (size_t)ex3 + ord;
const size_t fh_size = nx * ny * nz;
const double d2dx = ONE / TWO / dX;
const double d2dy = ONE / TWO / dY;
const double d2dz = ONE / TWO / dZ;
static double *fh_buf = NULL;
static size_t cap = 0;
if (fh_size > cap) {
free(fh_buf);
fh_buf = (double*)aligned_alloc(64, fh_size * sizeof(double));
cap = fh_size;
}
double *fh = fh_buf;
if (!fh) return;
symmetry_bd(ord, ex, f, fh, SoA);
const double d12dx = ONE / F12 / dX;
const double d12dy = ONE / F12 / dY;
const double d12dz = ONE / F12 / dZ;
const double d2dx = ONE / TWO / dX;
const double d2dy = ONE / TWO / dY;
const double d2dz = ONE / TWO / dZ;
const size_t all = (size_t)ex1 * (size_t)ex2 * (size_t)ex3;
for (size_t p = 0; p < all; ++p) {
fx[p] = ZEO; fy[p] = ZEO; fz[p] = ZEO;
}
const int i2_lo = (iminF > 0) ? iminF : 0;
const int j2_lo = (jminF > 0) ? jminF : 0;
const int k2_lo = (kminF > 0) ? kminF : 0;
const int i2_hi = ex1 - 2;
const int j2_hi = ex2 - 2;
const int k2_hi = ex3 - 2;
const int i4_lo = (iminF + 1 > 0) ? (iminF + 1) : 0;
const int j4_lo = (jminF + 1 > 0) ? (jminF + 1) : 0;
const int k4_lo = (kminF + 1 > 0) ? (kminF + 1) : 0;
const int i4_hi = ex1 - 3;
const int j4_hi = ex2 - 3;
const int k4_hi = ex3 - 3;
if (i2_lo <= i2_hi && j2_lo <= j2_hi && k2_lo <= k2_hi) {
for (int k0 = k2_lo; k0 <= k2_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j2_lo; j0 <= j2_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i2_lo; i0 <= i2_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
fx[p] = d2dx * (
-fh[idx_fh_F_ord2(iF - 1, jF, kF, ex)] +
fh[idx_fh_F_ord2(iF + 1, jF, kF, ex)]
);
fy[p] = d2dy * (
-fh[idx_fh_F_ord2(iF, jF - 1, kF, ex)] +
fh[idx_fh_F_ord2(iF, jF + 1, kF, ex)]
);
fz[p] = d2dz * (
-fh[idx_fh_F_ord2(iF, jF, kF - 1, ex)] +
fh[idx_fh_F_ord2(iF, jF, kF + 1, ex)]
);
}
}
}
}
if (i4_lo <= i4_hi && j4_lo <= j4_hi && k4_lo <= k4_hi) {
for (int k0 = k4_lo; k0 <= k4_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j4_lo; j0 <= j4_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i4_lo; i0 <= i4_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
fx[p] = d12dx * (
fh[idx_fh_F_ord2(iF - 2, jF, kF, ex)] -
EIT * fh[idx_fh_F_ord2(iF - 1, jF, kF, ex)] +
EIT * fh[idx_fh_F_ord2(iF + 1, jF, kF, ex)] -
fh[idx_fh_F_ord2(iF + 2, jF, kF, ex)]
);
fy[p] = d12dy * (
fh[idx_fh_F_ord2(iF, jF - 2, kF, ex)] -
EIT * fh[idx_fh_F_ord2(iF, jF - 1, kF, ex)] +
EIT * fh[idx_fh_F_ord2(iF, jF + 1, kF, ex)] -
fh[idx_fh_F_ord2(iF, jF + 2, kF, ex)]
);
fz[p] = d12dz * (
fh[idx_fh_F_ord2(iF, jF, kF - 2, ex)] -
EIT * fh[idx_fh_F_ord2(iF, jF, kF - 1, ex)] +
EIT * fh[idx_fh_F_ord2(iF, jF, kF + 1, ex)] -
fh[idx_fh_F_ord2(iF, jF, kF + 2, ex)]
);
}
}
}
}
return;
// fx = fy = fz = 0
const size_t all = (size_t)ex1 * (size_t)ex2 * (size_t)ex3;
for (size_t p = 0; p < all; ++p) {
fx[p] = ZEO;
fy[p] = ZEO;
fz[p] = ZEO;
}
#elif (ghost_width == 4)
/* ---- 6th-order ----------------------------------------------------- */
{
const int ord = 3;
int iminF = 1, jminF = 1, kminF = 1;
if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -2;
if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = -2;
if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = -2;
/*
* 两段式:
* 1) 先在二阶可用区域计算二阶模板
* 2) 再在高阶可用区域覆盖为四阶模板
*
* 与原 if/elseif 逻辑等价,但减少逐点分支判断。
*/
const int i2_lo = (iminF > 0) ? iminF : 0;
const int j2_lo = (jminF > 0) ? jminF : 0;
const int k2_lo = (kminF > 0) ? kminF : 0;
const int i2_hi = ex1 - 2;
const int j2_hi = ex2 - 2;
const int k2_hi = ex3 - 2;
const double SoA[3] = { SYM1, SYM2, SYM3 };
const int i4_lo = (iminF + 1 > 0) ? (iminF + 1) : 0;
const int j4_lo = (jminF + 1 > 0) ? (jminF + 1) : 0;
const int k4_lo = (kminF + 1 > 0) ? (kminF + 1) : 0;
const int i4_hi = ex1 - 3;
const int j4_hi = ex2 - 3;
const int k4_hi = ex3 - 3;
const size_t nx = (size_t)ex1 + ord;
const size_t ny = (size_t)ex2 + ord;
const size_t nz = (size_t)ex3 + ord;
const size_t fh_size = nx * ny * nz;
if (i2_lo <= i2_hi && j2_lo <= j2_hi && k2_lo <= k2_hi) {
for (int k0 = k2_lo; k0 <= k2_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j2_lo; j0 <= j2_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i2_lo; i0 <= i2_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
static double *fh_buf = NULL;
static size_t cap = 0;
if (fh_size > cap) {
free(fh_buf);
fh_buf = (double*)aligned_alloc(64, fh_size * sizeof(double));
cap = fh_size;
}
double *fh = fh_buf;
if (!fh) return;
fx[p] = d2dx * (
-fh[idx_fh_F_ord2(iF - 1, jF, kF, ex)] +
fh[idx_fh_F_ord2(iF + 1, jF, kF, ex)]
);
symmetry_bd(ord, ex, f, fh, SoA);
fy[p] = d2dy * (
-fh[idx_fh_F_ord2(iF, jF - 1, kF, ex)] +
fh[idx_fh_F_ord2(iF, jF + 1, kF, ex)]
);
/* Denominators */
const double d60dx = ONE / F60 / dX;
const double d60dy = ONE / F60 / dY;
const double d60dz = ONE / F60 / dZ;
const double d12dx = ONE / F12 / dX;
const double d12dy = ONE / F12 / dY;
const double d12dz = ONE / F12 / dZ;
const double d2dx = ONE / TWO / dX;
const double d2dy = ONE / TWO / dY;
const double d2dz = ONE / TWO / dZ;
const size_t all = (size_t)ex1 * (size_t)ex2 * (size_t)ex3;
for (size_t p = 0; p < all; ++p) {
fx[p] = ZEO; fy[p] = ZEO; fz[p] = ZEO;
}
/* 2nd-order pass: 3pt, widest */
const int i2_lo = (iminF > 0) ? iminF : 0;
const int j2_lo = (jminF > 0) ? jminF : 0;
const int k2_lo = (kminF > 0) ? kminF : 0;
const int i2_hi = ex1 - 2;
const int j2_hi = ex2 - 2;
const int k2_hi = ex3 - 2;
/* 4th-order pass: 5pt */
const int i4_lo = (iminF + 1 > 0) ? (iminF + 1) : 0;
const int j4_lo = (jminF + 1 > 0) ? (jminF + 1) : 0;
const int k4_lo = (kminF + 1 > 0) ? (kminF + 1) : 0;
const int i4_hi = ex1 - 3;
const int j4_hi = ex2 - 3;
const int k4_hi = ex3 - 3;
/* 6th-order pass: 7pt, narrowest interior */
const int i6_lo = (iminF + 2 > 0) ? (iminF + 2) : 0;
const int j6_lo = (jminF + 2 > 0) ? (jminF + 2) : 0;
const int k6_lo = (kminF + 2 > 0) ? (kminF + 2) : 0;
const int i6_hi = ex1 - 4;
const int j6_hi = ex2 - 4;
const int k6_hi = ex3 - 4;
/* 2nd-order */
if (i2_lo <= i2_hi && j2_lo <= j2_hi && k2_lo <= k2_hi) {
for (int k0 = k2_lo; k0 <= k2_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j2_lo; j0 <= j2_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i2_lo; i0 <= i2_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
fx[p] = d2dx * (
-fh[idx_fh_F(iF - 1, jF, kF, ex)] +
fh[idx_fh_F(iF + 1, jF, kF, ex)]);
fy[p] = d2dy * (
-fh[idx_fh_F(iF, jF - 1, kF, ex)] +
fh[idx_fh_F(iF, jF + 1, kF, ex)]);
fz[p] = d2dz * (
-fh[idx_fh_F(iF, jF, kF - 1, ex)] +
fh[idx_fh_F(iF, jF, kF + 1, ex)]);
}
fz[p] = d2dz * (
-fh[idx_fh_F_ord2(iF, jF, kF - 1, ex)] +
fh[idx_fh_F_ord2(iF, jF, kF + 1, ex)]
);
}
}
}
/* 4th-order overwrite */
if (i4_lo <= i4_hi && j4_lo <= j4_hi && k4_lo <= k4_hi) {
for (int k0 = k4_lo; k0 <= k4_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j4_lo; j0 <= j4_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i4_lo; i0 <= i4_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
fx[p] = d12dx * (
fh[idx_fh_F(iF - 2, jF, kF, ex)] -
EIT * fh[idx_fh_F(iF - 1, jF, kF, ex)] +
EIT * fh[idx_fh_F(iF + 1, jF, kF, ex)] -
fh[idx_fh_F(iF + 2, jF, kF, ex)]);
fy[p] = d12dy * (
fh[idx_fh_F(iF, jF - 2, kF, ex)] -
EIT * fh[idx_fh_F(iF, jF - 1, kF, ex)] +
EIT * fh[idx_fh_F(iF, jF + 1, kF, ex)] -
fh[idx_fh_F(iF, jF + 2, kF, ex)]);
fz[p] = d12dz * (
fh[idx_fh_F(iF, jF, kF - 2, ex)] -
EIT * fh[idx_fh_F(iF, jF, kF - 1, ex)] +
EIT * fh[idx_fh_F(iF, jF, kF + 1, ex)] -
fh[idx_fh_F(iF, jF, kF + 2, ex)]);
}
}
}
}
/* 6th-order overwrite: [-1,+9,-45,0,+45,-9,+1] / (60*dx) */
if (i6_lo <= i6_hi && j6_lo <= j6_hi && k6_lo <= k6_hi) {
for (int k0 = k6_lo; k0 <= k6_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j6_lo; j0 <= j6_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i6_lo; i0 <= i6_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
fx[p] = d60dx * (
-fh[idx_fh_F(iF - 3, jF, kF, ex)] +
F9 * fh[idx_fh_F(iF - 2, jF, kF, ex)] -
F45 * fh[idx_fh_F(iF - 1, jF, kF, ex)] +
F45 * fh[idx_fh_F(iF + 1, jF, kF, ex)] -
F9 * fh[idx_fh_F(iF + 2, jF, kF, ex)] +
fh[idx_fh_F(iF + 3, jF, kF, ex)]);
fy[p] = d60dy * (
-fh[idx_fh_F(iF, jF - 3, kF, ex)] +
F9 * fh[idx_fh_F(iF, jF - 2, kF, ex)] -
F45 * fh[idx_fh_F(iF, jF - 1, kF, ex)] +
F45 * fh[idx_fh_F(iF, jF + 1, kF, ex)] -
F9 * fh[idx_fh_F(iF, jF + 2, kF, ex)] +
fh[idx_fh_F(iF, jF + 3, kF, ex)]);
fz[p] = d60dz * (
-fh[idx_fh_F(iF, jF, kF - 3, ex)] +
F9 * fh[idx_fh_F(iF, jF, kF - 2, ex)] -
F45 * fh[idx_fh_F(iF, jF, kF - 1, ex)] +
F45 * fh[idx_fh_F(iF, jF, kF + 1, ex)] -
F9 * fh[idx_fh_F(iF, jF, kF + 2, ex)] +
fh[idx_fh_F(iF, jF, kF + 3, ex)]);
}
}
}
}
return;
}
#elif (ghost_width == 5)
/* ---- 8th-order ----------------------------------------------------- */
{
const int ord = 5;
int iminF = 1, jminF = 1, kminF = 1;
if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -3;
if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = -3;
if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = -3;
if (i4_lo <= i4_hi && j4_lo <= j4_hi && k4_lo <= k4_hi) {
for (int k0 = k4_lo; k0 <= k4_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j4_lo; j0 <= j4_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i4_lo; i0 <= i4_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
const double SoA[3] = { SYM1, SYM2, SYM3 };
fx[p] = d12dx * (
fh[idx_fh_F_ord2(iF - 2, jF, kF, ex)] -
EIT * fh[idx_fh_F_ord2(iF - 1, jF, kF, ex)] +
EIT * fh[idx_fh_F_ord2(iF + 1, jF, kF, ex)] -
fh[idx_fh_F_ord2(iF + 2, jF, kF, ex)]
);
const size_t nx = (size_t)ex1 + ord;
const size_t ny = (size_t)ex2 + ord;
const size_t nz = (size_t)ex3 + ord;
const size_t fh_size = nx * ny * nz;
fy[p] = d12dy * (
fh[idx_fh_F_ord2(iF, jF - 2, kF, ex)] -
EIT * fh[idx_fh_F_ord2(iF, jF - 1, kF, ex)] +
EIT * fh[idx_fh_F_ord2(iF, jF + 1, kF, ex)] -
fh[idx_fh_F_ord2(iF, jF + 2, kF, ex)]
);
static double *fh_buf = NULL;
static size_t cap = 0;
if (fh_size > cap) {
free(fh_buf);
fh_buf = (double*)aligned_alloc(64, fh_size * sizeof(double));
cap = fh_size;
}
double *fh = fh_buf;
if (!fh) return;
symmetry_bd(ord, ex, f, fh, SoA);
const double d840dx = ONE / F840 / dX;
const double d840dy = ONE / F840 / dY;
const double d840dz = ONE / F840 / dZ;
const double d60dx = ONE / F60 / dX;
const double d60dy = ONE / F60 / dY;
const double d60dz = ONE / F60 / dZ;
const double d12dx = ONE / F12 / dX;
const double d12dy = ONE / F12 / dY;
const double d12dz = ONE / F12 / dZ;
const double d2dx = ONE / TWO / dX;
const double d2dy = ONE / TWO / dY;
const double d2dz = ONE / TWO / dZ;
const size_t all = (size_t)ex1 * (size_t)ex2 * (size_t)ex3;
for (size_t p = 0; p < all; ++p) {
fx[p] = ZEO; fy[p] = ZEO; fz[p] = ZEO;
}
/* 2nd: 3pt, widest */
const int i2_lo = (iminF > 0) ? iminF : 0;
const int j2_lo = (jminF > 0) ? jminF : 0;
const int k2_lo = (kminF > 0) ? kminF : 0;
const int i2_hi = ex1 - 2;
const int j2_hi = ex2 - 2;
const int k2_hi = ex3 - 2;
/* 4th: 5pt */
const int i4_lo = (iminF + 1 > 0) ? (iminF + 1) : 0;
const int j4_lo = (jminF + 1 > 0) ? (jminF + 1) : 0;
const int k4_lo = (kminF + 1 > 0) ? (kminF + 1) : 0;
const int i4_hi = ex1 - 3;
const int j4_hi = ex2 - 3;
const int k4_hi = ex3 - 3;
/* 6th: 7pt */
const int i6_lo = (iminF + 2 > 0) ? (iminF + 2) : 0;
const int j6_lo = (jminF + 2 > 0) ? (jminF + 2) : 0;
const int k6_lo = (kminF + 2 > 0) ? (kminF + 2) : 0;
const int i6_hi = ex1 - 4;
const int j6_hi = ex2 - 4;
const int k6_hi = ex3 - 4;
/* 8th: 9pt, narrowest */
const int i8_lo = (iminF + 3 > 0) ? (iminF + 3) : 0;
const int j8_lo = (jminF + 3 > 0) ? (jminF + 3) : 0;
const int k8_lo = (kminF + 3 > 0) ? (kminF + 3) : 0;
const int i8_hi = ex1 - 5;
const int j8_hi = ex2 - 5;
const int k8_hi = ex3 - 5;
if (i2_lo <= i2_hi && j2_lo <= j2_hi && k2_lo <= k2_hi) {
for (int k0 = k2_lo; k0 <= k2_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j2_lo; j0 <= j2_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i2_lo; i0 <= i2_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
fx[p] = d2dx * (
-fh[idx_fh_F_ord5(iF - 1, jF, kF, ex)] +
fh[idx_fh_F_ord5(iF + 1, jF, kF, ex)]);
fy[p] = d2dy * (
-fh[idx_fh_F_ord5(iF, jF - 1, kF, ex)] +
fh[idx_fh_F_ord5(iF, jF + 1, kF, ex)]);
fz[p] = d2dz * (
-fh[idx_fh_F_ord5(iF, jF, kF - 1, ex)] +
fh[idx_fh_F_ord5(iF, jF, kF + 1, ex)]);
}
fz[p] = d12dz * (
fh[idx_fh_F_ord2(iF, jF, kF - 2, ex)] -
EIT * fh[idx_fh_F_ord2(iF, jF, kF - 1, ex)] +
EIT * fh[idx_fh_F_ord2(iF, jF, kF + 1, ex)] -
fh[idx_fh_F_ord2(iF, jF, kF + 2, ex)]
);
}
}
}
if (i4_lo <= i4_hi && j4_lo <= j4_hi && k4_lo <= k4_hi) {
for (int k0 = k4_lo; k0 <= k4_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j4_lo; j0 <= j4_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i4_lo; i0 <= i4_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
fx[p] = d12dx * (
fh[idx_fh_F_ord5(iF - 2, jF, kF, ex)] -
EIT * fh[idx_fh_F_ord5(iF - 1, jF, kF, ex)] +
EIT * fh[idx_fh_F_ord5(iF + 1, jF, kF, ex)] -
fh[idx_fh_F_ord5(iF + 2, jF, kF, ex)]);
fy[p] = d12dy * (
fh[idx_fh_F_ord5(iF, jF - 2, kF, ex)] -
EIT * fh[idx_fh_F_ord5(iF, jF - 1, kF, ex)] +
EIT * fh[idx_fh_F_ord5(iF, jF + 1, kF, ex)] -
fh[idx_fh_F_ord5(iF, jF + 2, kF, ex)]);
fz[p] = d12dz * (
fh[idx_fh_F_ord5(iF, jF, kF - 2, ex)] -
EIT * fh[idx_fh_F_ord5(iF, jF, kF - 1, ex)] +
EIT * fh[idx_fh_F_ord5(iF, jF, kF + 1, ex)] -
fh[idx_fh_F_ord5(iF, jF, kF + 2, ex)]);
}
}
}
}
if (i6_lo <= i6_hi && j6_lo <= j6_hi && k6_lo <= k6_hi) {
for (int k0 = k6_lo; k0 <= k6_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j6_lo; j0 <= j6_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i6_lo; i0 <= i6_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
fx[p] = d60dx * (
-fh[idx_fh_F_ord5(iF - 3, jF, kF, ex)] +
F9 * fh[idx_fh_F_ord5(iF - 2, jF, kF, ex)] -
F45 * fh[idx_fh_F_ord5(iF - 1, jF, kF, ex)] +
F45 * fh[idx_fh_F_ord5(iF + 1, jF, kF, ex)] -
F9 * fh[idx_fh_F_ord5(iF + 2, jF, kF, ex)] +
fh[idx_fh_F_ord5(iF + 3, jF, kF, ex)]);
fy[p] = d60dy * (
-fh[idx_fh_F_ord5(iF, jF - 3, kF, ex)] +
F9 * fh[idx_fh_F_ord5(iF, jF - 2, kF, ex)] -
F45 * fh[idx_fh_F_ord5(iF, jF - 1, kF, ex)] +
F45 * fh[idx_fh_F_ord5(iF, jF + 1, kF, ex)] -
F9 * fh[idx_fh_F_ord5(iF, jF + 2, kF, ex)] +
fh[idx_fh_F_ord5(iF, jF + 3, kF, ex)]);
fz[p] = d60dz * (
-fh[idx_fh_F_ord5(iF, jF, kF - 3, ex)] +
F9 * fh[idx_fh_F_ord5(iF, jF, kF - 2, ex)] -
F45 * fh[idx_fh_F_ord5(iF, jF, kF - 1, ex)] +
F45 * fh[idx_fh_F_ord5(iF, jF, kF + 1, ex)] -
F9 * fh[idx_fh_F_ord5(iF, jF, kF + 2, ex)] +
fh[idx_fh_F_ord5(iF, jF, kF + 3, ex)]);
}
}
}
}
/* 8th-order overwrite: [+3,-32,+168,-672,0,+672,-168,+32,-3] / (840*dx) */
if (i8_lo <= i8_hi && j8_lo <= j8_hi && k8_lo <= k8_hi) {
for (int k0 = k8_lo; k0 <= k8_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j8_lo; j0 <= j8_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i8_lo; i0 <= i8_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
fx[p] = d840dx * (
+(double)3 * fh[idx_fh_F_ord5(iF - 4, jF, kF, ex)] -
F32 * fh[idx_fh_F_ord5(iF - 3, jF, kF, ex)] +
F168 * fh[idx_fh_F_ord5(iF - 2, jF, kF, ex)] -
F672 * fh[idx_fh_F_ord5(iF - 1, jF, kF, ex)] +
F672 * fh[idx_fh_F_ord5(iF + 1, jF, kF, ex)] -
F168 * fh[idx_fh_F_ord5(iF + 2, jF, kF, ex)] +
F32 * fh[idx_fh_F_ord5(iF + 3, jF, kF, ex)] -
(double)3 * fh[idx_fh_F_ord5(iF + 4, jF, kF, ex)]);
fy[p] = d840dy * (
+(double)3 * fh[idx_fh_F_ord5(iF, jF - 4, kF, ex)] -
F32 * fh[idx_fh_F_ord5(iF, jF - 3, kF, ex)] +
F168 * fh[idx_fh_F_ord5(iF, jF - 2, kF, ex)] -
F672 * fh[idx_fh_F_ord5(iF, jF - 1, kF, ex)] +
F672 * fh[idx_fh_F_ord5(iF, jF + 1, kF, ex)] -
F168 * fh[idx_fh_F_ord5(iF, jF + 2, kF, ex)] +
F32 * fh[idx_fh_F_ord5(iF, jF + 3, kF, ex)] -
(double)3 * fh[idx_fh_F_ord5(iF, jF + 4, kF, ex)]);
fz[p] = d840dz * (
+(double)3 * fh[idx_fh_F_ord5(iF, jF, kF - 4, ex)] -
F32 * fh[idx_fh_F_ord5(iF, jF, kF - 3, ex)] +
F168 * fh[idx_fh_F_ord5(iF, jF, kF - 2, ex)] -
F672 * fh[idx_fh_F_ord5(iF, jF, kF - 1, ex)] +
F672 * fh[idx_fh_F_ord5(iF, jF, kF + 1, ex)] -
F168 * fh[idx_fh_F_ord5(iF, jF, kF + 2, ex)] +
F32 * fh[idx_fh_F_ord5(iF, jF, kF + 3, ex)] -
(double)3 * fh[idx_fh_F_ord5(iF, jF, kF + 4, ex)]);
}
}
}
}
return;
}
#else
#error "fderivs_c.C: unsupported ghost_width (must be 2, 3, 4, or 5)"
#endif
// free(fh);
}

View File

@@ -1,234 +0,0 @@
#include "macrodef.h"
#include "share_func.h"
/*
* C 版 fderivs_sh — first derivatives on shell patch in (rho, sigma, R) coords.
*
* Same stencil coefficients as Cartesian fderivs, but:
* - Uses symmetry_stbd (ghost on BOTH sides of x/y, none in z)
* - fh buffer: (-ord+1:ex+ord) in x/y, (1:ex) in z
* - SoA is 2-element only (x/y), no z-symmetry
* - sst parameter (shell surface type, not used in stencil computation)
*/
extern "C" void fderivs_sh_(const int ex[3],
const double *f,
double *fx, double *fy, double *fz,
const double *X, const double *Y, const double *Z,
double SYM1, double SYM2, double SYM3,
int Symmetry, int onoff, int sst)
{
(void)SYM3; (void)onoff; (void)sst;
const double ZEO = 0.0, ONE = 1.0, TWO = 2.0, EIT = 8.0;
const double F9 = 9.0, F12 = 12.0, F45 = 45.0, F60 = 60.0;
const double F32 = 32.0, F168 = 168.0, F672 = 672.0, F840 = 840.0;
const int NO_SYMM = 0, EQ_SYMM = 1, OCTANT = 2;
const int ex1 = ex[0], ex2 = ex[1], ex3 = ex[2];
const double dX = X[1] - X[0];
const double dY = Y[1] - Y[0];
const double dZ = Z[1] - Z[0];
const int imaxF = ex1, jmaxF = ex2, kmaxF = ex3;
const double SoA[2] = { SYM1, SYM2 };
#if (ghost_width == 2)
{
const int ord = 1;
int iminF = 1, jminF = 1, kminF = 1;
if (Symmetry == OCTANT && fabs(X[0]) < dX) iminF = 0;
if (Symmetry == OCTANT && fabs(Y[0]) < dY) jminF = 0;
if ((sst==2||sst==4) && fabs(Y[0]) < dY) jminF = 0; // EQ reflection
const size_t nx = (size_t)ex1 + 2 * ord;
const size_t ny = (size_t)ex2 + 2 * ord;
const size_t nz = (size_t)ex3;
const size_t fh_size = nx * ny * nz;
static double *fh_buf = NULL; static size_t cap = 0;
if (fh_size > cap) { free(fh_buf); fh_buf = (double*)aligned_alloc(64, fh_size*sizeof(double)); cap = fh_size; }
double *fh = fh_buf; if (!fh) return;
symmetry_stbd(ord, ex, f, fh, SoA);
const double d2dx = ONE/TWO/dX, d2dy = ONE/TWO/dY, d2dz = ONE/TWO/dZ;
const size_t all = (size_t)ex1*ex2*ex3;
for (size_t p=0;p<all;++p) { fx[p]=ZEO; fy[p]=ZEO; fz[p]=ZEO; }
const int i2_lo=(iminF>0)?iminF:0, j2_lo=(jminF>0)?jminF:0, k2_lo=1;
const int i2_hi=ex1-2, j2_hi=ex2-2, k2_hi=ex3-2;
if (i2_lo<=i2_hi&&j2_lo<=j2_hi&&k2_lo<=k2_hi) {
for (int k0=k2_lo;k0<=k2_hi;++k0) { const int kF=k0+1;
for (int j0=j2_lo;j0<=j2_hi;++j0) { const int jF=j0+1;
for (int i0=i2_lo;i0<=i2_hi;++i0) { const int iF=i0+1;
const size_t p=idx_ex(i0,j0,k0,ex);
fx[p]=d2dx*(-fh[idx_fh_stbd(iF-1,jF,kF,ord,ex)]+fh[idx_fh_stbd(iF+1,jF,kF,ord,ex)]);
fy[p]=d2dy*(-fh[idx_fh_stbd(iF,jF-1,kF,ord,ex)]+fh[idx_fh_stbd(iF,jF+1,kF,ord,ex)]);
fz[p]=d2dz*(-fh[idx_fh_stbd(iF,jF,kF-1,ord,ex)]+fh[idx_fh_stbd(iF,jF,kF+1,ord,ex)]);
}}}
}
return;
}
#elif (ghost_width == 3)
{
const int ord = 2;
int iminF = 1, jminF = 1, kminF = 1;
if (Symmetry == OCTANT && fabs(X[0]) < dX) iminF = -1;
if (Symmetry == OCTANT && fabs(Y[0]) < dY) jminF = -1;
if ((sst==2||sst==4) && fabs(Y[0]) < dY) jminF = -1;
const size_t nx=(size_t)ex1+2*ord, ny=(size_t)ex2+2*ord, nz=(size_t)ex3;
const size_t fh_size=nx*ny*nz;
static double *fh_buf=NULL; static size_t cap=0;
if (fh_size>cap){free(fh_buf);fh_buf=(double*)aligned_alloc(64,fh_size*sizeof(double));cap=fh_size;}
double *fh=fh_buf; if(!fh)return;
symmetry_stbd(ord,ex,f,fh,SoA);
const double d12dx=ONE/F12/dX, d12dy=ONE/F12/dY, d12dz=ONE/F12/dZ;
const double d2dx=ONE/TWO/dX, d2dy=ONE/TWO/dY, d2dz=ONE/TWO/dZ;
const size_t all=(size_t)ex1*ex2*ex3;
for(size_t p=0;p<all;++p){fx[p]=ZEO;fy[p]=ZEO;fz[p]=ZEO;}
const int i2_lo=(iminF>0)?iminF:0, j2_lo=(jminF>0)?jminF:0, k2_lo=1;
const int i2_hi=ex1-2, j2_hi=ex2-2, k2_hi=ex3-2;
const int i4_lo=(iminF+1>0)?iminF+1:0, j4_lo=(jminF+1>0)?jminF+1:0, k4_lo=2;
const int i4_hi=ex1-3, j4_hi=ex2-3, k4_hi=ex3-3;
if (i2_lo<=i2_hi&&j2_lo<=j2_hi&&k2_lo<=k2_hi) {
for(int k0=k2_lo;k0<=k2_hi;++k0){const int kF=k0+1;
for(int j0=j2_lo;j0<=j2_hi;++j0){const int jF=j0+1;
for(int i0=i2_lo;i0<=i2_hi;++i0){const int iF=i0+1;
const size_t p=idx_ex(i0,j0,k0,ex);
fx[p]=d2dx*(-fh[idx_fh_stbd(iF-1,jF,kF,ord,ex)]+fh[idx_fh_stbd(iF+1,jF,kF,ord,ex)]);
fy[p]=d2dy*(-fh[idx_fh_stbd(iF,jF-1,kF,ord,ex)]+fh[idx_fh_stbd(iF,jF+1,kF,ord,ex)]);
fz[p]=d2dz*(-fh[idx_fh_stbd(iF,jF,kF-1,ord,ex)]+fh[idx_fh_stbd(iF,jF,kF+1,ord,ex)]);
}}}
}
if (i4_lo<=i4_hi&&j4_lo<=j4_hi&&k4_lo<=k4_hi) {
for(int k0=k4_lo;k0<=k4_hi;++k0){const int kF=k0+1;
for(int j0=j4_lo;j0<=j4_hi;++j0){const int jF=j0+1;
for(int i0=i4_lo;i0<=i4_hi;++i0){const int iF=i0+1;
const size_t p=idx_ex(i0,j0,k0,ex);
fx[p]=d12dx*(fh[idx_fh_stbd(iF-2,jF,kF,ord,ex)]-EIT*fh[idx_fh_stbd(iF-1,jF,kF,ord,ex)]+EIT*fh[idx_fh_stbd(iF+1,jF,kF,ord,ex)]-fh[idx_fh_stbd(iF+2,jF,kF,ord,ex)]);
fy[p]=d12dy*(fh[idx_fh_stbd(iF,jF-2,kF,ord,ex)]-EIT*fh[idx_fh_stbd(iF,jF-1,kF,ord,ex)]+EIT*fh[idx_fh_stbd(iF,jF+1,kF,ord,ex)]-fh[idx_fh_stbd(iF,jF+2,kF,ord,ex)]);
fz[p]=d12dz*(fh[idx_fh_stbd(iF,jF,kF-2,ord,ex)]-EIT*fh[idx_fh_stbd(iF,jF,kF-1,ord,ex)]+EIT*fh[idx_fh_stbd(iF,jF,kF+1,ord,ex)]-fh[idx_fh_stbd(iF,jF,kF+2,ord,ex)]);
}}}
}
return;
}
#elif (ghost_width == 4)
{
const int ord = 3;
int iminF=1,jminF=1,kminF=1;
if(Symmetry==OCTANT&&fabs(X[0])<dX)iminF=-2;
if(Symmetry==OCTANT&&fabs(Y[0])<dY)jminF=-2;
if((sst==2||sst==4)&&fabs(Y[0])<dY)jminF=-2;
const size_t nx=(size_t)ex1+2*ord,ny=(size_t)ex2+2*ord,nz=(size_t)ex3;
const size_t fh_size=nx*ny*nz;
static double *fh_buf=NULL;static size_t cap=0;
if(fh_size>cap){free(fh_buf);fh_buf=(double*)aligned_alloc(64,fh_size*sizeof(double));cap=fh_size;}
double *fh=fh_buf;if(!fh)return;
symmetry_stbd(ord,ex,f,fh,SoA);
const double d60dx=ONE/F60/dX,d60dy=ONE/F60/dY,d60dz=ONE/F60/dZ;
const double d12dx=ONE/F12/dX,d12dy=ONE/F12/dY,d12dz=ONE/F12/dZ;
const double d2dx=ONE/TWO/dX,d2dy=ONE/TWO/dY,d2dz=ONE/TWO/dZ;
const size_t all=(size_t)ex1*ex2*ex3;
for(size_t p=0;p<all;++p){fx[p]=ZEO;fy[p]=ZEO;fz[p]=ZEO;}
const int i2_lo=(iminF>0)?iminF:0,j2_lo=(jminF>0)?jminF:0,k2_lo=1,i2_hi=ex1-2,j2_hi=ex2-2,k2_hi=ex3-2;
const int i4_lo=(iminF+1>0)?iminF+1:0,j4_lo=(jminF+1>0)?jminF+1:0,k4_lo=2,i4_hi=ex1-3,j4_hi=ex2-3,k4_hi=ex3-3;
const int i6_lo=(iminF+2>0)?iminF+2:0,j6_lo=(jminF+2>0)?jminF+2:0,k6_lo=3,i6_hi=ex1-4,j6_hi=ex2-4,k6_hi=ex3-4;
if(i2_lo<=i2_hi&&j2_lo<=j2_hi&&k2_lo<=k2_hi){
for(int k0=k2_lo;k0<=k2_hi;++k0){const int kF=k0+1;
for(int j0=j2_lo;j0<=j2_hi;++j0){const int jF=j0+1;
for(int i0=i2_lo;i0<=i2_hi;++i0){const int iF=i0+1;
const size_t p=idx_ex(i0,j0,k0,ex);
fx[p]=d2dx*(-fh[idx_fh_stbd(iF-1,jF,kF,ord,ex)]+fh[idx_fh_stbd(iF+1,jF,kF,ord,ex)]);
fy[p]=d2dy*(-fh[idx_fh_stbd(iF,jF-1,kF,ord,ex)]+fh[idx_fh_stbd(iF,jF+1,kF,ord,ex)]);
fz[p]=d2dz*(-fh[idx_fh_stbd(iF,jF,kF-1,ord,ex)]+fh[idx_fh_stbd(iF,jF,kF+1,ord,ex)]);
}}}
}
if(i4_lo<=i4_hi&&j4_lo<=j4_hi&&k4_lo<=k4_hi){
for(int k0=k4_lo;k0<=k4_hi;++k0){const int kF=k0+1;
for(int j0=j4_lo;j0<=j4_hi;++j0){const int jF=j0+1;
for(int i0=i4_lo;i0<=i4_hi;++i0){const int iF=i0+1;
const size_t p=idx_ex(i0,j0,k0,ex);
fx[p]=d12dx*(fh[idx_fh_stbd(iF-2,jF,kF,ord,ex)]-EIT*fh[idx_fh_stbd(iF-1,jF,kF,ord,ex)]+EIT*fh[idx_fh_stbd(iF+1,jF,kF,ord,ex)]-fh[idx_fh_stbd(iF+2,jF,kF,ord,ex)]);
fy[p]=d12dy*(fh[idx_fh_stbd(iF,jF-2,kF,ord,ex)]-EIT*fh[idx_fh_stbd(iF,jF-1,kF,ord,ex)]+EIT*fh[idx_fh_stbd(iF,jF+1,kF,ord,ex)]-fh[idx_fh_stbd(iF,jF+2,kF,ord,ex)]);
fz[p]=d12dz*(fh[idx_fh_stbd(iF,jF,kF-2,ord,ex)]-EIT*fh[idx_fh_stbd(iF,jF,kF-1,ord,ex)]+EIT*fh[idx_fh_stbd(iF,jF,kF+1,ord,ex)]-fh[idx_fh_stbd(iF,jF,kF+2,ord,ex)]);
}}}
}
if(i6_lo<=i6_hi&&j6_lo<=j6_hi&&k6_lo<=k6_hi){
for(int k0=k6_lo;k0<=k6_hi;++k0){const int kF=k0+1;
for(int j0=j6_lo;j0<=j6_hi;++j0){const int jF=j0+1;
for(int i0=i6_lo;i0<=i6_hi;++i0){const int iF=i0+1;
const size_t p=idx_ex(i0,j0,k0,ex);
fx[p]=d60dx*(-fh[idx_fh_stbd(iF-3,jF,kF,ord,ex)]+F9*fh[idx_fh_stbd(iF-2,jF,kF,ord,ex)]-F45*fh[idx_fh_stbd(iF-1,jF,kF,ord,ex)]+F45*fh[idx_fh_stbd(iF+1,jF,kF,ord,ex)]-F9*fh[idx_fh_stbd(iF+2,jF,kF,ord,ex)]+fh[idx_fh_stbd(iF+3,jF,kF,ord,ex)]);
fy[p]=d60dy*(-fh[idx_fh_stbd(iF,jF-3,kF,ord,ex)]+F9*fh[idx_fh_stbd(iF,jF-2,kF,ord,ex)]-F45*fh[idx_fh_stbd(iF,jF-1,kF,ord,ex)]+F45*fh[idx_fh_stbd(iF,jF+1,kF,ord,ex)]-F9*fh[idx_fh_stbd(iF,jF+2,kF,ord,ex)]+fh[idx_fh_stbd(iF,jF+3,kF,ord,ex)]);
fz[p]=d60dz*(-fh[idx_fh_stbd(iF,jF,kF-3,ord,ex)]+F9*fh[idx_fh_stbd(iF,jF,kF-2,ord,ex)]-F45*fh[idx_fh_stbd(iF,jF,kF-1,ord,ex)]+F45*fh[idx_fh_stbd(iF,jF,kF+1,ord,ex)]-F9*fh[idx_fh_stbd(iF,jF,kF+2,ord,ex)]+fh[idx_fh_stbd(iF,jF,kF+3,ord,ex)]);
}}}
}
return;
}
#elif (ghost_width == 5)
{
const int ord = 4;
int iminF=1,jminF=1,kminF=1;
if(Symmetry==OCTANT&&fabs(X[0])<dX)iminF=-3;
if(Symmetry==OCTANT&&fabs(Y[0])<dY)jminF=-3;
if((sst==2||sst==4)&&fabs(Y[0])<dY)jminF=-3;
const size_t nx=(size_t)ex1+2*ord,ny=(size_t)ex2+2*ord,nz=(size_t)ex3;
const size_t fh_size=nx*ny*nz;
static double *fh_buf=NULL;static size_t cap=0;
if(fh_size>cap){free(fh_buf);fh_buf=(double*)aligned_alloc(64,fh_size*sizeof(double));cap=fh_size;}
double *fh=fh_buf;if(!fh)return;
symmetry_stbd(ord,ex,f,fh,SoA);
const double d840dx=ONE/F840/dX,d840dy=ONE/F840/dY,d840dz=ONE/F840/dZ;
const double d60dx=ONE/F60/dX,d60dy=ONE/F60/dY,d60dz=ONE/F60/dZ;
const double d12dx=ONE/F12/dX,d12dy=ONE/F12/dY,d12dz=ONE/F12/dZ;
const double d2dx=ONE/TWO/dX,d2dy=ONE/TWO/dY,d2dz=ONE/TWO/dZ;
const size_t all=(size_t)ex1*ex2*ex3;
for(size_t p=0;p<all;++p){fx[p]=ZEO;fy[p]=ZEO;fz[p]=ZEO;}
const int i2_lo=(iminF>0)?iminF:0,j2_lo=(jminF>0)?jminF:0,k2_lo=1,i2_hi=ex1-2,j2_hi=ex2-2,k2_hi=ex3-2;
const int i4_lo=(iminF+1>0)?iminF+1:0,j4_lo=(jminF+1>0)?jminF+1:0,k4_lo=2,i4_hi=ex1-3,j4_hi=ex2-3,k4_hi=ex3-3;
const int i6_lo=(iminF+2>0)?iminF+2:0,j6_lo=(jminF+2>0)?jminF+2:0,k6_lo=3,i6_hi=ex1-4,j6_hi=ex2-4,k6_hi=ex3-4;
const int i8_lo=(iminF+3>0)?iminF+3:0,j8_lo=(jminF+3>0)?jminF+3:0,k8_lo=4,i8_hi=ex1-5,j8_hi=ex2-5,k8_hi=ex3-5;
#define FH_S(iF,jF,kF) fh[idx_fh_stbd(iF,jF,kF,ord,ex)]
if(i2_lo<=i2_hi&&j2_lo<=j2_hi&&k2_lo<=k2_hi){for(int k0=k2_lo;k0<=k2_hi;++k0){const int kF=k0+1;
for(int j0=j2_lo;j0<=j2_hi;++j0){const int jF=j0+1;
for(int i0=i2_lo;i0<=i2_hi;++i0){const int iF=i0+1;const size_t p=idx_ex(i0,j0,k0,ex);
fx[p]=d2dx*(-FH_S(iF-1,jF,kF)+FH_S(iF+1,jF,kF));
fy[p]=d2dy*(-FH_S(iF,jF-1,kF)+FH_S(iF,jF+1,kF));
fz[p]=d2dz*(-FH_S(iF,jF,kF-1)+FH_S(iF,jF,kF+1));}}}}
if(i4_lo<=i4_hi&&j4_lo<=j4_hi&&k4_lo<=k4_hi){for(int k0=k4_lo;k0<=k4_hi;++k0){const int kF=k0+1;
for(int j0=j4_lo;j0<=j4_hi;++j0){const int jF=j0+1;
for(int i0=i4_lo;i0<=i4_hi;++i0){const int iF=i0+1;const size_t p=idx_ex(i0,j0,k0,ex);
fx[p]=d12dx*(FH_S(iF-2,jF,kF)-EIT*FH_S(iF-1,jF,kF)+EIT*FH_S(iF+1,jF,kF)-FH_S(iF+2,jF,kF));
fy[p]=d12dy*(FH_S(iF,jF-2,kF)-EIT*FH_S(iF,jF-1,kF)+EIT*FH_S(iF,jF+1,kF)-FH_S(iF,jF+2,kF));
fz[p]=d12dz*(FH_S(iF,jF,kF-2)-EIT*FH_S(iF,jF,kF-1)+EIT*FH_S(iF,jF,kF+1)-FH_S(iF,jF,kF+2));}}}}
if(i6_lo<=i6_hi&&j6_lo<=j6_hi&&k6_lo<=k6_hi){for(int k0=k6_lo;k0<=k6_hi;++k0){const int kF=k0+1;
for(int j0=j6_lo;j0<=j6_hi;++j0){const int jF=j0+1;
for(int i0=i6_lo;i0<=i6_hi;++i0){const int iF=i0+1;const size_t p=idx_ex(i0,j0,k0,ex);
fx[p]=d60dx*(-FH_S(iF-3,jF,kF)+F9*FH_S(iF-2,jF,kF)-F45*FH_S(iF-1,jF,kF)+F45*FH_S(iF+1,jF,kF)-F9*FH_S(iF+2,jF,kF)+FH_S(iF+3,jF,kF));
fy[p]=d60dy*(-FH_S(iF,jF-3,kF)+F9*FH_S(iF,jF-2,kF)-F45*FH_S(iF,jF-1,kF)+F45*FH_S(iF,jF+1,kF)-F9*FH_S(iF,jF+2,kF)+FH_S(iF,jF+3,kF));
fz[p]=d60dz*(-FH_S(iF,jF,kF-3)+F9*FH_S(iF,jF,kF-2)-F45*FH_S(iF,jF,kF-1)+F45*FH_S(iF,jF,kF+1)-F9*FH_S(iF,jF,kF+2)+FH_S(iF,jF,kF+3));}}}}
if(i8_lo<=i8_hi&&j8_lo<=j8_hi&&k8_lo<=k8_hi){for(int k0=k8_lo;k0<=k8_hi;++k0){const int kF=k0+1;
for(int j0=j8_lo;j0<=j8_hi;++j0){const int jF=j0+1;
for(int i0=i8_lo;i0<=i8_hi;++i0){const int iF=i0+1;const size_t p=idx_ex(i0,j0,k0,ex);
fx[p]=d840dx*(+(double)3*FH_S(iF-4,jF,kF)-F32*FH_S(iF-3,jF,kF)+F168*FH_S(iF-2,jF,kF)-F672*FH_S(iF-1,jF,kF)+F672*FH_S(iF+1,jF,kF)-F168*FH_S(iF+2,jF,kF)+F32*FH_S(iF+3,jF,kF)-(double)3*FH_S(iF+4,jF,kF));
fy[p]=d840dy*(+(double)3*FH_S(iF,jF-4,kF)-F32*FH_S(iF,jF-3,kF)+F168*FH_S(iF,jF-2,kF)-F672*FH_S(iF,jF-1,kF)+F672*FH_S(iF,jF+1,kF)-F168*FH_S(iF,jF+2,kF)+F32*FH_S(iF,jF+3,kF)-(double)3*FH_S(iF,jF+4,kF));
fz[p]=d840dz*(+(double)3*FH_S(iF,jF,kF-4)-F32*FH_S(iF,jF,kF-3)+F168*FH_S(iF,jF,kF-2)-F672*FH_S(iF,jF,kF-1)+F672*FH_S(iF,jF,kF+1)-F168*FH_S(iF,jF,kF+2)+F32*FH_S(iF,jF,kF+3)-(double)3*FH_S(iF,jF,kF+4));}}}}
#undef FH_S
return;
}
#else
#error "fderivs_sh_c.C: unsupported ghost_width"
#endif
}

View File

@@ -1,54 +0,0 @@
#include "macrodef.h"
#include "share_func.h"
#include <cstddef>
/*
* fderivs_shc — shell first derivatives converted to Cartesian via chain rule.
*
* Calls fderivs_sh internally, then:
* fx = drhodx * df/drho + dsigmadx * df/dsigma + dRdx * df/dR
* fy = drhody * df/drho + dsigmady * df/dsigma + dRdy * df/dR
* fz = drhodz * df/drho + dsigmadz * df/dsigma + dRdz * df/dR
*/
// Forward declaration (defined in fderivs_sh_c.C with extern "C" name fderivs_sh_)
extern "C" {
void fderivs_sh_(const int ex[3], const double *f,
double *fx, double *fy, double *fz,
const double *X, const double *Y, const double *Z,
double SYM1, double SYM2, double SYM3,
int Symmetry, int onoff, int sst);
void fderivs_shc_(int *ex,
double *f,
double *fx, double *fy, double *fz,
double *crho, double *sigma, double *R,
double &SYM1, double &SYM2, double &SYM3,
int &Symmetry, int &Lev, int &sst,
double *drhodx, double *drhody, double *drhodz,
double *dsigmadx, double *dsigmady, double *dsigmadz,
double *dRdx, double *dRdy, double *dRdz)
{
const int ex3[3] = { ex[0], ex[1], ex[2] };
const size_t n = (size_t)ex[0] * (size_t)ex[1] * (size_t)ex[2];
// Temporary shell-coordinate derivatives
double *gx = (double*)malloc(n * sizeof(double));
double *gy = (double*)malloc(n * sizeof(double));
double *gz = (double*)malloc(n * sizeof(double));
if (!gx || !gy || !gz) { free(gx); free(gy); free(gz); return; }
// Compute shell-coordinate derivatives
fderivs_sh_(ex3, f, gx, gy, gz, crho, sigma, R, SYM1, SYM2, SYM3, Symmetry, Lev, sst);
// Chain rule to Cartesian
for (size_t i = 0; i < n; ++i) {
fx[i] = drhodx[i] * gx[i] + dsigmadx[i] * gy[i] + dRdx[i] * gz[i];
fy[i] = drhody[i] * gx[i] + dsigmady[i] * gy[i] + dRdy[i] * gz[i];
fz[i] = drhodz[i] * gx[i] + dsigmadz[i] * gy[i] + dRdz[i] * gz[i];
}
free(gx); free(gy); free(gz);
}
} // extern "C"

View File

@@ -1,16 +1,16 @@
#include "macrodef.h"
#include "tool.h"
/*
* C 版 kodis — Kreiss-Oliger numerical dissipation (Cartesian patches).
* C 版 kodis
*
* The KO operator is (D₊D₋)^r applied to f_rhs with alternating sign (-1)^(r-1).
* Fortran signature:
* subroutine kodis(ex,X,Y,Z,f,f_rhs,SoA,Symmetry,eps)
*
* FD order → r → cof=2^(2r) mapping:
* ghost_width=2 (2nd) → r=2, cof=16, sign=-
* ghost_width=3 (4th) → r=3, cof=64, sign=+
* ghost_width=4 (6th) → r=4, cof=256, sign=-
* ghost_width=5 (8th) → r=5, cof=1024,sign=+
* 约定:
* X: ex1, Y: ex2, Z: ex3
* f, f_rhs: ex1*ex2*ex3 按 idx_ex 布局
* SoA[3]
* eps: double
*/
void kodis(const int ex[3],
const double *X, const double *Y, const double *Z,
@@ -18,304 +18,100 @@ void kodis(const int ex[3],
const double SoA[3],
int Symmetry, double eps)
{
const double ZEO = 0.0;
const double ONE = 1.0, SIX = 6.0, FIT = 15.0, TWT = 20.0;
const double cof = 64.0; // 2^6
const int NO_SYMM = 0, OCTANT = 2;
const int ex1 = ex[0], ex2 = ex[1], ex3 = ex[2];
// Fortran: dX = X(2)-X(1) -> C: X[1]-X[0]
const double dX = X[1] - X[0];
const double dY = Y[1] - Y[0];
const double dZ = Z[1] - Z[0];
(void)ONE; // ONE 在原 Fortran 里只是参数,这里不一定用得上
const int imaxF = ex1, jmaxF = ex2, kmaxF = ex3;
// Fortran: imax=ex(1) 等是 1-based 上界
const int imaxF = ex1;
const int jmaxF = ex2;
const int kmaxF = ex3;
#if (ghost_width == 2)
/* ---- r=2, cof=16, sign=-, 5pt stencil ----------------------------- */
{
const int ord = 2;
const int r = 2;
const double cof = 16.0;
const double F4 = 4.0, F6 = 6.0;
const int NO_SYMM = 0, EQ_SYMM = 1;
// Fortran: imin=jmin=kmin=1某些对称情况变 -2
int iminF = 1, jminF = 1, kminF = 1;
int iminF = 1, jminF = 1, kminF = 1;
if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -1;
if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = -1;
if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = -1;
if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -2;
if (Symmetry == OCTANT && fabs(X[0]) < dX) iminF = -2;
if (Symmetry == OCTANT && fabs(Y[0]) < dY) jminF = -2;
const size_t nx = (size_t)ex1 + ord;
const size_t ny = (size_t)ex2 + ord;
const size_t nz = (size_t)ex3 + ord;
const size_t fh_size = nx * ny * nz;
// 分配 fh大小 (ex1+3)*(ex2+3)*(ex3+3),对应 ord=3
const size_t nx = (size_t)ex1 + 3;
const size_t ny = (size_t)ex2 + 3;
const size_t nz = (size_t)ex3 + 3;
const size_t fh_size = nx * ny * nz;
double *fh = (double*)malloc(fh_size * sizeof(double));
if (!fh) return;
double *fh = (double*)malloc(fh_size * sizeof(double));
if (!fh) return;
symmetry_bd(ord, ex, f, fh, SoA);
// Fortran: call symmetry_bd(3,ex,f,fh,SoA)
symmetry_bd(3, ex, f, fh, SoA);
/* i±2 must be valid: i-2 >= iminF && i+2 <= imaxF
C 0-based: i0 >= iminF+1, i0 <= ex1-3 */
const int i0_lo = (iminF + 1 > 0) ? (iminF + 1) : 0;
const int j0_lo = (jminF + 1 > 0) ? (jminF + 1) : 0;
const int k0_lo = (kminF + 1 > 0) ? (kminF + 1) : 0;
const int i0_hi = imaxF - 3;
const int j0_hi = jmaxF - 3;
const int k0_hi = kmaxF - 3;
/*
* Fortran loops:
* do k=1,ex3
* do j=1,ex2
* do i=1,ex1
*
* C: k0=0..ex3-1, j0=0..ex2-1, i0=0..ex1-1
* 并定义 Fortran index: iF=i0+1, ...
*/
// 收紧循环范围:只遍历满足 iF±3/jF±3/kF±3 条件的内部点
// iF-3 >= iminF => iF >= iminF+3 => i0 >= iminF+2 (因为 iF=i0+1)
// iF+3 <= imaxF => iF <= imaxF-3 => i0 <= imaxF-4
const int i0_lo = (iminF + 2 > 0) ? iminF + 2 : 0;
const int j0_lo = (jminF + 2 > 0) ? jminF + 2 : 0;
const int k0_lo = (kminF + 2 > 0) ? kminF + 2 : 0;
const int i0_hi = imaxF - 4; // inclusive
const int j0_hi = jmaxF - 4;
const int k0_hi = kmaxF - 4;
if (!(i0_lo > i0_hi || j0_lo > j0_hi || k0_lo > k0_hi)) {
for (int k0 = k0_lo; k0 <= k0_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j0_lo; j0 <= j0_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i0_lo; i0 <= i0_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
const double Dx = (
(fh[idx_fh_F_ord2(iF - 2, jF, kF, ex)] + fh[idx_fh_F_ord2(iF + 2, jF, kF, ex)]) -
F4 * (fh[idx_fh_F_ord2(iF - 1, jF, kF, ex)] + fh[idx_fh_F_ord2(iF + 1, jF, kF, ex)]) +
F6 * fh[idx_fh_F_ord2(iF, jF, kF, ex)]
) / dX;
const double Dy = (
(fh[idx_fh_F_ord2(iF, jF - 2, kF, ex)] + fh[idx_fh_F_ord2(iF, jF + 2, kF, ex)]) -
F4 * (fh[idx_fh_F_ord2(iF, jF - 1, kF, ex)] + fh[idx_fh_F_ord2(iF, jF + 1, kF, ex)]) +
F6 * fh[idx_fh_F_ord2(iF, jF, kF, ex)]
) / dY;
const double Dz = (
(fh[idx_fh_F_ord2(iF, jF, kF - 2, ex)] + fh[idx_fh_F_ord2(iF, jF, kF + 2, ex)]) -
F4 * (fh[idx_fh_F_ord2(iF, jF, kF - 1, ex)] + fh[idx_fh_F_ord2(iF, jF, kF + 1, ex)]) +
F6 * fh[idx_fh_F_ord2(iF, jF, kF, ex)]
) / dZ;
f_rhs[p] -= (eps / cof) * (Dx + Dy + Dz); /* sign=- */
}
}
}
}
if (i0_lo > i0_hi || j0_lo > j0_hi || k0_lo > k0_hi) {
free(fh);
return;
}
#elif (ghost_width == 3)
/* ---- r=3, cof=64, sign=+, 7pt stencil (current default) ---------- */
{
const int ord = 3;
const int r = 3;
const double cof = 64.0;
const double SIX = 6.0, FIT = 15.0, TWT = 20.0;
const int NO_SYMM = 0, OCTANT = 2;
int iminF = 1, jminF = 1, kminF = 1;
if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -2;
if (Symmetry == OCTANT && fabs(X[0]) < dX) iminF = -2;
if (Symmetry == OCTANT && fabs(Y[0]) < dY) jminF = -2;
for (int k0 = k0_lo; k0 <= k0_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j0_lo; j0 <= j0_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i0_lo; i0 <= i0_hi; ++i0) {
const int iF = i0 + 1;
const size_t nx = (size_t)ex1 + ord;
const size_t ny = (size_t)ex2 + ord;
const size_t nz = (size_t)ex3 + ord;
const size_t fh_size = nx * ny * nz;
const size_t p = idx_ex(i0, j0, k0, ex);
double *fh = (double*)malloc(fh_size * sizeof(double));
if (!fh) return;
// 三个方向各一份同型的 7 点组合(实际上是对称的 6th-order dissipation/filter 核)
const double Dx_term =
( (fh[idx_fh_F(iF - 3, jF, kF, ex)] + fh[idx_fh_F(iF + 3, jF, kF, ex)]) -
SIX * (fh[idx_fh_F(iF - 2, jF, kF, ex)] + fh[idx_fh_F(iF + 2, jF, kF, ex)]) +
FIT * (fh[idx_fh_F(iF - 1, jF, kF, ex)] + fh[idx_fh_F(iF + 1, jF, kF, ex)]) -
TWT * fh[idx_fh_F(iF , jF, kF, ex)] ) / dX;
symmetry_bd(ord, ex, f, fh, SoA);
const double Dy_term =
( (fh[idx_fh_F(iF, jF - 3, kF, ex)] + fh[idx_fh_F(iF, jF + 3, kF, ex)]) -
SIX * (fh[idx_fh_F(iF, jF - 2, kF, ex)] + fh[idx_fh_F(iF, jF + 2, kF, ex)]) +
FIT * (fh[idx_fh_F(iF, jF - 1, kF, ex)] + fh[idx_fh_F(iF, jF + 1, kF, ex)]) -
TWT * fh[idx_fh_F(iF, jF , kF, ex)] ) / dY;
const int i0_lo = (iminF + 2 > 0) ? iminF + 2 : 0;
const int j0_lo = (jminF + 2 > 0) ? jminF + 2 : 0;
const int k0_lo = (kminF + 2 > 0) ? kminF + 2 : 0;
const int i0_hi = imaxF - 4;
const int j0_hi = jmaxF - 4;
const int k0_hi = kmaxF - 4;
const double Dz_term =
( (fh[idx_fh_F(iF, jF, kF - 3, ex)] + fh[idx_fh_F(iF, jF, kF + 3, ex)]) -
SIX * (fh[idx_fh_F(iF, jF, kF - 2, ex)] + fh[idx_fh_F(iF, jF, kF + 2, ex)]) +
FIT * (fh[idx_fh_F(iF, jF, kF - 1, ex)] + fh[idx_fh_F(iF, jF, kF + 1, ex)]) -
TWT * fh[idx_fh_F(iF, jF, kF , ex)] ) / dZ;
if (!(i0_lo > i0_hi || j0_lo > j0_hi || k0_lo > k0_hi)) {
for (int k0 = k0_lo; k0 <= k0_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j0_lo; j0 <= j0_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i0_lo; i0 <= i0_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
const double Dx = (
(fh[idx_fh_F(iF - 3, jF, kF, ex)] + fh[idx_fh_F(iF + 3, jF, kF, ex)]) -
SIX * (fh[idx_fh_F(iF - 2, jF, kF, ex)] + fh[idx_fh_F(iF + 2, jF, kF, ex)]) +
FIT * (fh[idx_fh_F(iF - 1, jF, kF, ex)] + fh[idx_fh_F(iF + 1, jF, kF, ex)]) -
TWT * fh[idx_fh_F(iF, jF, kF, ex)]
) / dX;
const double Dy = (
(fh[idx_fh_F(iF, jF - 3, kF, ex)] + fh[idx_fh_F(iF, jF + 3, kF, ex)]) -
SIX * (fh[idx_fh_F(iF, jF - 2, kF, ex)] + fh[idx_fh_F(iF, jF + 2, kF, ex)]) +
FIT * (fh[idx_fh_F(iF, jF - 1, kF, ex)] + fh[idx_fh_F(iF, jF + 1, kF, ex)]) -
TWT * fh[idx_fh_F(iF, jF, kF, ex)]
) / dY;
const double Dz = (
(fh[idx_fh_F(iF, jF, kF - 3, ex)] + fh[idx_fh_F(iF, jF, kF + 3, ex)]) -
SIX * (fh[idx_fh_F(iF, jF, kF - 2, ex)] + fh[idx_fh_F(iF, jF, kF + 2, ex)]) +
FIT * (fh[idx_fh_F(iF, jF, kF - 1, ex)] + fh[idx_fh_F(iF, jF, kF + 1, ex)]) -
TWT * fh[idx_fh_F(iF, jF, kF, ex)]
) / dZ;
f_rhs[p] += (eps / cof) * (Dx + Dy + Dz); /* sign=+ */
}
}
// Fortran:
// f_rhs(i,j,k) = f_rhs(i,j,k) + eps/cof*(Dx_term + Dy_term + Dz_term)
f_rhs[p] += (eps / cof) * (Dx_term + Dy_term + Dz_term);
}
}
free(fh);
return;
}
#elif (ghost_width == 4)
/* ---- r=4, cof=256, sign=-, 9pt stencil ---------------------------- */
{
const int ord = 4;
const int r = 4;
const double cof = 256.0;
const double F8 = 8.0, F28 = 28.0, F56 = 56.0, F70 = 70.0;
const int NO_SYMM = 0, EQ_SYMM = 1;
int iminF = 1, jminF = 1, kminF = 1;
if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -3;
if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = -3;
if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = -3;
const size_t nx = (size_t)ex1 + ord;
const size_t ny = (size_t)ex2 + ord;
const size_t nz = (size_t)ex3 + ord;
const size_t fh_size = nx * ny * nz;
double *fh = (double*)malloc(fh_size * sizeof(double));
if (!fh) return;
symmetry_bd(ord, ex, f, fh, SoA);
/* i±4 valid: i-4>=iminF → i0>=iminF+3, i+4<=imaxF → i0<=ex1-5 */
const int i0_lo = (iminF + 3 > 0) ? iminF + 3 : 0;
const int j0_lo = (jminF + 3 > 0) ? jminF + 3 : 0;
const int k0_lo = (kminF + 3 > 0) ? kminF + 3 : 0;
const int i0_hi = imaxF - 5;
const int j0_hi = jmaxF - 5;
const int k0_hi = kmaxF - 5;
if (!(i0_lo > i0_hi || j0_lo > j0_hi || k0_lo > k0_hi)) {
for (int k0 = k0_lo; k0 <= k0_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j0_lo; j0 <= j0_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i0_lo; i0 <= i0_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
/* Stencil: [1,-8,28,-56,70,-56,28,-8,1] */
const double Dx = (
(fh[idx_fh_F_ord4(iF - 4, jF, kF, ex)] + fh[idx_fh_F_ord4(iF + 4, jF, kF, ex)]) -
F8 * (fh[idx_fh_F_ord4(iF - 3, jF, kF, ex)] + fh[idx_fh_F_ord4(iF + 3, jF, kF, ex)]) +
F28* (fh[idx_fh_F_ord4(iF - 2, jF, kF, ex)] + fh[idx_fh_F_ord4(iF + 2, jF, kF, ex)]) -
F56* (fh[idx_fh_F_ord4(iF - 1, jF, kF, ex)] + fh[idx_fh_F_ord4(iF + 1, jF, kF, ex)]) +
F70* fh[idx_fh_F_ord4(iF, jF, kF, ex)]
) / dX;
const double Dy = (
(fh[idx_fh_F_ord4(iF, jF - 4, kF, ex)] + fh[idx_fh_F_ord4(iF, jF + 4, kF, ex)]) -
F8 * (fh[idx_fh_F_ord4(iF, jF - 3, kF, ex)] + fh[idx_fh_F_ord4(iF, jF + 3, kF, ex)]) +
F28* (fh[idx_fh_F_ord4(iF, jF - 2, kF, ex)] + fh[idx_fh_F_ord4(iF, jF + 2, kF, ex)]) -
F56* (fh[idx_fh_F_ord4(iF, jF - 1, kF, ex)] + fh[idx_fh_F_ord4(iF, jF + 1, kF, ex)]) +
F70* fh[idx_fh_F_ord4(iF, jF, kF, ex)]
) / dY;
const double Dz = (
(fh[idx_fh_F_ord4(iF, jF, kF - 4, ex)] + fh[idx_fh_F_ord4(iF, jF, kF + 4, ex)]) -
F8 * (fh[idx_fh_F_ord4(iF, jF, kF - 3, ex)] + fh[idx_fh_F_ord4(iF, jF, kF + 3, ex)]) +
F28* (fh[idx_fh_F_ord4(iF, jF, kF - 2, ex)] + fh[idx_fh_F_ord4(iF, jF, kF + 2, ex)]) -
F56* (fh[idx_fh_F_ord4(iF, jF, kF - 1, ex)] + fh[idx_fh_F_ord4(iF, jF, kF + 1, ex)]) +
F70* fh[idx_fh_F_ord4(iF, jF, kF, ex)]
) / dZ;
f_rhs[p] -= (eps / cof) * (Dx + Dy + Dz); /* sign=- */
}
}
}
}
free(fh);
return;
}
#elif (ghost_width == 5)
/* ---- r=5, cof=1024, sign=+, 11pt stencil ------------------------- */
{
const int ord = 5;
const int r = 5;
const double cof = 1024.0;
const double F10 = 10.0, F45 = 45.0, F120 = 120.0;
const double F210 = 210.0, F252 = 252.0;
const int NO_SYMM = 0, EQ_SYMM = 1;
int iminF = 1, jminF = 1, kminF = 1;
if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -4;
if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = -4;
if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = -4;
const size_t nx = (size_t)ex1 + ord;
const size_t ny = (size_t)ex2 + ord;
const size_t nz = (size_t)ex3 + ord;
const size_t fh_size = nx * ny * nz;
double *fh = (double*)malloc(fh_size * sizeof(double));
if (!fh) return;
symmetry_bd(ord, ex, f, fh, SoA);
/* i±5 valid: i0>=iminF+4, i0<=ex1-6 */
const int i0_lo = (iminF + 4 > 0) ? iminF + 4 : 0;
const int j0_lo = (jminF + 4 > 0) ? jminF + 4 : 0;
const int k0_lo = (kminF + 4 > 0) ? kminF + 4 : 0;
const int i0_hi = imaxF - 6;
const int j0_hi = jmaxF - 6;
const int k0_hi = kmaxF - 6;
if (!(i0_lo > i0_hi || j0_lo > j0_hi || k0_lo > k0_hi)) {
for (int k0 = k0_lo; k0 <= k0_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j0_lo; j0 <= j0_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i0_lo; i0 <= i0_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
/* Stencil: [1,-10,45,-120,210,-252,210,-120,45,-10,1] */
const double Dx = (
(fh[idx_fh_F_ord5(iF - 5, jF, kF, ex)] + fh[idx_fh_F_ord5(iF + 5, jF, kF, ex)]) -
F10 * (fh[idx_fh_F_ord5(iF - 4, jF, kF, ex)] + fh[idx_fh_F_ord5(iF + 4, jF, kF, ex)]) +
F45 * (fh[idx_fh_F_ord5(iF - 3, jF, kF, ex)] + fh[idx_fh_F_ord5(iF + 3, jF, kF, ex)]) -
F120* (fh[idx_fh_F_ord5(iF - 2, jF, kF, ex)] + fh[idx_fh_F_ord5(iF + 2, jF, kF, ex)]) +
F210* (fh[idx_fh_F_ord5(iF - 1, jF, kF, ex)] + fh[idx_fh_F_ord5(iF + 1, jF, kF, ex)]) -
F252* fh[idx_fh_F_ord5(iF, jF, kF, ex)]
) / dX;
const double Dy = (
(fh[idx_fh_F_ord5(iF, jF - 5, kF, ex)] + fh[idx_fh_F_ord5(iF, jF + 5, kF, ex)]) -
F10 * (fh[idx_fh_F_ord5(iF, jF - 4, kF, ex)] + fh[idx_fh_F_ord5(iF, jF + 4, kF, ex)]) +
F45 * (fh[idx_fh_F_ord5(iF, jF - 3, kF, ex)] + fh[idx_fh_F_ord5(iF, jF + 3, kF, ex)]) -
F120* (fh[idx_fh_F_ord5(iF, jF - 2, kF, ex)] + fh[idx_fh_F_ord5(iF, jF + 2, kF, ex)]) +
F210* (fh[idx_fh_F_ord5(iF, jF - 1, kF, ex)] + fh[idx_fh_F_ord5(iF, jF + 1, kF, ex)]) -
F252* fh[idx_fh_F_ord5(iF, jF, kF, ex)]
) / dY;
const double Dz = (
(fh[idx_fh_F_ord5(iF, jF, kF - 5, ex)] + fh[idx_fh_F_ord5(iF, jF, kF + 5, ex)]) -
F10 * (fh[idx_fh_F_ord5(iF, jF, kF - 4, ex)] + fh[idx_fh_F_ord5(iF, jF, kF + 4, ex)]) +
F45 * (fh[idx_fh_F_ord5(iF, jF, kF - 3, ex)] + fh[idx_fh_F_ord5(iF, jF, kF + 3, ex)]) -
F120* (fh[idx_fh_F_ord5(iF, jF, kF - 2, ex)] + fh[idx_fh_F_ord5(iF, jF, kF + 2, ex)]) +
F210* (fh[idx_fh_F_ord5(iF, jF, kF - 1, ex)] + fh[idx_fh_F_ord5(iF, jF, kF + 1, ex)]) -
F252* fh[idx_fh_F_ord5(iF, jF, kF, ex)]
) / dZ;
f_rhs[p] += (eps / cof) * (Dx + Dy + Dz); /* sign=+ */
}
}
}
}
free(fh);
return;
}
#else
#error "kodiss_c.C: unsupported ghost_width (must be 2, 3, 4, or 5)"
#endif
}
free(fh);
}

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@@ -1,136 +0,0 @@
#include "macrodef.h"
#include "share_func.h"
/*
* kodis_sh — Kreiss-Oliger dissipation on shell patches.
* Same stencil coefficients as Cartesian kodis. Uses symmetry_stbd.
*/
extern "C" void kodis_sh_(const int ex[3],
const double *X, const double *Y, const double *Z,
const double *f, double *f_rhs,
const double SoAi[2],
int Symmetry, double eps, int sst)
{
(void)sst;
const double ZEO=0.0;
const int ex1=ex[0], ex2=ex[1], ex3=ex[2];
const double dX=X[1]-X[0], dY=Y[1]-Y[0], dZ=Z[1]-Z[0];
const int imaxF=ex1, jmaxF=ex2, kmaxF=ex3;
const double SoA[2]={SoAi[0],SoAi[1]};
#if (ghost_width == 2)
{
const int ord=2, r=2;
const double cof=16.0, F4=4.0, F6=6.0;
const int NO_SYMM=0, OCTANT=2;
int iminF=1,jminF=1,kminF=1;
if(Symmetry==OCTANT&&fabs(X[0])<dX)iminF=-1;
if(Symmetry==OCTANT&&fabs(Y[0])<dY)jminF=-1;
if((sst==2||sst==4)&&fabs(Y[0])<dY)jminF=-1;
const size_t nx=(size_t)ex1+2*ord,ny=(size_t)ex2+2*ord,nz=(size_t)ex3,fh_size=nx*ny*nz;
double *fh=(double*)malloc(fh_size*sizeof(double));if(!fh)return;
symmetry_stbd(ord,ex,f,fh,SoA);
const int i0_lo=(iminF+1>0)?iminF+1:0,j0_lo=(jminF+1>0)?jminF+1:0,k0_lo=2;
const int i0_hi=imaxF-3,j0_hi=jmaxF-3,k0_hi=kmaxF-3;
if(!(i0_lo>i0_hi||j0_lo>j0_hi||k0_lo>k0_hi)){
for(int k0=k0_lo;k0<=k0_hi;++k0){const int kF=k0+1;
for(int j0=j0_lo;j0<=j0_hi;++j0){const int jF=j0+1;
for(int i0=i0_lo;i0<=i0_hi;++i0){const int iF=i0+1;const size_t p=idx_ex(i0,j0,k0,ex);
const double Dx=((fh[idx_fh_stbd(iF-2,jF,kF,ord,ex)]+fh[idx_fh_stbd(iF+2,jF,kF,ord,ex)])-F4*(fh[idx_fh_stbd(iF-1,jF,kF,ord,ex)]+fh[idx_fh_stbd(iF+1,jF,kF,ord,ex)])+F6*fh[idx_fh_stbd(iF,jF,kF,ord,ex)])/dX;
const double Dy=((fh[idx_fh_stbd(iF,jF-2,kF,ord,ex)]+fh[idx_fh_stbd(iF,jF+2,kF,ord,ex)])-F4*(fh[idx_fh_stbd(iF,jF-1,kF,ord,ex)]+fh[idx_fh_stbd(iF,jF+1,kF,ord,ex)])+F6*fh[idx_fh_stbd(iF,jF,kF,ord,ex)])/dY;
const double Dz=((fh[idx_fh_stbd(iF,jF,kF-2,ord,ex)]+fh[idx_fh_stbd(iF,jF,kF+2,ord,ex)])-F4*(fh[idx_fh_stbd(iF,jF,kF-1,ord,ex)]+fh[idx_fh_stbd(iF,jF,kF+1,ord,ex)])+F6*fh[idx_fh_stbd(iF,jF,kF,ord,ex)])/dZ;
f_rhs[p]-=(eps/cof)*(Dx+Dy+Dz);
}}}
}
free(fh);return;
}
#elif (ghost_width == 3)
{
const int ord=3, r=3;
const double cof=64.0,SIX=6.0,FIT=15.0,TWT=20.0;
const int NO_SYMM=0,OCTANT=2;
int iminF=1,jminF=1,kminF=1;
if(Symmetry==OCTANT&&fabs(X[0])<dX)iminF=-2;
if(Symmetry==OCTANT&&fabs(Y[0])<dY)jminF=-2;
if((sst==2||sst==4)&&fabs(Y[0])<dY)jminF=-2;
const size_t nx=(size_t)ex1+2*ord,ny=(size_t)ex2+2*ord,nz=(size_t)ex3,fh_size=nx*ny*nz;
double *fh=(double*)malloc(fh_size*sizeof(double));if(!fh)return;
symmetry_stbd(ord,ex,f,fh,SoA);
const int i0_lo=(iminF+2>0)?iminF+2:0,j0_lo=(jminF+2>0)?jminF+2:0,k0_lo=3;
const int i0_hi=imaxF-4,j0_hi=jmaxF-4,k0_hi=kmaxF-4;
if(!(i0_lo>i0_hi||j0_lo>j0_hi||k0_lo>k0_hi)){
for(int k0=k0_lo;k0<=k0_hi;++k0){const int kF=k0+1;
for(int j0=j0_lo;j0<=j0_hi;++j0){const int jF=j0+1;
for(int i0=i0_lo;i0<=i0_hi;++i0){const int iF=i0+1;const size_t p=idx_ex(i0,j0,k0,ex);
const double Dx=((fh[idx_fh_stbd(iF-3,jF,kF,ord,ex)]+fh[idx_fh_stbd(iF+3,jF,kF,ord,ex)])-SIX*(fh[idx_fh_stbd(iF-2,jF,kF,ord,ex)]+fh[idx_fh_stbd(iF+2,jF,kF,ord,ex)])+FIT*(fh[idx_fh_stbd(iF-1,jF,kF,ord,ex)]+fh[idx_fh_stbd(iF+1,jF,kF,ord,ex)])-TWT*fh[idx_fh_stbd(iF,jF,kF,ord,ex)])/dX;
const double Dy=((fh[idx_fh_stbd(iF,jF-3,kF,ord,ex)]+fh[idx_fh_stbd(iF,jF+3,kF,ord,ex)])-SIX*(fh[idx_fh_stbd(iF,jF-2,kF,ord,ex)]+fh[idx_fh_stbd(iF,jF+2,kF,ord,ex)])+FIT*(fh[idx_fh_stbd(iF,jF-1,kF,ord,ex)]+fh[idx_fh_stbd(iF,jF+1,kF,ord,ex)])-TWT*fh[idx_fh_stbd(iF,jF,kF,ord,ex)])/dY;
const double Dz=((fh[idx_fh_stbd(iF,jF,kF-3,ord,ex)]+fh[idx_fh_stbd(iF,jF,kF+3,ord,ex)])-SIX*(fh[idx_fh_stbd(iF,jF,kF-2,ord,ex)]+fh[idx_fh_stbd(iF,jF,kF+2,ord,ex)])+FIT*(fh[idx_fh_stbd(iF,jF,kF-1,ord,ex)]+fh[idx_fh_stbd(iF,jF,kF+1,ord,ex)])-TWT*fh[idx_fh_stbd(iF,jF,kF,ord,ex)])/dZ;
f_rhs[p]+=(eps/cof)*(Dx+Dy+Dz);
}}}
}
free(fh);return;
}
#elif (ghost_width == 4)
{
const int ord=4, r=4;
const double cof=256.0,F8=8.0,F28=28.0,F56=56.0,F70=70.0;
const int NO_SYMM=0,OCTANT=2;
int iminF=1,jminF=1,kminF=1;
if(Symmetry==OCTANT&&fabs(X[0])<dX)iminF=-3;
if(Symmetry==OCTANT&&fabs(Y[0])<dY)jminF=-3;
if((sst==2||sst==4)&&fabs(Y[0])<dY)jminF=-3;
const size_t nx=(size_t)ex1+2*ord,ny=(size_t)ex2+2*ord,nz=(size_t)ex3,fh_size=nx*ny*nz;
double *fh=(double*)malloc(fh_size*sizeof(double));if(!fh)return;
symmetry_stbd(ord,ex,f,fh,SoA);
const int i0_lo=(iminF+3>0)?iminF+3:0,j0_lo=(jminF+3>0)?jminF+3:0,k0_lo=4;
const int i0_hi=imaxF-5,j0_hi=jmaxF-5,k0_hi=kmaxF-5;
if(!(i0_lo>i0_hi||j0_lo>j0_hi||k0_lo>k0_hi)){
for(int k0=k0_lo;k0<=k0_hi;++k0){const int kF=k0+1;
for(int j0=j0_lo;j0<=j0_hi;++j0){const int jF=j0+1;
for(int i0=i0_lo;i0<=i0_hi;++i0){const int iF=i0+1;const size_t p=idx_ex(i0,j0,k0,ex);
const double Dx=((fh[idx_fh_stbd(iF-4,jF,kF,ord,ex)]+fh[idx_fh_stbd(iF+4,jF,kF,ord,ex)])-F8*(fh[idx_fh_stbd(iF-3,jF,kF,ord,ex)]+fh[idx_fh_stbd(iF+3,jF,kF,ord,ex)])+F28*(fh[idx_fh_stbd(iF-2,jF,kF,ord,ex)]+fh[idx_fh_stbd(iF+2,jF,kF,ord,ex)])-F56*(fh[idx_fh_stbd(iF-1,jF,kF,ord,ex)]+fh[idx_fh_stbd(iF+1,jF,kF,ord,ex)])+F70*fh[idx_fh_stbd(iF,jF,kF,ord,ex)])/dX;
const double Dy=((fh[idx_fh_stbd(iF,jF-4,kF,ord,ex)]+fh[idx_fh_stbd(iF,jF+4,kF,ord,ex)])-F8*(fh[idx_fh_stbd(iF,jF-3,kF,ord,ex)]+fh[idx_fh_stbd(iF,jF+3,kF,ord,ex)])+F28*(fh[idx_fh_stbd(iF,jF-2,kF,ord,ex)]+fh[idx_fh_stbd(iF,jF+2,kF,ord,ex)])-F56*(fh[idx_fh_stbd(iF,jF-1,kF,ord,ex)]+fh[idx_fh_stbd(iF,jF+1,kF,ord,ex)])+F70*fh[idx_fh_stbd(iF,jF,kF,ord,ex)])/dY;
const double Dz=((fh[idx_fh_stbd(iF,jF,kF-4,ord,ex)]+fh[idx_fh_stbd(iF,jF,kF+4,ord,ex)])-F8*(fh[idx_fh_stbd(iF,jF,kF-3,ord,ex)]+fh[idx_fh_stbd(iF,jF,kF+3,ord,ex)])+F28*(fh[idx_fh_stbd(iF,jF,kF-2,ord,ex)]+fh[idx_fh_stbd(iF,jF,kF+2,ord,ex)])-F56*(fh[idx_fh_stbd(iF,jF,kF-1,ord,ex)]+fh[idx_fh_stbd(iF,jF,kF+1,ord,ex)])+F70*fh[idx_fh_stbd(iF,jF,kF,ord,ex)])/dZ;
f_rhs[p]-=(eps/cof)*(Dx+Dy+Dz);
}}}
}
free(fh);return;
}
#elif (ghost_width == 5)
{
const int ord=5, r=5;
const double cof=1024.0,F10=10.0,F45k=45.0,F120=120.0,F210=210.0,F252=252.0;
const int NO_SYMM=0,OCTANT=2;
int iminF=1,jminF=1,kminF=1;
if(Symmetry==OCTANT&&fabs(X[0])<dX)iminF=-4;
if(Symmetry==OCTANT&&fabs(Y[0])<dY)jminF=-4;
if((sst==2||sst==4)&&fabs(Y[0])<dY)jminF=-4;
const size_t nx=(size_t)ex1+2*ord,ny=(size_t)ex2+2*ord,nz=(size_t)ex3,fh_size=nx*ny*nz;
double *fh=(double*)malloc(fh_size*sizeof(double));if(!fh)return;
symmetry_stbd(ord,ex,f,fh,SoA);
const int i0_lo=(iminF+4>0)?iminF+4:0,j0_lo=(jminF+4>0)?jminF+4:0,k0_lo=5;
const int i0_hi=imaxF-6,j0_hi=jmaxF-6,k0_hi=kmaxF-6;
if(!(i0_lo>i0_hi||j0_lo>j0_hi||k0_lo>k0_hi)){
for(int k0=k0_lo;k0<=k0_hi;++k0){const int kF=k0+1;
for(int j0=j0_lo;j0<=j0_hi;++j0){const int jF=j0+1;
for(int i0=i0_lo;i0<=i0_hi;++i0){const int iF=i0+1;const size_t p=idx_ex(i0,j0,k0,ex);
const double Dx=((fh[idx_fh_stbd(iF-5,jF,kF,ord,ex)]+fh[idx_fh_stbd(iF+5,jF,kF,ord,ex)])-F10*(fh[idx_fh_stbd(iF-4,jF,kF,ord,ex)]+fh[idx_fh_stbd(iF+4,jF,kF,ord,ex)])+F45k*(fh[idx_fh_stbd(iF-3,jF,kF,ord,ex)]+fh[idx_fh_stbd(iF+3,jF,kF,ord,ex)])-F120*(fh[idx_fh_stbd(iF-2,jF,kF,ord,ex)]+fh[idx_fh_stbd(iF+2,jF,kF,ord,ex)])+F210*(fh[idx_fh_stbd(iF-1,jF,kF,ord,ex)]+fh[idx_fh_stbd(iF+1,jF,kF,ord,ex)])-F252*fh[idx_fh_stbd(iF,jF,kF,ord,ex)])/dX;
const double Dy=((fh[idx_fh_stbd(iF,jF-5,kF,ord,ex)]+fh[idx_fh_stbd(iF,jF+5,kF,ord,ex)])-F10*(fh[idx_fh_stbd(iF,jF-4,kF,ord,ex)]+fh[idx_fh_stbd(iF,jF+4,kF,ord,ex)])+F45k*(fh[idx_fh_stbd(iF,jF-3,kF,ord,ex)]+fh[idx_fh_stbd(iF,jF+3,kF,ord,ex)])-F120*(fh[idx_fh_stbd(iF,jF-2,kF,ord,ex)]+fh[idx_fh_stbd(iF,jF+2,kF,ord,ex)])+F210*(fh[idx_fh_stbd(iF,jF-1,kF,ord,ex)]+fh[idx_fh_stbd(iF,jF+1,kF,ord,ex)])-F252*fh[idx_fh_stbd(iF,jF,kF,ord,ex)])/dY;
const double Dz=((fh[idx_fh_stbd(iF,jF,kF-5,ord,ex)]+fh[idx_fh_stbd(iF,jF,kF+5,ord,ex)])-F10*(fh[idx_fh_stbd(iF,jF,kF-4,ord,ex)]+fh[idx_fh_stbd(iF,jF,kF+4,ord,ex)])+F45k*(fh[idx_fh_stbd(iF,jF,kF-3,ord,ex)]+fh[idx_fh_stbd(iF,jF,kF+3,ord,ex)])-F120*(fh[idx_fh_stbd(iF,jF,kF-2,ord,ex)]+fh[idx_fh_stbd(iF,jF,kF+2,ord,ex)])+F210*(fh[idx_fh_stbd(iF,jF,kF-1,ord,ex)]+fh[idx_fh_stbd(iF,jF,kF+1,ord,ex)])-F252*fh[idx_fh_stbd(iF,jF,kF,ord,ex)])/dZ;
f_rhs[p]+=(eps/cof)*(Dx+Dy+Dz);
}}}
}
free(fh);return;
}
#else
#error "kodiss_sh_c.C: unsupported ghost_width"
#endif
}

View File

@@ -1,13 +1,14 @@
#include "macrodef.h"
#include "tool.h"
/*
* C 版 lopsided — upwind (lopsided) advection derivatives.
* 你需要提供 symmetry_bd 的 C 版本(或 Fortran 绑到 C 的接口)。
* Fortran: call symmetry_bd(3,ex,f,fh,SoA)
*
* Adds advection terms to f_rhs for all three spatial directions.
* Uses sign-biased (one-sided) stencils with centered fallbacks.
*
* For lopsided, symmetry_bd ord = ghost_width (same as kodiss).
* 约定:
* nghost = 3
* ex[3] = {ex1,ex2,ex3}
* f = 原始网格 (ex1*ex2*ex3)
* fh = 扩展网格 ((ex1+3)*(ex2+3)*(ex3+3)),对应 Fortran 的 (-2:ex1, ...)
* SoA[3] = 输入参数
*/
void lopsided(const int ex[3],
const double *X, const double *Y, const double *Z,
@@ -15,577 +16,240 @@ void lopsided(const int ex[3],
const double *Sfx, const double *Sfy, const double *Sfz,
int Symmetry, const double SoA[3])
{
const double ZEO = 0.0, ONE = 1.0;
const double TWO = 2.0, F6 = 6.0, EIT = 8.0;
const double F3 = 3.0, F4 = 4.0, F5 = 5.0, F10 = 10.0, F12 = 12.0, F18 = 18.0;
const double F9 = 9.0, F45 = 45.0, F60 = 60.0;
const double F2 = 2.0, F15 = 15.0, F24 = 24.0, F30 = 30.0, F35 = 35.0;
const double F50 = 50.0, F77 = 77.0, F80 = 80.0, F100 = 100.0, F150 = 150.0;
const double F32 = 32.0, F168 = 168.0, F672 = 672.0, F840 = 840.0;
const double F140=140.0, F378=378.0, F420=420.0, F1050=1050.0;
const double ZEO = 0.0, ONE = 1.0, F3 = 3.0;
const double TWO = 2.0, F6 = 6.0, F18 = 18.0;
const double F12 = 12.0, F10 = 10.0, EIT = 8.0;
const int NO_SYMM = 0, EQ_SYMM = 1, OCTANT = 2;
(void)OCTANT; // 这里和 Fortran 一样只是定义了不用也没关系
const int NO_SYMM = 0, EQ_SYMM = 1;
const int ex1 = ex[0], ex2 = ex[1], ex3 = ex[2];
// 对应 Fortran: dX = X(2)-X(1) Fortran 1-based
// C: X[1]-X[0]
const double dX = X[1] - X[0];
const double dY = Y[1] - Y[0];
const double dZ = Z[1] - Z[0];
#if (ghost_width == 2)
/* ---- 2nd-order lopsided --------------------------------------------- */
{
const int ord = 2;
int iminF = 1, jminF = 1, kminF = 1;
if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -1;
if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = -1;
if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = -1;
const double d12dx = ONE / F12 / dX;
const double d12dy = ONE / F12 / dY;
const double d12dz = ONE / F12 / dZ;
const size_t nx = (size_t)ex1 + ord;
const size_t ny = (size_t)ex2 + ord;
const size_t nz = (size_t)ex3 + ord;
const size_t fh_size = nx * ny * nz;
// Fortran 里算了 d2dx/d2dy/d2dz 但本 subroutine 里没用到(保持一致也算出来)
const double d2dx = ONE / TWO / dX;
const double d2dy = ONE / TWO / dY;
const double d2dz = ONE / TWO / dZ;
(void)d2dx; (void)d2dy; (void)d2dz;
double *fh = (double*)malloc(fh_size * sizeof(double));
if (!fh) return;
symmetry_bd(ord, ex, f, fh, SoA);
// Fortran:
// imax = ex(1); jmax = ex(2); kmax = ex(3)
const int imaxF = ex1;
const int jmaxF = ex2;
const int kmaxF = ex3;
const double d2dx = ONE / TWO / dX;
const double d2dy = ONE / TWO / dY;
const double d2dz = ONE / TWO / dZ;
// Fortran:
// imin=jmin=kmin=1; 若满足对称条件则设为 -2
int iminF = 1, jminF = 1, kminF = 1;
if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -2;
if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = -2;
if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = -2;
const int imaxF = ex1, jmaxF = ex2, kmaxF = ex3;
// 分配 fh大小 (ex1+3)*(ex2+3)*(ex3+3)
const size_t nx = (size_t)ex1 + 3;
const size_t ny = (size_t)ex2 + 3;
const size_t nz = (size_t)ex3 + 3;
const size_t fh_size = nx * ny * nz;
for (int k0 = 0; k0 <= ex3 - 2; ++k0) {
const int kF = k0 + 1;
for (int j0 = 0; j0 <= ex2 - 2; ++j0) {
const int jF = j0 + 1;
for (int i0 = 0; i0 <= ex1 - 2; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
double *fh = (double*)malloc(fh_size * sizeof(double));
if (!fh) return; // 内存不足:直接返回(你也可以改成 abort/报错)
/* x-direction */
const double sfx = Sfx[p];
if (sfx > ZEO) {
if (i0 <= ex1 - 3) // i+2 <= imax
f_rhs[p] += sfx * d2dx * (
-F3*fh[idx_fh_F_ord2(iF, jF, kF, ex)] +
F4*fh[idx_fh_F_ord2(iF+1, jF, kF, ex)] -
fh[idx_fh_F_ord2(iF+2, jF, kF, ex)]);
else if (i0 <= ex1 - 2) // i+1 <= imax
f_rhs[p] += sfx * d2dx * (
-fh[idx_fh_F_ord2(iF, jF, kF, ex)] +
fh[idx_fh_F_ord2(iF+1, jF, kF, ex)]);
} else if (sfx < ZEO) {
if ((i0 - 1) >= iminF) // i-2 >= imin
f_rhs[p] -= sfx * d2dx * (
-F3*fh[idx_fh_F_ord2(iF, jF, kF, ex)] +
F4*fh[idx_fh_F_ord2(iF-1, jF, kF, ex)] -
fh[idx_fh_F_ord2(iF-2, jF, kF, ex)]);
else if (i0 >= iminF) // i-1 >= imin
f_rhs[p] -= sfx * d2dx * (
-fh[idx_fh_F_ord2(iF, jF, kF, ex)] +
fh[idx_fh_F_ord2(iF-1, jF, kF, ex)]);
// Fortran: call symmetry_bd(3,ex,f,fh,SoA)
symmetry_bd(3, ex, f, fh, SoA);
/*
* Fortran 主循环:
* do k=1,ex(3)-1
* do j=1,ex(2)-1
* do i=1,ex(1)-1
*
* 转成 C 0-based
* k0 = 0..ex3-2, j0 = 0..ex2-2, i0 = 0..ex1-2
*
* 并且 Fortran 里的 i/j/k 在 fh 访问时,仍然是 Fortran 索引值:
* iF=i0+1, jF=j0+1, kF=k0+1
*/
for (int k0 = 0; k0 <= ex3 - 2; ++k0) {
const int kF = k0 + 1;
for (int j0 = 0; j0 <= ex2 - 2; ++j0) {
const int jF = j0 + 1;
for (int i0 = 0; i0 <= ex1 - 2; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
// ---------------- x direction ----------------
const double sfx = Sfx[p];
if (sfx > ZEO) {
// Fortran: if(i+3 <= imax)
// iF+3 <= ex1 <=> i0+4 <= ex1 <=> i0 <= ex1-4
if (i0 <= ex1 - 4) {
f_rhs[p] += sfx * d12dx *
(-F3 * fh[idx_fh_F(iF - 1, jF, kF, ex)]
-F10 * fh[idx_fh_F(iF , jF, kF, ex)]
+F18 * fh[idx_fh_F(iF + 1, jF, kF, ex)]
-F6 * fh[idx_fh_F(iF + 2, jF, kF, ex)]
+ fh[idx_fh_F(iF + 3, jF, kF, ex)]);
}
/* y-direction */
const double sfy = Sfy[p];
if (sfy > ZEO) {
if (j0 <= ex2-3)
f_rhs[p] += sfy * d2dy * (
-F3*fh[idx_fh_F_ord2(iF, jF, kF, ex)] +
F4*fh[idx_fh_F_ord2(iF, jF+1, kF, ex)] -
fh[idx_fh_F_ord2(iF, jF+2, kF, ex)]);
else if (j0 <= ex2-2)
f_rhs[p] += sfy * d2dy * (
-fh[idx_fh_F_ord2(iF, jF, kF, ex)] +
fh[idx_fh_F_ord2(iF, jF+1, kF, ex)]);
} else if (sfy < ZEO) {
if ((j0-1) >= jminF)
f_rhs[p] -= sfy * d2dy * (
-F3*fh[idx_fh_F_ord2(iF, jF, kF, ex)] +
F4*fh[idx_fh_F_ord2(iF, jF-1, kF, ex)] -
fh[idx_fh_F_ord2(iF, jF-2, kF, ex)]);
else if (j0 >= jminF)
f_rhs[p] -= sfy * d2dy * (
-fh[idx_fh_F_ord2(iF, jF, kF, ex)] +
fh[idx_fh_F_ord2(iF, jF-1, kF, ex)]);
// elseif(i+2 <= imax) <=> i0 <= ex1-3
else if (i0 <= ex1 - 3) {
f_rhs[p] += sfx * d12dx *
( fh[idx_fh_F(iF - 2, jF, kF, ex)]
-EIT * fh[idx_fh_F(iF - 1, jF, kF, ex)]
+EIT * fh[idx_fh_F(iF + 1, jF, kF, ex)]
- fh[idx_fh_F(iF + 2, jF, kF, ex)]);
}
// elseif(i+1 <= imax) <=> i0 <= ex1-2循环里总成立
else if (i0 <= ex1 - 2) {
f_rhs[p] -= sfx * d12dx *
(-F3 * fh[idx_fh_F(iF + 1, jF, kF, ex)]
-F10 * fh[idx_fh_F(iF , jF, kF, ex)]
+F18 * fh[idx_fh_F(iF - 1, jF, kF, ex)]
-F6 * fh[idx_fh_F(iF - 2, jF, kF, ex)]
+ fh[idx_fh_F(iF - 3, jF, kF, ex)]);
}
} else if (sfx < ZEO) {
// Fortran: if(i-3 >= imin)
// (iF-3) >= iminF <=> (i0-2) >= iminF
if ((i0 - 2) >= iminF) {
f_rhs[p] -= sfx * d12dx *
(-F3 * fh[idx_fh_F(iF + 1, jF, kF, ex)]
-F10 * fh[idx_fh_F(iF , jF, kF, ex)]
+F18 * fh[idx_fh_F(iF - 1, jF, kF, ex)]
-F6 * fh[idx_fh_F(iF - 2, jF, kF, ex)]
+ fh[idx_fh_F(iF - 3, jF, kF, ex)]);
}
// elseif(i-2 >= imin) <=> (i0-1) >= iminF
else if ((i0 - 1) >= iminF) {
f_rhs[p] += sfx * d12dx *
( fh[idx_fh_F(iF - 2, jF, kF, ex)]
-EIT * fh[idx_fh_F(iF - 1, jF, kF, ex)]
+EIT * fh[idx_fh_F(iF + 1, jF, kF, ex)]
- fh[idx_fh_F(iF + 2, jF, kF, ex)]);
}
// elseif(i-1 >= imin) <=> i0 >= iminF
else if (i0 >= iminF) {
f_rhs[p] += sfx * d12dx *
(-F3 * fh[idx_fh_F(iF - 1, jF, kF, ex)]
-F10 * fh[idx_fh_F(iF , jF, kF, ex)]
+F18 * fh[idx_fh_F(iF + 1, jF, kF, ex)]
-F6 * fh[idx_fh_F(iF + 2, jF, kF, ex)]
+ fh[idx_fh_F(iF + 3, jF, kF, ex)]);
}
}
/* z-direction */
const double sfz = Sfz[p];
if (sfz > ZEO) {
if (k0 <= ex3-3)
f_rhs[p] += sfz * d2dz * (
-F3*fh[idx_fh_F_ord2(iF, jF, kF, ex)] +
F4*fh[idx_fh_F_ord2(iF, jF, kF+1, ex)] -
fh[idx_fh_F_ord2(iF, jF, kF+2, ex)]);
else if (k0 <= ex3-2)
f_rhs[p] += sfz * d2dz * (
-fh[idx_fh_F_ord2(iF, jF, kF, ex)] +
fh[idx_fh_F_ord2(iF, jF, kF+1, ex)]);
} else if (sfz < ZEO) {
if ((k0-1) >= kminF)
f_rhs[p] -= sfz * d2dz * (
-F3*fh[idx_fh_F_ord2(iF, jF, kF, ex)] +
F4*fh[idx_fh_F_ord2(iF, jF, kF-1, ex)] -
fh[idx_fh_F_ord2(iF, jF, kF-2, ex)]);
else if (k0 >= kminF)
f_rhs[p] -= sfz * d2dz * (
-fh[idx_fh_F_ord2(iF, jF, kF, ex)] +
fh[idx_fh_F_ord2(iF, jF, kF-1, ex)]);
// ---------------- y direction ----------------
const double sfy = Sfy[p];
if (sfy > ZEO) {
// jF+3 <= ex2 <=> j0+4 <= ex2 <=> j0 <= ex2-4
if (j0 <= ex2 - 4) {
f_rhs[p] += sfy * d12dy *
(-F3 * fh[idx_fh_F(iF, jF - 1, kF, ex)]
-F10 * fh[idx_fh_F(iF, jF , kF, ex)]
+F18 * fh[idx_fh_F(iF, jF + 1, kF, ex)]
-F6 * fh[idx_fh_F(iF, jF + 2, kF, ex)]
+ fh[idx_fh_F(iF, jF + 3, kF, ex)]);
} else if (j0 <= ex2 - 3) {
f_rhs[p] += sfy * d12dy *
( fh[idx_fh_F(iF, jF - 2, kF, ex)]
-EIT * fh[idx_fh_F(iF, jF - 1, kF, ex)]
+EIT * fh[idx_fh_F(iF, jF + 1, kF, ex)]
- fh[idx_fh_F(iF, jF + 2, kF, ex)]);
} else if (j0 <= ex2 - 2) {
f_rhs[p] -= sfy * d12dy *
(-F3 * fh[idx_fh_F(iF, jF + 1, kF, ex)]
-F10 * fh[idx_fh_F(iF, jF , kF, ex)]
+F18 * fh[idx_fh_F(iF, jF - 1, kF, ex)]
-F6 * fh[idx_fh_F(iF, jF - 2, kF, ex)]
+ fh[idx_fh_F(iF, jF - 3, kF, ex)]);
}
} else if (sfy < ZEO) {
if ((j0 - 2) >= jminF) {
f_rhs[p] -= sfy * d12dy *
(-F3 * fh[idx_fh_F(iF, jF + 1, kF, ex)]
-F10 * fh[idx_fh_F(iF, jF , kF, ex)]
+F18 * fh[idx_fh_F(iF, jF - 1, kF, ex)]
-F6 * fh[idx_fh_F(iF, jF - 2, kF, ex)]
+ fh[idx_fh_F(iF, jF - 3, kF, ex)]);
} else if ((j0 - 1) >= jminF) {
f_rhs[p] += sfy * d12dy *
( fh[idx_fh_F(iF, jF - 2, kF, ex)]
-EIT * fh[idx_fh_F(iF, jF - 1, kF, ex)]
+EIT * fh[idx_fh_F(iF, jF + 1, kF, ex)]
- fh[idx_fh_F(iF, jF + 2, kF, ex)]);
} else if (j0 >= jminF) {
f_rhs[p] += sfy * d12dy *
(-F3 * fh[idx_fh_F(iF, jF - 1, kF, ex)]
-F10 * fh[idx_fh_F(iF, jF , kF, ex)]
+F18 * fh[idx_fh_F(iF, jF + 1, kF, ex)]
-F6 * fh[idx_fh_F(iF, jF + 2, kF, ex)]
+ fh[idx_fh_F(iF, jF + 3, kF, ex)]);
}
}
// ---------------- z direction ----------------
const double sfz = Sfz[p];
if (sfz > ZEO) {
if (k0 <= ex3 - 4) {
f_rhs[p] += sfz * d12dz *
(-F3 * fh[idx_fh_F(iF, jF, kF - 1, ex)]
-F10 * fh[idx_fh_F(iF, jF, kF , ex)]
+F18 * fh[idx_fh_F(iF, jF, kF + 1, ex)]
-F6 * fh[idx_fh_F(iF, jF, kF + 2, ex)]
+ fh[idx_fh_F(iF, jF, kF + 3, ex)]);
} else if (k0 <= ex3 - 3) {
f_rhs[p] += sfz * d12dz *
( fh[idx_fh_F(iF, jF, kF - 2, ex)]
-EIT * fh[idx_fh_F(iF, jF, kF - 1, ex)]
+EIT * fh[idx_fh_F(iF, jF, kF + 1, ex)]
- fh[idx_fh_F(iF, jF, kF + 2, ex)]);
} else if (k0 <= ex3 - 2) {
f_rhs[p] -= sfz * d12dz *
(-F3 * fh[idx_fh_F(iF, jF, kF + 1, ex)]
-F10 * fh[idx_fh_F(iF, jF, kF , ex)]
+F18 * fh[idx_fh_F(iF, jF, kF - 1, ex)]
-F6 * fh[idx_fh_F(iF, jF, kF - 2, ex)]
+ fh[idx_fh_F(iF, jF, kF - 3, ex)]);
}
} else if (sfz < ZEO) {
if ((k0 - 2) >= kminF) {
f_rhs[p] -= sfz * d12dz *
(-F3 * fh[idx_fh_F(iF, jF, kF + 1, ex)]
-F10 * fh[idx_fh_F(iF, jF, kF , ex)]
+F18 * fh[idx_fh_F(iF, jF, kF - 1, ex)]
-F6 * fh[idx_fh_F(iF, jF, kF - 2, ex)]
+ fh[idx_fh_F(iF, jF, kF - 3, ex)]);
} else if ((k0 - 1) >= kminF) {
f_rhs[p] += sfz * d12dz *
( fh[idx_fh_F(iF, jF, kF - 2, ex)]
-EIT * fh[idx_fh_F(iF, jF, kF - 1, ex)]
+EIT * fh[idx_fh_F(iF, jF, kF + 1, ex)]
- fh[idx_fh_F(iF, jF, kF + 2, ex)]);
} else if (k0 >= kminF) {
f_rhs[p] += sfz * d12dz *
(-F3 * fh[idx_fh_F(iF, jF, kF - 1, ex)]
-F10 * fh[idx_fh_F(iF, jF, kF , ex)]
+F18 * fh[idx_fh_F(iF, jF, kF + 1, ex)]
-F6 * fh[idx_fh_F(iF, jF, kF + 2, ex)]
+ fh[idx_fh_F(iF, jF, kF + 3, ex)]);
}
}
}
}
free(fh);
return;
}
#elif (ghost_width == 3)
/* ---- 4th-order lopsided (original code) ---------------------------- */
{
const int ord = 3;
int iminF = 1, jminF = 1, kminF = 1;
if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -2;
if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = -2;
if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = -2;
const size_t nx = (size_t)ex1 + ord;
const size_t ny = (size_t)ex2 + ord;
const size_t nz = (size_t)ex3 + ord;
const size_t fh_size = nx * ny * nz;
double *fh = (double*)malloc(fh_size * sizeof(double));
if (!fh) return;
symmetry_bd(ord, ex, f, fh, SoA);
const double d12dx = ONE / F12 / dX;
const double d12dy = ONE / F12 / dY;
const double d12dz = ONE / F12 / dZ;
const int imaxF = ex1, jmaxF = ex2, kmaxF = ex3;
for (int k0 = 0; k0 <= ex3 - 2; ++k0) {
const int kF = k0 + 1;
for (int j0 = 0; j0 <= ex2 - 2; ++j0) {
const int jF = j0 + 1;
for (int i0 = 0; i0 <= ex1 - 2; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
const double sfx = Sfx[p];
if (sfx > ZEO) {
if (i0 <= ex1 - 4) // i+3 <= imax
f_rhs[p] += sfx * d12dx * (
-F3 *fh[idx_fh_F(iF-1, jF, kF, ex)]
-F10*fh[idx_fh_F(iF, jF, kF, ex)]
+F18*fh[idx_fh_F(iF+1, jF, kF, ex)]
-F6 *fh[idx_fh_F(iF+2, jF, kF, ex)]
+ fh[idx_fh_F(iF+3, jF, kF, ex)]);
else if (i0 <= ex1 - 3) // i+2 <= imax
f_rhs[p] += sfx * d12dx * (
fh[idx_fh_F(iF-2, jF, kF, ex)]
-EIT*fh[idx_fh_F(iF-1, jF, kF, ex)]
+EIT*fh[idx_fh_F(iF+1, jF, kF, ex)]
- fh[idx_fh_F(iF+2, jF, kF, ex)]);
else if (i0 <= ex1 - 2) // i+1 <= imax → mirrored
f_rhs[p] -= sfx * d12dx * (
-F3 *fh[idx_fh_F(iF+1, jF, kF, ex)]
-F10*fh[idx_fh_F(iF, jF, kF, ex)]
+F18*fh[idx_fh_F(iF-1, jF, kF, ex)]
-F6 *fh[idx_fh_F(iF-2, jF, kF, ex)]
+ fh[idx_fh_F(iF-3, jF, kF, ex)]);
} else if (sfx < ZEO) {
if ((i0 - 2) >= iminF) // i-3 >= imin
f_rhs[p] -= sfx * d12dx * (
-F3 *fh[idx_fh_F(iF+1, jF, kF, ex)]
-F10*fh[idx_fh_F(iF, jF, kF, ex)]
+F18*fh[idx_fh_F(iF-1, jF, kF, ex)]
-F6 *fh[idx_fh_F(iF-2, jF, kF, ex)]
+ fh[idx_fh_F(iF-3, jF, kF, ex)]);
else if ((i0 - 1) >= iminF) // i-2 >= imin
f_rhs[p] += sfx * d12dx * (
fh[idx_fh_F(iF-2, jF, kF, ex)]
-EIT*fh[idx_fh_F(iF-1, jF, kF, ex)]
+EIT*fh[idx_fh_F(iF+1, jF, kF, ex)]
- fh[idx_fh_F(iF+2, jF, kF, ex)]);
else if (i0 >= iminF) // i-1 >= imin → mirrored
f_rhs[p] += sfx * d12dx * (
-F3 *fh[idx_fh_F(iF-1, jF, kF, ex)]
-F10*fh[idx_fh_F(iF, jF, kF, ex)]
+F18*fh[idx_fh_F(iF+1, jF, kF, ex)]
-F6 *fh[idx_fh_F(iF+2, jF, kF, ex)]
+ fh[idx_fh_F(iF+3, jF, kF, ex)]);
}
const double sfy = Sfy[p];
if (sfy > ZEO) {
if (j0 <= ex2-4)
f_rhs[p] += sfy * d12dy * (
-F3*fh[idx_fh_F(iF,jF-1,kF,ex)]-F10*fh[idx_fh_F(iF,jF,kF,ex)]
+F18*fh[idx_fh_F(iF,jF+1,kF,ex)]-F6*fh[idx_fh_F(iF,jF+2,kF,ex)]
+fh[idx_fh_F(iF,jF+3,kF,ex)]);
else if (j0 <= ex2-3)
f_rhs[p] += sfy * d12dy * (fh[idx_fh_F(iF,jF-2,kF,ex)]-EIT*fh[idx_fh_F(iF,jF-1,kF,ex)]+EIT*fh[idx_fh_F(iF,jF+1,kF,ex)]-fh[idx_fh_F(iF,jF+2,kF,ex)]);
else if (j0 <= ex2-2)
f_rhs[p] -= sfy * d12dy * (
-F3*fh[idx_fh_F(iF,jF+1,kF,ex)]-F10*fh[idx_fh_F(iF,jF,kF,ex)]
+F18*fh[idx_fh_F(iF,jF-1,kF,ex)]-F6*fh[idx_fh_F(iF,jF-2,kF,ex)]
+fh[idx_fh_F(iF,jF-3,kF,ex)]);
} else if (sfy < ZEO) {
if ((j0-2) >= jminF)
f_rhs[p] -= sfy * d12dy * (
-F3*fh[idx_fh_F(iF,jF+1,kF,ex)]-F10*fh[idx_fh_F(iF,jF,kF,ex)]
+F18*fh[idx_fh_F(iF,jF-1,kF,ex)]-F6*fh[idx_fh_F(iF,jF-2,kF,ex)]
+fh[idx_fh_F(iF,jF-3,kF,ex)]);
else if ((j0-1) >= jminF)
f_rhs[p] += sfy * d12dy * (fh[idx_fh_F(iF,jF-2,kF,ex)]-EIT*fh[idx_fh_F(iF,jF-1,kF,ex)]+EIT*fh[idx_fh_F(iF,jF+1,kF,ex)]-fh[idx_fh_F(iF,jF+2,kF,ex)]);
else if (j0 >= jminF)
f_rhs[p] += sfy * d12dy * (
-F3*fh[idx_fh_F(iF,jF-1,kF,ex)]-F10*fh[idx_fh_F(iF,jF,kF,ex)]
+F18*fh[idx_fh_F(iF,jF+1,kF,ex)]-F6*fh[idx_fh_F(iF,jF+2,kF,ex)]
+fh[idx_fh_F(iF,jF+3,kF,ex)]);
}
const double sfz = Sfz[p];
if (sfz > ZEO) {
if (k0 <= ex3-4)
f_rhs[p] += sfz * d12dz * (
-F3*fh[idx_fh_F(iF,jF,kF-1,ex)]-F10*fh[idx_fh_F(iF,jF,kF,ex)]
+F18*fh[idx_fh_F(iF,jF,kF+1,ex)]-F6*fh[idx_fh_F(iF,jF,kF+2,ex)]
+fh[idx_fh_F(iF,jF,kF+3,ex)]);
else if (k0 <= ex3-3)
f_rhs[p] += sfz * d12dz * (fh[idx_fh_F(iF,jF,kF-2,ex)]-EIT*fh[idx_fh_F(iF,jF,kF-1,ex)]+EIT*fh[idx_fh_F(iF,jF,kF+1,ex)]-fh[idx_fh_F(iF,jF,kF+2,ex)]);
else if (k0 <= ex3-2)
f_rhs[p] -= sfz * d12dz * (
-F3*fh[idx_fh_F(iF,jF,kF+1,ex)]-F10*fh[idx_fh_F(iF,jF,kF,ex)]
+F18*fh[idx_fh_F(iF,jF,kF-1,ex)]-F6*fh[idx_fh_F(iF,jF,kF-2,ex)]
+fh[idx_fh_F(iF,jF,kF-3,ex)]);
} else if (sfz < ZEO) {
if ((k0-2) >= kminF)
f_rhs[p] -= sfz * d12dz * (
-F3*fh[idx_fh_F(iF,jF,kF+1,ex)]-F10*fh[idx_fh_F(iF,jF,kF,ex)]
+F18*fh[idx_fh_F(iF,jF,kF-1,ex)]-F6*fh[idx_fh_F(iF,jF,kF-2,ex)]
+fh[idx_fh_F(iF,jF,kF-3,ex)]);
else if ((k0-1) >= kminF)
f_rhs[p] += sfz * d12dz * (fh[idx_fh_F(iF,jF,kF-2,ex)]-EIT*fh[idx_fh_F(iF,jF,kF-1,ex)]+EIT*fh[idx_fh_F(iF,jF,kF+1,ex)]-fh[idx_fh_F(iF,jF,kF+2,ex)]);
else if (k0 >= kminF)
f_rhs[p] += sfz * d12dz * (
-F3*fh[idx_fh_F(iF,jF,kF-1,ex)]-F10*fh[idx_fh_F(iF,jF,kF,ex)]
+F18*fh[idx_fh_F(iF,jF,kF+1,ex)]-F6*fh[idx_fh_F(iF,jF,kF+2,ex)]
+fh[idx_fh_F(iF,jF,kF+3,ex)]);
}
}
}
}
free(fh);
return;
}
#elif (ghost_width == 4)
/* ---- 6th-order lopsided --------------------------------------------- */
{
const int ord = 4;
int iminF = 1, jminF = 1, kminF = 1;
if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -3;
if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = -3;
if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = -3;
const size_t nx = (size_t)ex1 + ord;
const size_t ny = (size_t)ex2 + ord;
const size_t nz = (size_t)ex3 + ord;
const size_t fh_size = nx * ny * nz;
double *fh = (double*)malloc(fh_size * sizeof(double));
if (!fh) return;
symmetry_bd(ord, ex, f, fh, SoA);
const double d60dx = ONE / F60 / dX;
const double d60dy = ONE / F60 / dY;
const double d60dz = ONE / F60 / dZ;
const double d12dx = ONE / F12 / dX;
const double d12dy = ONE / F12 / dY;
const double d12dz = ONE / F12 / dZ;
const double d2dx = ONE / TWO / dX;
const double d2dy = ONE / TWO / dY;
const double d2dz = ONE / TWO / dZ;
const int imaxF = ex1, jmaxF = ex2, kmaxF = ex3;
for (int k0 = 0; k0 <= ex3 - 2; ++k0) {
const int kF = k0 + 1;
for (int j0 = 0; j0 <= ex2 - 2; ++j0) {
const int jF = j0 + 1;
for (int i0 = 0; i0 <= ex1 - 2; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
/* ---- x-direction ---- */
const double sfx = Sfx[p];
if (sfx > ZEO) {
/* Primary biased: 2*f(i-2)-24*f(i-1)-35*f(i)+80*f(i+1)-30*f(i+2)+8*f(i+3)-f(i+4) */
if (i0 <= ex1-5 && (i0-1)>=iminF) // i+4<=imax && i-2>=imin
f_rhs[p] += sfx * d60dx * (
+F2*fh[idx_fh_F_ord4(iF-2,jF,kF,ex)]-F24*fh[idx_fh_F_ord4(iF-1,jF,kF,ex)]
-F35*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F80*fh[idx_fh_F_ord4(iF+1,jF,kF,ex)]
-F30*fh[idx_fh_F_ord4(iF+2,jF,kF,ex)]+EIT*fh[idx_fh_F_ord4(iF+3,jF,kF,ex)]
-fh[idx_fh_F_ord4(iF+4,jF,kF,ex)]);
/* Boundary-adapted: -10*f(i-1)-77*f(i)+150*f(i+1)-100*f(i+2)+50*f(i+3)-15*f(i+4)+2*f(i+5) */
else if (i0 <= ex1-6 && i0 >= iminF) // i+5<=imax && i-1>=imin
f_rhs[p] += sfx * d60dx * (
-F10*fh[idx_fh_F_ord4(iF-1,jF,kF,ex)]-F77*fh[idx_fh_F_ord4(iF,jF,kF,ex)]
+F150*fh[idx_fh_F_ord4(iF+1,jF,kF,ex)]-F100*fh[idx_fh_F_ord4(iF+2,jF,kF,ex)]
+F50*fh[idx_fh_F_ord4(iF+3,jF,kF,ex)]-F15*fh[idx_fh_F_ord4(iF+4,jF,kF,ex)]
+F2*fh[idx_fh_F_ord4(iF+5,jF,kF,ex)]);
/* Centered fallbacks */
else if (i0 <= ex1-4 && (i0-2)>=iminF) // 6th: i+3<=imax && i-3>=imin
f_rhs[p] += sfx * d60dx * (
-fh[idx_fh_F_ord4(iF-3,jF,kF,ex)]+F9*fh[idx_fh_F_ord4(iF-2,jF,kF,ex)]
-F45*fh[idx_fh_F_ord4(iF-1,jF,kF,ex)]+F45*fh[idx_fh_F_ord4(iF+1,jF,kF,ex)]
-F9*fh[idx_fh_F_ord4(iF+2,jF,kF,ex)]+fh[idx_fh_F_ord4(iF+3,jF,kF,ex)]);
else if (i0 <= ex1-3 && (i0-1)>=iminF) // 4th
f_rhs[p] += sfx * d12dx * (
fh[idx_fh_F_ord4(iF-2,jF,kF,ex)]-EIT*fh[idx_fh_F_ord4(iF-1,jF,kF,ex)]
+EIT*fh[idx_fh_F_ord4(iF+1,jF,kF,ex)]-fh[idx_fh_F_ord4(iF+2,jF,kF,ex)]);
else if (i0 <= ex1-2 && i0>=iminF) // 2nd
f_rhs[p] += sfx * d2dx * (
-fh[idx_fh_F_ord4(iF-1,jF,kF,ex)]+fh[idx_fh_F_ord4(iF+1,jF,kF,ex)]);
} else if (sfx < ZEO) {
if ((i0-3)>=iminF && i0<=ex1-3) // i-4>=imin && i+2<=imax
f_rhs[p] -= sfx * d60dx * (
+F2*fh[idx_fh_F_ord4(iF+2,jF,kF,ex)]-F24*fh[idx_fh_F_ord4(iF+1,jF,kF,ex)]
-F35*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F80*fh[idx_fh_F_ord4(iF-1,jF,kF,ex)]
-F30*fh[idx_fh_F_ord4(iF-2,jF,kF,ex)]+EIT*fh[idx_fh_F_ord4(iF-3,jF,kF,ex)]
-fh[idx_fh_F_ord4(iF-4,jF,kF,ex)]);
else if ((i0-4)>=iminF && i0<=ex1-2) // i-5>=imin && i+1<=imax
f_rhs[p] -= sfx * d60dx * (
-F10*fh[idx_fh_F_ord4(iF+1,jF,kF,ex)]-F77*fh[idx_fh_F_ord4(iF,jF,kF,ex)]
+F150*fh[idx_fh_F_ord4(iF-1,jF,kF,ex)]-F100*fh[idx_fh_F_ord4(iF-2,jF,kF,ex)]
+F50*fh[idx_fh_F_ord4(iF-3,jF,kF,ex)]-F15*fh[idx_fh_F_ord4(iF-4,jF,kF,ex)]
+F2*fh[idx_fh_F_ord4(iF-5,jF,kF,ex)]);
else if ((i0-2)>=iminF && i0<=ex1-4) // 6th centered
f_rhs[p] += sfx * d60dx * (
-fh[idx_fh_F_ord4(iF-3,jF,kF,ex)]+F9*fh[idx_fh_F_ord4(iF-2,jF,kF,ex)]
-F45*fh[idx_fh_F_ord4(iF-1,jF,kF,ex)]+F45*fh[idx_fh_F_ord4(iF+1,jF,kF,ex)]
-F9*fh[idx_fh_F_ord4(iF+2,jF,kF,ex)]+fh[idx_fh_F_ord4(iF+3,jF,kF,ex)]);
else if ((i0-1)>=iminF && i0<=ex1-3) // 4th
f_rhs[p] += sfx * d12dx * (
fh[idx_fh_F_ord4(iF-2,jF,kF,ex)]-EIT*fh[idx_fh_F_ord4(iF-1,jF,kF,ex)]
+EIT*fh[idx_fh_F_ord4(iF+1,jF,kF,ex)]-fh[idx_fh_F_ord4(iF+2,jF,kF,ex)]);
else if (i0>=iminF && i0<=ex1-2) // 2nd
f_rhs[p] += sfx * d2dx * (
-fh[idx_fh_F_ord4(iF-1,jF,kF,ex)]+fh[idx_fh_F_ord4(iF+1,jF,kF,ex)]);
}
/* ---- y-direction ---- */
const double sfy = Sfy[p];
if (sfy > ZEO) {
if (j0<=ex2-5 && (j0-1)>=jminF)
f_rhs[p] += sfy * d60dy*(F2*fh[idx_fh_F_ord4(iF,jF-2,kF,ex)]-F24*fh[idx_fh_F_ord4(iF,jF-1,kF,ex)]-F35*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F80*fh[idx_fh_F_ord4(iF,jF+1,kF,ex)]-F30*fh[idx_fh_F_ord4(iF,jF+2,kF,ex)]+EIT*fh[idx_fh_F_ord4(iF,jF+3,kF,ex)]-fh[idx_fh_F_ord4(iF,jF+4,kF,ex)]);
else if (j0<=ex2-6 && j0>=jminF)
f_rhs[p] += sfy * d60dy*(-F10*fh[idx_fh_F_ord4(iF,jF-1,kF,ex)]-F77*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F150*fh[idx_fh_F_ord4(iF,jF+1,kF,ex)]-F100*fh[idx_fh_F_ord4(iF,jF+2,kF,ex)]+F50*fh[idx_fh_F_ord4(iF,jF+3,kF,ex)]-F15*fh[idx_fh_F_ord4(iF,jF+4,kF,ex)]+F2*fh[idx_fh_F_ord4(iF,jF+5,kF,ex)]);
else if (j0<=ex2-4 && (j0-2)>=jminF)
f_rhs[p] += sfy * d60dy*(-fh[idx_fh_F_ord4(iF,jF-3,kF,ex)]+F9*fh[idx_fh_F_ord4(iF,jF-2,kF,ex)]-F45*fh[idx_fh_F_ord4(iF,jF-1,kF,ex)]+F45*fh[idx_fh_F_ord4(iF,jF+1,kF,ex)]-F9*fh[idx_fh_F_ord4(iF,jF+2,kF,ex)]+fh[idx_fh_F_ord4(iF,jF+3,kF,ex)]);
else if (j0<=ex2-3 && (j0-1)>=jminF)
f_rhs[p] += sfy * d12dy*(fh[idx_fh_F_ord4(iF,jF-2,kF,ex)]-EIT*fh[idx_fh_F_ord4(iF,jF-1,kF,ex)]+EIT*fh[idx_fh_F_ord4(iF,jF+1,kF,ex)]-fh[idx_fh_F_ord4(iF,jF+2,kF,ex)]);
else if (j0<=ex2-2 && j0>=jminF)
f_rhs[p] += sfy * d2dy*(-fh[idx_fh_F_ord4(iF,jF-1,kF,ex)]+fh[idx_fh_F_ord4(iF,jF+1,kF,ex)]);
} else if (sfy < ZEO) {
if ((j0-3)>=jminF && j0<=ex2-3)
f_rhs[p] -= sfy * d60dy*(F2*fh[idx_fh_F_ord4(iF,jF+2,kF,ex)]-F24*fh[idx_fh_F_ord4(iF,jF+1,kF,ex)]-F35*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F80*fh[idx_fh_F_ord4(iF,jF-1,kF,ex)]-F30*fh[idx_fh_F_ord4(iF,jF-2,kF,ex)]+EIT*fh[idx_fh_F_ord4(iF,jF-3,kF,ex)]-fh[idx_fh_F_ord4(iF,jF-4,kF,ex)]);
else if ((j0-4)>=jminF && j0<=ex2-2)
f_rhs[p] -= sfy * d60dy*(-F10*fh[idx_fh_F_ord4(iF,jF+1,kF,ex)]-F77*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F150*fh[idx_fh_F_ord4(iF,jF-1,kF,ex)]-F100*fh[idx_fh_F_ord4(iF,jF-2,kF,ex)]+F50*fh[idx_fh_F_ord4(iF,jF-3,kF,ex)]-F15*fh[idx_fh_F_ord4(iF,jF-4,kF,ex)]+F2*fh[idx_fh_F_ord4(iF,jF-5,kF,ex)]);
else if ((j0-2)>=jminF && j0<=ex2-4)
f_rhs[p] += sfy * d60dy*(-fh[idx_fh_F_ord4(iF,jF-3,kF,ex)]+F9*fh[idx_fh_F_ord4(iF,jF-2,kF,ex)]-F45*fh[idx_fh_F_ord4(iF,jF-1,kF,ex)]+F45*fh[idx_fh_F_ord4(iF,jF+1,kF,ex)]-F9*fh[idx_fh_F_ord4(iF,jF+2,kF,ex)]+fh[idx_fh_F_ord4(iF,jF+3,kF,ex)]);
else if ((j0-1)>=jminF && j0<=ex2-3)
f_rhs[p] += sfy * d12dy*(fh[idx_fh_F_ord4(iF,jF-2,kF,ex)]-EIT*fh[idx_fh_F_ord4(iF,jF-1,kF,ex)]+EIT*fh[idx_fh_F_ord4(iF,jF+1,kF,ex)]-fh[idx_fh_F_ord4(iF,jF+2,kF,ex)]);
else if (j0>=jminF && j0<=ex2-2)
f_rhs[p] += sfy * d2dy*(-fh[idx_fh_F_ord4(iF,jF-1,kF,ex)]+fh[idx_fh_F_ord4(iF,jF+1,kF,ex)]);
}
/* ---- z-direction ---- */
const double sfz = Sfz[p];
if (sfz > ZEO) {
if (k0<=ex3-5 && (k0-1)>=kminF)
f_rhs[p] += sfz * d60dz*(F2*fh[idx_fh_F_ord4(iF,jF,kF-2,ex)]-F24*fh[idx_fh_F_ord4(iF,jF,kF-1,ex)]-F35*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F80*fh[idx_fh_F_ord4(iF,jF,kF+1,ex)]-F30*fh[idx_fh_F_ord4(iF,jF,kF+2,ex)]+EIT*fh[idx_fh_F_ord4(iF,jF,kF+3,ex)]-fh[idx_fh_F_ord4(iF,jF,kF+4,ex)]);
else if (k0<=ex3-6 && k0>=kminF)
f_rhs[p] += sfz * d60dz*(-F10*fh[idx_fh_F_ord4(iF,jF,kF-1,ex)]-F77*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F150*fh[idx_fh_F_ord4(iF,jF,kF+1,ex)]-F100*fh[idx_fh_F_ord4(iF,jF,kF+2,ex)]+F50*fh[idx_fh_F_ord4(iF,jF,kF+3,ex)]-F15*fh[idx_fh_F_ord4(iF,jF,kF+4,ex)]+F2*fh[idx_fh_F_ord4(iF,jF,kF+5,ex)]);
else if (k0<=ex3-4 && (k0-2)>=kminF)
f_rhs[p] += sfz * d60dz*(-fh[idx_fh_F_ord4(iF,jF,kF-3,ex)]+F9*fh[idx_fh_F_ord4(iF,jF,kF-2,ex)]-F45*fh[idx_fh_F_ord4(iF,jF,kF-1,ex)]+F45*fh[idx_fh_F_ord4(iF,jF,kF+1,ex)]-F9*fh[idx_fh_F_ord4(iF,jF,kF+2,ex)]+fh[idx_fh_F_ord4(iF,jF,kF+3,ex)]);
else if (k0<=ex3-3 && (k0-1)>=kminF)
f_rhs[p] += sfz * d12dz*(fh[idx_fh_F_ord4(iF,jF,kF-2,ex)]-EIT*fh[idx_fh_F_ord4(iF,jF,kF-1,ex)]+EIT*fh[idx_fh_F_ord4(iF,jF,kF+1,ex)]-fh[idx_fh_F_ord4(iF,jF,kF+2,ex)]);
else if (k0<=ex3-2 && k0>=kminF)
f_rhs[p] += sfz * d2dz*(-fh[idx_fh_F_ord4(iF,jF,kF-1,ex)]+fh[idx_fh_F_ord4(iF,jF,kF+1,ex)]);
} else if (sfz < ZEO) {
if ((k0-3)>=kminF && k0<=ex3-3)
f_rhs[p] -= sfz * d60dz*(F2*fh[idx_fh_F_ord4(iF,jF,kF+2,ex)]-F24*fh[idx_fh_F_ord4(iF,jF,kF+1,ex)]-F35*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F80*fh[idx_fh_F_ord4(iF,jF,kF-1,ex)]-F30*fh[idx_fh_F_ord4(iF,jF,kF-2,ex)]+EIT*fh[idx_fh_F_ord4(iF,jF,kF-3,ex)]-fh[idx_fh_F_ord4(iF,jF,kF-4,ex)]);
else if ((k0-4)>=kminF && k0<=ex3-2)
f_rhs[p] -= sfz * d60dz*(-F10*fh[idx_fh_F_ord4(iF,jF,kF+1,ex)]-F77*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F150*fh[idx_fh_F_ord4(iF,jF,kF-1,ex)]-F100*fh[idx_fh_F_ord4(iF,jF,kF-2,ex)]+F50*fh[idx_fh_F_ord4(iF,jF,kF-3,ex)]-F15*fh[idx_fh_F_ord4(iF,jF,kF-4,ex)]+F2*fh[idx_fh_F_ord4(iF,jF,kF-5,ex)]);
else if ((k0-2)>=kminF && k0<=ex3-4)
f_rhs[p] += sfz * d60dz*(-fh[idx_fh_F_ord4(iF,jF,kF-3,ex)]+F9*fh[idx_fh_F_ord4(iF,jF,kF-2,ex)]-F45*fh[idx_fh_F_ord4(iF,jF,kF-1,ex)]+F45*fh[idx_fh_F_ord4(iF,jF,kF+1,ex)]-F9*fh[idx_fh_F_ord4(iF,jF,kF+2,ex)]+fh[idx_fh_F_ord4(iF,jF,kF+3,ex)]);
else if ((k0-1)>=kminF && k0<=ex3-3)
f_rhs[p] += sfz * d12dz*(fh[idx_fh_F_ord4(iF,jF,kF-2,ex)]-EIT*fh[idx_fh_F_ord4(iF,jF,kF-1,ex)]+EIT*fh[idx_fh_F_ord4(iF,jF,kF+1,ex)]-fh[idx_fh_F_ord4(iF,jF,kF+2,ex)]);
else if (k0>=kminF && k0<=ex3-2)
f_rhs[p] += sfz * d2dz*(-fh[idx_fh_F_ord4(iF,jF,kF-1,ex)]+fh[idx_fh_F_ord4(iF,jF,kF+1,ex)]);
}
}
}
}
free(fh);
return;
}
#elif (ghost_width == 5)
/* ---- 8th-order lopsided --------------------------------------------- */
{
const int ord = 5;
int iminF = 1, jminF = 1, kminF = 1;
if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -4;
if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = -4;
if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = -4;
const size_t nx = (size_t)ex1 + ord;
const size_t ny = (size_t)ex2 + ord;
const size_t nz = (size_t)ex3 + ord;
const size_t fh_size = nx * ny * nz;
double *fh = (double*)malloc(fh_size * sizeof(double));
if (!fh) return;
symmetry_bd(ord, ex, f, fh, SoA);
const double d840dx = ONE / F840 / dX;
const double d840dy = ONE / F840 / dY;
const double d840dz = ONE / F840 / dZ;
const double d60dx = ONE / F60 / dX;
const double d60dy = ONE / F60 / dY;
const double d60dz = ONE / F60 / dZ;
const double d12dx = ONE / F12 / dX;
const double d12dy = ONE / F12 / dY;
const double d12dz = ONE / F12 / dZ;
const double d2dx = ONE / TWO / dX;
const double d2dy = ONE / TWO / dY;
const double d2dz = ONE / TWO / dZ;
const int imaxF = ex1, jmaxF = ex2, kmaxF = ex3;
for (int k0 = 0; k0 <= ex3 - 2; ++k0) {
const int kF = k0 + 1;
for (int j0 = 0; j0 <= ex2 - 2; ++j0) {
const int jF = j0 + 1;
for (int i0 = 0; i0 <= ex1 - 2; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
const double sfx = Sfx[p];
if (sfx > ZEO) {
/* 8th biased: -5*f(i-3)+60*f(i-2)-420*f(i-1)-378*f(i)+1050*f(i+1)-420*f(i+2)+140*f(i+3)-30*f(i+4)+3*f(i+5) */
if (i0 <= ex1-6 && (i0-2)>=iminF) // i+5<=imax && i-3>=imin
f_rhs[p] += sfx * d840dx * (
-F5*fh[idx_fh_F_ord5(iF-3,jF,kF,ex)]+F60*fh[idx_fh_F_ord5(iF-2,jF,kF,ex)]
-F420*fh[idx_fh_F_ord5(iF-1,jF,kF,ex)]-F378*fh[idx_fh_F_ord5(iF,jF,kF,ex)]
+F1050*fh[idx_fh_F_ord5(iF+1,jF,kF,ex)]-F420*fh[idx_fh_F_ord5(iF+2,jF,kF,ex)]
+F140*fh[idx_fh_F_ord5(iF+3,jF,kF,ex)]-F30*fh[idx_fh_F_ord5(iF+4,jF,kF,ex)]
+F3*fh[idx_fh_F_ord5(iF+5,jF,kF,ex)]);
/* 8th centered: +3*f(i-4)-32*f(i-3)+168*f(i-2)-672*f(i-1)+672*f(i+1)-168*f(i+2)+32*f(i+3)-3*f(i+4) */
else if (i0 <= ex1-5 && (i0-3)>=iminF)
f_rhs[p] += sfx * d840dx * (
+F3*fh[idx_fh_F_ord5(iF-4,jF,kF,ex)]-F32*fh[idx_fh_F_ord5(iF-3,jF,kF,ex)]
+F168*fh[idx_fh_F_ord5(iF-2,jF,kF,ex)]-F672*fh[idx_fh_F_ord5(iF-1,jF,kF,ex)]
+F672*fh[idx_fh_F_ord5(iF+1,jF,kF,ex)]-F168*fh[idx_fh_F_ord5(iF+2,jF,kF,ex)]
+F32*fh[idx_fh_F_ord5(iF+3,jF,kF,ex)]-F3*fh[idx_fh_F_ord5(iF+4,jF,kF,ex)]);
else if (i0 <= ex1-4 && (i0-2)>=iminF) // 6th centered
f_rhs[p] += sfx * d60dx * (
-fh[idx_fh_F_ord5(iF-3,jF,kF,ex)]+F9*fh[idx_fh_F_ord5(iF-2,jF,kF,ex)]
-F45*fh[idx_fh_F_ord5(iF-1,jF,kF,ex)]+F45*fh[idx_fh_F_ord5(iF+1,jF,kF,ex)]
-F9*fh[idx_fh_F_ord5(iF+2,jF,kF,ex)]+fh[idx_fh_F_ord5(iF+3,jF,kF,ex)]);
else if (i0 <= ex1-3 && (i0-1)>=iminF) // 4th centered
f_rhs[p] += sfx * d12dx * (
fh[idx_fh_F_ord5(iF-2,jF,kF,ex)]-EIT*fh[idx_fh_F_ord5(iF-1,jF,kF,ex)]
+EIT*fh[idx_fh_F_ord5(iF+1,jF,kF,ex)]-fh[idx_fh_F_ord5(iF+2,jF,kF,ex)]);
else if (i0 <= ex1-2 && i0>=iminF) // 2nd centered
f_rhs[p] += sfx * d2dx * (
-fh[idx_fh_F_ord5(iF-1,jF,kF,ex)]+fh[idx_fh_F_ord5(iF+1,jF,kF,ex)]);
} else if (sfx < ZEO) {
if ((i0-4)>=iminF && i0<=ex1-4)
f_rhs[p] -= sfx * d840dx * (
-F5*fh[idx_fh_F_ord5(iF+3,jF,kF,ex)]+F60*fh[idx_fh_F_ord5(iF+2,jF,kF,ex)]
-F420*fh[idx_fh_F_ord5(iF+1,jF,kF,ex)]-F378*fh[idx_fh_F_ord5(iF,jF,kF,ex)]
+F1050*fh[idx_fh_F_ord5(iF-1,jF,kF,ex)]-F420*fh[idx_fh_F_ord5(iF-2,jF,kF,ex)]
+F140*fh[idx_fh_F_ord5(iF-3,jF,kF,ex)]-F30*fh[idx_fh_F_ord5(iF-4,jF,kF,ex)]
+F3*fh[idx_fh_F_ord5(iF-5,jF,kF,ex)]);
else if ((i0-3)>=iminF && i0<=ex1-5) // 8th centered
f_rhs[p] += sfx * d840dx * (
+F3*fh[idx_fh_F_ord5(iF-4,jF,kF,ex)]-F32*fh[idx_fh_F_ord5(iF-3,jF,kF,ex)]
+F168*fh[idx_fh_F_ord5(iF-2,jF,kF,ex)]-F672*fh[idx_fh_F_ord5(iF-1,jF,kF,ex)]
+F672*fh[idx_fh_F_ord5(iF+1,jF,kF,ex)]-F168*fh[idx_fh_F_ord5(iF+2,jF,kF,ex)]
+F32*fh[idx_fh_F_ord5(iF+3,jF,kF,ex)]-F3*fh[idx_fh_F_ord5(iF+4,jF,kF,ex)]);
else if ((i0-2)>=iminF && i0<=ex1-4) // 6th centered
f_rhs[p] += sfx * d60dx * (
-fh[idx_fh_F_ord5(iF-3,jF,kF,ex)]+F9*fh[idx_fh_F_ord5(iF-2,jF,kF,ex)]
-F45*fh[idx_fh_F_ord5(iF-1,jF,kF,ex)]+F45*fh[idx_fh_F_ord5(iF+1,jF,kF,ex)]
-F9*fh[idx_fh_F_ord5(iF+2,jF,kF,ex)]+fh[idx_fh_F_ord5(iF+3,jF,kF,ex)]);
else if ((i0-1)>=iminF && i0<=ex1-3) // 4th centered
f_rhs[p] += sfx * d12dx * (
fh[idx_fh_F_ord5(iF-2,jF,kF,ex)]-EIT*fh[idx_fh_F_ord5(iF-1,jF,kF,ex)]
+EIT*fh[idx_fh_F_ord5(iF+1,jF,kF,ex)]-fh[idx_fh_F_ord5(iF+2,jF,kF,ex)]);
else if (i0>=iminF && i0<=ex1-2) // 2nd centered
f_rhs[p] += sfx * d2dx * (
-fh[idx_fh_F_ord5(iF-1,jF,kF,ex)]+fh[idx_fh_F_ord5(iF+1,jF,kF,ex)]);
}
const double sfy = Sfy[p];
if (sfy > ZEO) {
if (j0<=ex2-6 && (j0-2)>=jminF)
f_rhs[p] += sfy * d840dy*(-F5*fh[idx_fh_F_ord5(iF,jF-3,kF,ex)]+F60*fh[idx_fh_F_ord5(iF,jF-2,kF,ex)]-F420*fh[idx_fh_F_ord5(iF,jF-1,kF,ex)]-F378*fh[idx_fh_F_ord5(iF,jF,kF,ex)]+F1050*fh[idx_fh_F_ord5(iF,jF+1,kF,ex)]-F420*fh[idx_fh_F_ord5(iF,jF+2,kF,ex)]+F140*fh[idx_fh_F_ord5(iF,jF+3,kF,ex)]-F30*fh[idx_fh_F_ord5(iF,jF+4,kF,ex)]+F3*fh[idx_fh_F_ord5(iF,jF+5,kF,ex)]);
else if (j0<=ex2-5 && (j0-3)>=jminF)
f_rhs[p] += sfy * d840dy*(+F3*fh[idx_fh_F_ord5(iF,jF-4,kF,ex)]-F32*fh[idx_fh_F_ord5(iF,jF-3,kF,ex)]+F168*fh[idx_fh_F_ord5(iF,jF-2,kF,ex)]-F672*fh[idx_fh_F_ord5(iF,jF-1,kF,ex)]+F672*fh[idx_fh_F_ord5(iF,jF+1,kF,ex)]-F168*fh[idx_fh_F_ord5(iF,jF+2,kF,ex)]+F32*fh[idx_fh_F_ord5(iF,jF+3,kF,ex)]-F3*fh[idx_fh_F_ord5(iF,jF+4,kF,ex)]);
else if (j0<=ex2-4 && (j0-2)>=jminF)
f_rhs[p] += sfy * d60dy*(-fh[idx_fh_F_ord5(iF,jF-3,kF,ex)]+F9*fh[idx_fh_F_ord5(iF,jF-2,kF,ex)]-F45*fh[idx_fh_F_ord5(iF,jF-1,kF,ex)]+F45*fh[idx_fh_F_ord5(iF,jF+1,kF,ex)]-F9*fh[idx_fh_F_ord5(iF,jF+2,kF,ex)]+fh[idx_fh_F_ord5(iF,jF+3,kF,ex)]);
else if (j0<=ex2-3 && (j0-1)>=jminF)
f_rhs[p] += sfy * d12dy*(fh[idx_fh_F_ord5(iF,jF-2,kF,ex)]-EIT*fh[idx_fh_F_ord5(iF,jF-1,kF,ex)]+EIT*fh[idx_fh_F_ord5(iF,jF+1,kF,ex)]-fh[idx_fh_F_ord5(iF,jF+2,kF,ex)]);
else if (j0<=ex2-2 && j0>=jminF)
f_rhs[p] += sfy * d2dy*(-fh[idx_fh_F_ord5(iF,jF-1,kF,ex)]+fh[idx_fh_F_ord5(iF,jF+1,kF,ex)]);
} else if (sfy < ZEO) {
if ((j0-4)>=jminF && j0<=ex2-4)
f_rhs[p] -= sfy * d840dy*(-F5*fh[idx_fh_F_ord5(iF,jF+3,kF,ex)]+F60*fh[idx_fh_F_ord5(iF,jF+2,kF,ex)]-F420*fh[idx_fh_F_ord5(iF,jF+1,kF,ex)]-F378*fh[idx_fh_F_ord5(iF,jF,kF,ex)]+F1050*fh[idx_fh_F_ord5(iF,jF-1,kF,ex)]-F420*fh[idx_fh_F_ord5(iF,jF-2,kF,ex)]+F140*fh[idx_fh_F_ord5(iF,jF-3,kF,ex)]-F30*fh[idx_fh_F_ord5(iF,jF-4,kF,ex)]+F3*fh[idx_fh_F_ord5(iF,jF-5,kF,ex)]);
else if ((j0-3)>=jminF && j0<=ex2-5)
f_rhs[p] += sfy * d840dy*(+F3*fh[idx_fh_F_ord5(iF,jF-4,kF,ex)]-F32*fh[idx_fh_F_ord5(iF,jF-3,kF,ex)]+F168*fh[idx_fh_F_ord5(iF,jF-2,kF,ex)]-F672*fh[idx_fh_F_ord5(iF,jF-1,kF,ex)]+F672*fh[idx_fh_F_ord5(iF,jF+1,kF,ex)]-F168*fh[idx_fh_F_ord5(iF,jF+2,kF,ex)]+F32*fh[idx_fh_F_ord5(iF,jF+3,kF,ex)]-F3*fh[idx_fh_F_ord5(iF,jF+4,kF,ex)]);
else if ((j0-2)>=jminF && j0<=ex2-4)
f_rhs[p] += sfy * d60dy*(-fh[idx_fh_F_ord5(iF,jF-3,kF,ex)]+F9*fh[idx_fh_F_ord5(iF,jF-2,kF,ex)]-F45*fh[idx_fh_F_ord5(iF,jF-1,kF,ex)]+F45*fh[idx_fh_F_ord5(iF,jF+1,kF,ex)]-F9*fh[idx_fh_F_ord5(iF,jF+2,kF,ex)]+fh[idx_fh_F_ord5(iF,jF+3,kF,ex)]);
else if ((j0-1)>=jminF && j0<=ex2-3)
f_rhs[p] += sfy * d12dy*(fh[idx_fh_F_ord5(iF,jF-2,kF,ex)]-EIT*fh[idx_fh_F_ord5(iF,jF-1,kF,ex)]+EIT*fh[idx_fh_F_ord5(iF,jF+1,kF,ex)]-fh[idx_fh_F_ord5(iF,jF+2,kF,ex)]);
else if (j0>=jminF && j0<=ex2-2)
f_rhs[p] += sfy * d2dy*(-fh[idx_fh_F_ord5(iF,jF-1,kF,ex)]+fh[idx_fh_F_ord5(iF,jF+1,kF,ex)]);
}
const double sfz = Sfz[p];
if (sfz > ZEO) {
if (k0<=ex3-6 && (k0-2)>=kminF)
f_rhs[p] += sfz * d840dz*(-F5*fh[idx_fh_F_ord5(iF,jF,kF-3,ex)]+F60*fh[idx_fh_F_ord5(iF,jF,kF-2,ex)]-F420*fh[idx_fh_F_ord5(iF,jF,kF-1,ex)]-F378*fh[idx_fh_F_ord5(iF,jF,kF,ex)]+F1050*fh[idx_fh_F_ord5(iF,jF,kF+1,ex)]-F420*fh[idx_fh_F_ord5(iF,jF,kF+2,ex)]+F140*fh[idx_fh_F_ord5(iF,jF,kF+3,ex)]-F30*fh[idx_fh_F_ord5(iF,jF,kF+4,ex)]+F3*fh[idx_fh_F_ord5(iF,jF,kF+5,ex)]);
else if (k0<=ex3-5 && (k0-3)>=kminF)
f_rhs[p] += sfz * d840dz*(+F3*fh[idx_fh_F_ord5(iF,jF,kF-4,ex)]-F32*fh[idx_fh_F_ord5(iF,jF,kF-3,ex)]+F168*fh[idx_fh_F_ord5(iF,jF,kF-2,ex)]-F672*fh[idx_fh_F_ord5(iF,jF,kF-1,ex)]+F672*fh[idx_fh_F_ord5(iF,jF,kF+1,ex)]-F168*fh[idx_fh_F_ord5(iF,jF,kF+2,ex)]+F32*fh[idx_fh_F_ord5(iF,jF,kF+3,ex)]-F3*fh[idx_fh_F_ord5(iF,jF,kF+4,ex)]);
else if (k0<=ex3-4 && (k0-2)>=kminF)
f_rhs[p] += sfz * d60dz*(-fh[idx_fh_F_ord5(iF,jF,kF-3,ex)]+F9*fh[idx_fh_F_ord5(iF,jF,kF-2,ex)]-F45*fh[idx_fh_F_ord5(iF,jF,kF-1,ex)]+F45*fh[idx_fh_F_ord5(iF,jF,kF+1,ex)]-F9*fh[idx_fh_F_ord5(iF,jF,kF+2,ex)]+fh[idx_fh_F_ord5(iF,jF,kF+3,ex)]);
else if (k0<=ex3-3 && (k0-1)>=kminF)
f_rhs[p] += sfz * d12dz*(fh[idx_fh_F_ord5(iF,jF,kF-2,ex)]-EIT*fh[idx_fh_F_ord5(iF,jF,kF-1,ex)]+EIT*fh[idx_fh_F_ord5(iF,jF,kF+1,ex)]-fh[idx_fh_F_ord5(iF,jF,kF+2,ex)]);
else if (k0<=ex3-2 && k0>=kminF)
f_rhs[p] += sfz * d2dz*(-fh[idx_fh_F_ord5(iF,jF,kF-1,ex)]+fh[idx_fh_F_ord5(iF,jF,kF+1,ex)]);
} else if (sfz < ZEO) {
if ((k0-4)>=kminF && k0<=ex3-4)
f_rhs[p] -= sfz * d840dz*(-F5*fh[idx_fh_F_ord5(iF,jF,kF+3,ex)]+F60*fh[idx_fh_F_ord5(iF,jF,kF+2,ex)]-F420*fh[idx_fh_F_ord5(iF,jF,kF+1,ex)]-F378*fh[idx_fh_F_ord5(iF,jF,kF,ex)]+F1050*fh[idx_fh_F_ord5(iF,jF,kF-1,ex)]-F420*fh[idx_fh_F_ord5(iF,jF,kF-2,ex)]+F140*fh[idx_fh_F_ord5(iF,jF,kF-3,ex)]-F30*fh[idx_fh_F_ord5(iF,jF,kF-4,ex)]+F3*fh[idx_fh_F_ord5(iF,jF,kF-5,ex)]);
else if ((k0-3)>=kminF && k0<=ex3-5)
f_rhs[p] += sfz * d840dz*(+F3*fh[idx_fh_F_ord5(iF,jF,kF-4,ex)]-F32*fh[idx_fh_F_ord5(iF,jF,kF-3,ex)]+F168*fh[idx_fh_F_ord5(iF,jF,kF-2,ex)]-F672*fh[idx_fh_F_ord5(iF,jF,kF-1,ex)]+F672*fh[idx_fh_F_ord5(iF,jF,kF+1,ex)]-F168*fh[idx_fh_F_ord5(iF,jF,kF+2,ex)]+F32*fh[idx_fh_F_ord5(iF,jF,kF+3,ex)]-F3*fh[idx_fh_F_ord5(iF,jF,kF+4,ex)]);
else if ((k0-2)>=kminF && k0<=ex3-4)
f_rhs[p] += sfz * d60dz*(-fh[idx_fh_F_ord5(iF,jF,kF-3,ex)]+F9*fh[idx_fh_F_ord5(iF,jF,kF-2,ex)]-F45*fh[idx_fh_F_ord5(iF,jF,kF-1,ex)]+F45*fh[idx_fh_F_ord5(iF,jF,kF+1,ex)]-F9*fh[idx_fh_F_ord5(iF,jF,kF+2,ex)]+fh[idx_fh_F_ord5(iF,jF,kF+3,ex)]);
else if ((k0-1)>=kminF && k0<=ex3-3)
f_rhs[p] += sfz * d12dz*(fh[idx_fh_F_ord5(iF,jF,kF-2,ex)]-EIT*fh[idx_fh_F_ord5(iF,jF,kF-1,ex)]+EIT*fh[idx_fh_F_ord5(iF,jF,kF+1,ex)]-fh[idx_fh_F_ord5(iF,jF,kF+2,ex)]);
else if (k0>=kminF && k0<=ex3-2)
f_rhs[p] += sfz * d2dz*(-fh[idx_fh_F_ord5(iF,jF,kF-1,ex)]+fh[idx_fh_F_ord5(iF,jF,kF+1,ex)]);
}
}
}
}
free(fh);
return;
}
#else
#error "lopsided_c.C: unsupported ghost_width (must be 2, 3, 4, or 5)"
#endif
free(fh);
}

View File

@@ -1,17 +1,8 @@
#include "macrodef.h"
#include "tool.h"
/*
* C 版 lopsided_kodis — combined upwind advection + KO dissipation.
* Uses one shared symmetry_bd buffer (ord = ghost_width for both components)
* where a stable merged stencil is available. The 8th-order path delegates to
* the separate lopsided + kodis kernels, matching the original Fortran flow.
*
* FD order selection via ghost_width:
* 2 → 2nd-order advection + r=2 KO (cof=16, sign=-)
* 3 → 4th-order advection + r=3 KO (cof=64, sign=+)
* 4 → 6th-order advection + r=4 KO (cof=256, sign=-)
* 5 → 8th-order advection + r=5 KO (cof=1024, sign=+)
* Combined advection (lopsided) + KO dissipation (kodis).
* Uses one shared symmetry_bd buffer per call.
*/
void lopsided_kodis(const int ex[3],
const double *X, const double *Y, const double *Z,
@@ -19,286 +10,239 @@ void lopsided_kodis(const int ex[3],
const double *Sfx, const double *Sfy, const double *Sfz,
int Symmetry, const double SoA[3], double eps)
{
const double ZEO = 0.0, ONE = 1.0;
const double TWO = 2.0, F6 = 6.0, EIT = 8.0;
const double F3 = 3.0, F4 = 4.0, F5 = 5.0, F10 = 10.0, F12 = 12.0, F18 = 18.0;
const double F9 = 9.0, F45 = 45.0, F60 = 60.0;
const double F2 = 2.0, F15 = 15.0, F24 = 24.0, F30 = 30.0, F35 = 35.0;
const double F50 = 50.0, F77 = 77.0, F80 = 80.0, F100 = 100.0, F150 = 150.0;
const double F32 = 32.0, F168 = 168.0, F672 = 672.0, F840 = 840.0;
const double F140=140.0, F378=378.0, F420=420.0, F1050=1050.0;
const double ZEO = 0.0, ONE = 1.0, F3 = 3.0;
const double F6 = 6.0, F18 = 18.0;
const double F12 = 12.0, F10 = 10.0, EIT = 8.0;
const double SIX = 6.0, FIT = 15.0, TWT = 20.0;
const double cof = 64.0; // 2^6
const int NO_SYMM = 0, EQ_SYMM = 1;
const int ex1 = ex[0], ex2 = ex[1], ex3 = ex[2];
const double dX = X[1] - X[0];
const double dY = Y[1] - Y[0];
const double dZ = Z[1] - Z[0];
const int imaxF = ex1, jmaxF = ex2, kmaxF = ex3;
const double d12dx = ONE / F12 / dX;
const double d12dy = ONE / F12 / dY;
const double d12dz = ONE / F12 / dZ;
#if (ghost_width == 2)
{
const int ord = 2;
int iminF = 1, jminF = 1, kminF = 1;
if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -1;
if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = -1;
if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = -1;
const int imaxF = ex1;
const int jmaxF = ex2;
const int kmaxF = ex3;
const size_t nx = (size_t)ex1 + ord;
const size_t ny = (size_t)ex2 + ord;
const size_t nz = (size_t)ex3 + ord;
double *fh = (double*)malloc(nx*ny*nz*sizeof(double));
if (!fh) return;
symmetry_bd(ord, ex, f, fh, SoA);
int iminF = 1, jminF = 1, kminF = 1;
if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -2;
if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = -2;
if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = -2;
const double d2dx = ONE/TWO/dX, d2dy = ONE/TWO/dY, d2dz = ONE/TWO/dZ;
// fh for Fortran-style domain (-2:ex1,-2:ex2,-2:ex3)
const size_t nx = (size_t)ex1 + 3;
const size_t ny = (size_t)ex2 + 3;
const size_t nz = (size_t)ex3 + 3;
const size_t fh_size = nx * ny * nz;
/* ---- advection (2nd-order) ---- */
for (int k0 = 0; k0 <= ex3-2; ++k0) {
const int kF = k0+1;
for (int j0 = 0; j0 <= ex2-2; ++j0) {
const int jF = j0+1;
for (int i0 = 0; i0 <= ex1-2; ++i0) {
const int iF = i0+1;
const size_t p = idx_ex(i0,j0,k0,ex);
double *fh = (double*)malloc(fh_size * sizeof(double));
if (!fh) return;
const double sfx = Sfx[p];
if (sfx > ZEO) {
if (i0<=ex1-3) f_rhs[p] += sfx*d2dx*(-F3*fh[idx_fh_F_ord2(iF,jF,kF,ex)]+F4*fh[idx_fh_F_ord2(iF+1,jF,kF,ex)]-fh[idx_fh_F_ord2(iF+2,jF,kF,ex)]);
else if (i0<=ex1-2) f_rhs[p] += sfx*d2dx*(-fh[idx_fh_F_ord2(iF,jF,kF,ex)]+fh[idx_fh_F_ord2(iF+1,jF,kF,ex)]);
} else if (sfx < ZEO) {
if ((i0-1)>=iminF) f_rhs[p] -= sfx*d2dx*(-F3*fh[idx_fh_F_ord2(iF,jF,kF,ex)]+F4*fh[idx_fh_F_ord2(iF-1,jF,kF,ex)]-fh[idx_fh_F_ord2(iF-2,jF,kF,ex)]);
else if (i0>=iminF) f_rhs[p] -= sfx*d2dx*(-fh[idx_fh_F_ord2(iF,jF,kF,ex)]+fh[idx_fh_F_ord2(iF-1,jF,kF,ex)]);
symmetry_bd(3, ex, f, fh, SoA);
// Advection (same stencil logic as lopsided_c.C)
for (int k0 = 0; k0 <= ex3 - 2; ++k0) {
const int kF = k0 + 1;
for (int j0 = 0; j0 <= ex2 - 2; ++j0) {
const int jF = j0 + 1;
for (int i0 = 0; i0 <= ex1 - 2; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
const double sfx = Sfx[p];
if (sfx > ZEO) {
if (i0 <= ex1 - 4) {
f_rhs[p] += sfx * d12dx *
(-F3 * fh[idx_fh_F(iF - 1, jF, kF, ex)]
-F10 * fh[idx_fh_F(iF , jF, kF, ex)]
+F18 * fh[idx_fh_F(iF + 1, jF, kF, ex)]
-F6 * fh[idx_fh_F(iF + 2, jF, kF, ex)]
+ fh[idx_fh_F(iF + 3, jF, kF, ex)]);
} else if (i0 <= ex1 - 3) {
f_rhs[p] += sfx * d12dx *
( fh[idx_fh_F(iF - 2, jF, kF, ex)]
-EIT * fh[idx_fh_F(iF - 1, jF, kF, ex)]
+EIT * fh[idx_fh_F(iF + 1, jF, kF, ex)]
- fh[idx_fh_F(iF + 2, jF, kF, ex)]);
} else if (i0 <= ex1 - 2) {
f_rhs[p] -= sfx * d12dx *
(-F3 * fh[idx_fh_F(iF + 1, jF, kF, ex)]
-F10 * fh[idx_fh_F(iF , jF, kF, ex)]
+F18 * fh[idx_fh_F(iF - 1, jF, kF, ex)]
-F6 * fh[idx_fh_F(iF - 2, jF, kF, ex)]
+ fh[idx_fh_F(iF - 3, jF, kF, ex)]);
}
const double sfy = Sfy[p];
if (sfy > ZEO) {
if (j0<=ex2-3) f_rhs[p] += sfy*d2dy*(-F3*fh[idx_fh_F_ord2(iF,jF,kF,ex)]+F4*fh[idx_fh_F_ord2(iF,jF+1,kF,ex)]-fh[idx_fh_F_ord2(iF,jF+2,kF,ex)]);
else if (j0<=ex2-2) f_rhs[p] += sfy*d2dy*(-fh[idx_fh_F_ord2(iF,jF,kF,ex)]+fh[idx_fh_F_ord2(iF,jF+1,kF,ex)]);
} else if (sfy < ZEO) {
if ((j0-1)>=jminF) f_rhs[p] -= sfy*d2dy*(-F3*fh[idx_fh_F_ord2(iF,jF,kF,ex)]+F4*fh[idx_fh_F_ord2(iF,jF-1,kF,ex)]-fh[idx_fh_F_ord2(iF,jF-2,kF,ex)]);
else if (j0>=jminF) f_rhs[p] -= sfy*d2dy*(-fh[idx_fh_F_ord2(iF,jF,kF,ex)]+fh[idx_fh_F_ord2(iF,jF-1,kF,ex)]);
} else if (sfx < ZEO) {
if ((i0 - 2) >= iminF) {
f_rhs[p] -= sfx * d12dx *
(-F3 * fh[idx_fh_F(iF + 1, jF, kF, ex)]
-F10 * fh[idx_fh_F(iF , jF, kF, ex)]
+F18 * fh[idx_fh_F(iF - 1, jF, kF, ex)]
-F6 * fh[idx_fh_F(iF - 2, jF, kF, ex)]
+ fh[idx_fh_F(iF - 3, jF, kF, ex)]);
} else if ((i0 - 1) >= iminF) {
f_rhs[p] += sfx * d12dx *
( fh[idx_fh_F(iF - 2, jF, kF, ex)]
-EIT * fh[idx_fh_F(iF - 1, jF, kF, ex)]
+EIT * fh[idx_fh_F(iF + 1, jF, kF, ex)]
- fh[idx_fh_F(iF + 2, jF, kF, ex)]);
} else if (i0 >= iminF) {
f_rhs[p] += sfx * d12dx *
(-F3 * fh[idx_fh_F(iF - 1, jF, kF, ex)]
-F10 * fh[idx_fh_F(iF , jF, kF, ex)]
+F18 * fh[idx_fh_F(iF + 1, jF, kF, ex)]
-F6 * fh[idx_fh_F(iF + 2, jF, kF, ex)]
+ fh[idx_fh_F(iF + 3, jF, kF, ex)]);
}
const double sfz = Sfz[p];
if (sfz > ZEO) {
if (k0<=ex3-3) f_rhs[p] += sfz*d2dz*(-F3*fh[idx_fh_F_ord2(iF,jF,kF,ex)]+F4*fh[idx_fh_F_ord2(iF,jF,kF+1,ex)]-fh[idx_fh_F_ord2(iF,jF,kF+2,ex)]);
else if (k0<=ex3-2) f_rhs[p] += sfz*d2dz*(-fh[idx_fh_F_ord2(iF,jF,kF,ex)]+fh[idx_fh_F_ord2(iF,jF,kF+1,ex)]);
} else if (sfz < ZEO) {
if ((k0-1)>=kminF) f_rhs[p] -= sfz*d2dz*(-F3*fh[idx_fh_F_ord2(iF,jF,kF,ex)]+F4*fh[idx_fh_F_ord2(iF,jF,kF-1,ex)]-fh[idx_fh_F_ord2(iF,jF,kF-2,ex)]);
else if (k0>=kminF) f_rhs[p] -= sfz*d2dz*(-fh[idx_fh_F_ord2(iF,jF,kF,ex)]+fh[idx_fh_F_ord2(iF,jF,kF-1,ex)]);
}
const double sfy = Sfy[p];
if (sfy > ZEO) {
if (j0 <= ex2 - 4) {
f_rhs[p] += sfy * d12dy *
(-F3 * fh[idx_fh_F(iF, jF - 1, kF, ex)]
-F10 * fh[idx_fh_F(iF, jF , kF, ex)]
+F18 * fh[idx_fh_F(iF, jF + 1, kF, ex)]
-F6 * fh[idx_fh_F(iF, jF + 2, kF, ex)]
+ fh[idx_fh_F(iF, jF + 3, kF, ex)]);
} else if (j0 <= ex2 - 3) {
f_rhs[p] += sfy * d12dy *
( fh[idx_fh_F(iF, jF - 2, kF, ex)]
-EIT * fh[idx_fh_F(iF, jF - 1, kF, ex)]
+EIT * fh[idx_fh_F(iF, jF + 1, kF, ex)]
- fh[idx_fh_F(iF, jF + 2, kF, ex)]);
} else if (j0 <= ex2 - 2) {
f_rhs[p] -= sfy * d12dy *
(-F3 * fh[idx_fh_F(iF, jF + 1, kF, ex)]
-F10 * fh[idx_fh_F(iF, jF , kF, ex)]
+F18 * fh[idx_fh_F(iF, jF - 1, kF, ex)]
-F6 * fh[idx_fh_F(iF, jF - 2, kF, ex)]
+ fh[idx_fh_F(iF, jF - 3, kF, ex)]);
}
} else if (sfy < ZEO) {
if ((j0 - 2) >= jminF) {
f_rhs[p] -= sfy * d12dy *
(-F3 * fh[idx_fh_F(iF, jF + 1, kF, ex)]
-F10 * fh[idx_fh_F(iF, jF , kF, ex)]
+F18 * fh[idx_fh_F(iF, jF - 1, kF, ex)]
-F6 * fh[idx_fh_F(iF, jF - 2, kF, ex)]
+ fh[idx_fh_F(iF, jF - 3, kF, ex)]);
} else if ((j0 - 1) >= jminF) {
f_rhs[p] += sfy * d12dy *
( fh[idx_fh_F(iF, jF - 2, kF, ex)]
-EIT * fh[idx_fh_F(iF, jF - 1, kF, ex)]
+EIT * fh[idx_fh_F(iF, jF + 1, kF, ex)]
- fh[idx_fh_F(iF, jF + 2, kF, ex)]);
} else if (j0 >= jminF) {
f_rhs[p] += sfy * d12dy *
(-F3 * fh[idx_fh_F(iF, jF - 1, kF, ex)]
-F10 * fh[idx_fh_F(iF, jF , kF, ex)]
+F18 * fh[idx_fh_F(iF, jF + 1, kF, ex)]
-F6 * fh[idx_fh_F(iF, jF + 2, kF, ex)]
+ fh[idx_fh_F(iF, jF + 3, kF, ex)]);
}
}
const double sfz = Sfz[p];
if (sfz > ZEO) {
if (k0 <= ex3 - 4) {
f_rhs[p] += sfz * d12dz *
(-F3 * fh[idx_fh_F(iF, jF, kF - 1, ex)]
-F10 * fh[idx_fh_F(iF, jF, kF , ex)]
+F18 * fh[idx_fh_F(iF, jF, kF + 1, ex)]
-F6 * fh[idx_fh_F(iF, jF, kF + 2, ex)]
+ fh[idx_fh_F(iF, jF, kF + 3, ex)]);
} else if (k0 <= ex3 - 3) {
f_rhs[p] += sfz * d12dz *
( fh[idx_fh_F(iF, jF, kF - 2, ex)]
-EIT * fh[idx_fh_F(iF, jF, kF - 1, ex)]
+EIT * fh[idx_fh_F(iF, jF, kF + 1, ex)]
- fh[idx_fh_F(iF, jF, kF + 2, ex)]);
} else if (k0 <= ex3 - 2) {
f_rhs[p] -= sfz * d12dz *
(-F3 * fh[idx_fh_F(iF, jF, kF + 1, ex)]
-F10 * fh[idx_fh_F(iF, jF, kF , ex)]
+F18 * fh[idx_fh_F(iF, jF, kF - 1, ex)]
-F6 * fh[idx_fh_F(iF, jF, kF - 2, ex)]
+ fh[idx_fh_F(iF, jF, kF - 3, ex)]);
}
} else if (sfz < ZEO) {
if ((k0 - 2) >= kminF) {
f_rhs[p] -= sfz * d12dz *
(-F3 * fh[idx_fh_F(iF, jF, kF + 1, ex)]
-F10 * fh[idx_fh_F(iF, jF, kF , ex)]
+F18 * fh[idx_fh_F(iF, jF, kF - 1, ex)]
-F6 * fh[idx_fh_F(iF, jF, kF - 2, ex)]
+ fh[idx_fh_F(iF, jF, kF - 3, ex)]);
} else if ((k0 - 1) >= kminF) {
f_rhs[p] += sfz * d12dz *
( fh[idx_fh_F(iF, jF, kF - 2, ex)]
-EIT * fh[idx_fh_F(iF, jF, kF - 1, ex)]
+EIT * fh[idx_fh_F(iF, jF, kF + 1, ex)]
- fh[idx_fh_F(iF, jF, kF + 2, ex)]);
} else if (k0 >= kminF) {
f_rhs[p] += sfz * d12dz *
(-F3 * fh[idx_fh_F(iF, jF, kF - 1, ex)]
-F10 * fh[idx_fh_F(iF, jF, kF , ex)]
+F18 * fh[idx_fh_F(iF, jF, kF + 1, ex)]
-F6 * fh[idx_fh_F(iF, jF, kF + 2, ex)]
+ fh[idx_fh_F(iF, jF, kF + 3, ex)]);
}
}
}
}
/* ---- KO dissipation (r=2, cof=16, sign=-) ---- */
if (eps > ZEO) {
const double cof = 16.0;
const double F4k = 4.0, F6k = 6.0;
const int i0_lo = (iminF+1>0)?iminF+1:0, j0_lo=(jminF+1>0)?jminF+1:0, k0_lo=(kminF+1>0)?kminF+1:0;
const int i0_hi=imaxF-3, j0_hi=jmaxF-3, k0_hi=kmaxF-3;
if (!(i0_lo>i0_hi||j0_lo>j0_hi||k0_lo>k0_hi)) {
for (int k0=k0_lo;k0<=k0_hi;++k0) { const int kF=k0+1;
for (int j0=j0_lo;j0<=j0_hi;++j0) { const int jF=j0+1;
for (int i0=i0_lo;i0<=i0_hi;++i0) { const int iF=i0+1;
const size_t p=idx_ex(i0,j0,k0,ex);
const double Dx=((fh[idx_fh_F_ord2(iF-2,jF,kF,ex)]+fh[idx_fh_F_ord2(iF+2,jF,kF,ex)])-F4k*(fh[idx_fh_F_ord2(iF-1,jF,kF,ex)]+fh[idx_fh_F_ord2(iF+1,jF,kF,ex)])+F6k*fh[idx_fh_F_ord2(iF,jF,kF,ex)])/dX;
const double Dy=((fh[idx_fh_F_ord2(iF,jF-2,kF,ex)]+fh[idx_fh_F_ord2(iF,jF+2,kF,ex)])-F4k*(fh[idx_fh_F_ord2(iF,jF-1,kF,ex)]+fh[idx_fh_F_ord2(iF,jF+1,kF,ex)])+F6k*fh[idx_fh_F_ord2(iF,jF,kF,ex)])/dY;
const double Dz=((fh[idx_fh_F_ord2(iF,jF,kF-2,ex)]+fh[idx_fh_F_ord2(iF,jF,kF+2,ex)])-F4k*(fh[idx_fh_F_ord2(iF,jF,kF-1,ex)]+fh[idx_fh_F_ord2(iF,jF,kF+1,ex)])+F6k*fh[idx_fh_F_ord2(iF,jF,kF,ex)])/dZ;
f_rhs[p] -= (eps/cof)*(Dx+Dy+Dz);
}}}
}
}
free(fh);
return;
}
#elif (ghost_width == 3)
/* ---- 4th-order advection + r=3 KO (original code) ----------------- */
{
const int ord = 3;
int iminF = 1, jminF = 1, kminF = 1;
if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -2;
if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = -2;
if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = -2;
const size_t nx = (size_t)ex1 + ord;
const size_t ny = (size_t)ex2 + ord;
const size_t nz = (size_t)ex3 + ord;
double *fh = (double*)malloc(nx*ny*nz*sizeof(double));
if (!fh) return;
symmetry_bd(ord, ex, f, fh, SoA);
// KO dissipation (same domain restriction as kodiss_c.C)
if (eps > ZEO) {
const int i0_lo = (iminF + 2 > 0) ? iminF + 2 : 0;
const int j0_lo = (jminF + 2 > 0) ? jminF + 2 : 0;
const int k0_lo = (kminF + 2 > 0) ? kminF + 2 : 0;
const int i0_hi = imaxF - 4; // inclusive
const int j0_hi = jmaxF - 4;
const int k0_hi = kmaxF - 4;
const double d12dx = ONE/F12/dX, d12dy = ONE/F12/dY, d12dz = ONE/F12/dZ;
if (!(i0_lo > i0_hi || j0_lo > j0_hi || k0_lo > k0_hi)) {
for (int k0 = k0_lo; k0 <= k0_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j0_lo; j0 <= j0_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i0_lo; i0 <= i0_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
/* ---- advection ---- */
for (int k0 = 0; k0 <= ex3-2; ++k0) {
const int kF = k0+1;
for (int j0 = 0; j0 <= ex2-2; ++j0) {
const int jF = j0+1;
for (int i0 = 0; i0 <= ex1-2; ++i0) {
const int iF = i0+1;
const size_t p = idx_ex(i0,j0,k0,ex);
const double Dx_term =
((fh[idx_fh_F(iF - 3, jF, kF, ex)] + fh[idx_fh_F(iF + 3, jF, kF, ex)]) -
SIX * (fh[idx_fh_F(iF - 2, jF, kF, ex)] + fh[idx_fh_F(iF + 2, jF, kF, ex)]) +
FIT * (fh[idx_fh_F(iF - 1, jF, kF, ex)] + fh[idx_fh_F(iF + 1, jF, kF, ex)]) -
TWT * fh[idx_fh_F(iF, jF, kF, ex)]) / dX;
const double sfx = Sfx[p];
if (sfx > ZEO) {
if (i0 <= ex1-4)
f_rhs[p] += sfx*d12dx*(-F3*fh[idx_fh_F(iF-1,jF,kF,ex)]-F10*fh[idx_fh_F(iF,jF,kF,ex)]+F18*fh[idx_fh_F(iF+1,jF,kF,ex)]-F6*fh[idx_fh_F(iF+2,jF,kF,ex)]+fh[idx_fh_F(iF+3,jF,kF,ex)]);
else if (i0 <= ex1-3)
f_rhs[p] += sfx*d12dx*(fh[idx_fh_F(iF-2,jF,kF,ex)]-EIT*fh[idx_fh_F(iF-1,jF,kF,ex)]+EIT*fh[idx_fh_F(iF+1,jF,kF,ex)]-fh[idx_fh_F(iF+2,jF,kF,ex)]);
else if (i0 <= ex1-2)
f_rhs[p] -= sfx*d12dx*(-F3*fh[idx_fh_F(iF+1,jF,kF,ex)]-F10*fh[idx_fh_F(iF,jF,kF,ex)]+F18*fh[idx_fh_F(iF-1,jF,kF,ex)]-F6*fh[idx_fh_F(iF-2,jF,kF,ex)]+fh[idx_fh_F(iF-3,jF,kF,ex)]);
} else if (sfx < ZEO) {
if ((i0-2) >= iminF)
f_rhs[p] -= sfx*d12dx*(-F3*fh[idx_fh_F(iF+1,jF,kF,ex)]-F10*fh[idx_fh_F(iF,jF,kF,ex)]+F18*fh[idx_fh_F(iF-1,jF,kF,ex)]-F6*fh[idx_fh_F(iF-2,jF,kF,ex)]+fh[idx_fh_F(iF-3,jF,kF,ex)]);
else if ((i0-1) >= iminF)
f_rhs[p] += sfx*d12dx*(fh[idx_fh_F(iF-2,jF,kF,ex)]-EIT*fh[idx_fh_F(iF-1,jF,kF,ex)]+EIT*fh[idx_fh_F(iF+1,jF,kF,ex)]-fh[idx_fh_F(iF+2,jF,kF,ex)]);
else if (i0 >= iminF)
f_rhs[p] += sfx*d12dx*(-F3*fh[idx_fh_F(iF-1,jF,kF,ex)]-F10*fh[idx_fh_F(iF,jF,kF,ex)]+F18*fh[idx_fh_F(iF+1,jF,kF,ex)]-F6*fh[idx_fh_F(iF+2,jF,kF,ex)]+fh[idx_fh_F(iF+3,jF,kF,ex)]);
}
const double sfy = Sfy[p];
if (sfy > ZEO) {
if (j0<=ex2-4) f_rhs[p] += sfy*d12dy*(-F3*fh[idx_fh_F(iF,jF-1,kF,ex)]-F10*fh[idx_fh_F(iF,jF,kF,ex)]+F18*fh[idx_fh_F(iF,jF+1,kF,ex)]-F6*fh[idx_fh_F(iF,jF+2,kF,ex)]+fh[idx_fh_F(iF,jF+3,kF,ex)]);
else if (j0<=ex2-3) f_rhs[p] += sfy*d12dy*(fh[idx_fh_F(iF,jF-2,kF,ex)]-EIT*fh[idx_fh_F(iF,jF-1,kF,ex)]+EIT*fh[idx_fh_F(iF,jF+1,kF,ex)]-fh[idx_fh_F(iF,jF+2,kF,ex)]);
else if (j0<=ex2-2) f_rhs[p] -= sfy*d12dy*(-F3*fh[idx_fh_F(iF,jF+1,kF,ex)]-F10*fh[idx_fh_F(iF,jF,kF,ex)]+F18*fh[idx_fh_F(iF,jF-1,kF,ex)]-F6*fh[idx_fh_F(iF,jF-2,kF,ex)]+fh[idx_fh_F(iF,jF-3,kF,ex)]);
} else if (sfy < ZEO) {
if ((j0-2)>=jminF) f_rhs[p] -= sfy*d12dy*(-F3*fh[idx_fh_F(iF,jF+1,kF,ex)]-F10*fh[idx_fh_F(iF,jF,kF,ex)]+F18*fh[idx_fh_F(iF,jF-1,kF,ex)]-F6*fh[idx_fh_F(iF,jF-2,kF,ex)]+fh[idx_fh_F(iF,jF-3,kF,ex)]);
else if ((j0-1)>=jminF) f_rhs[p] += sfy*d12dy*(fh[idx_fh_F(iF,jF-2,kF,ex)]-EIT*fh[idx_fh_F(iF,jF-1,kF,ex)]+EIT*fh[idx_fh_F(iF,jF+1,kF,ex)]-fh[idx_fh_F(iF,jF+2,kF,ex)]);
else if (j0>=jminF) f_rhs[p] += sfy*d12dy*(-F3*fh[idx_fh_F(iF,jF-1,kF,ex)]-F10*fh[idx_fh_F(iF,jF,kF,ex)]+F18*fh[idx_fh_F(iF,jF+1,kF,ex)]-F6*fh[idx_fh_F(iF,jF+2,kF,ex)]+fh[idx_fh_F(iF,jF+3,kF,ex)]);
}
const double sfz = Sfz[p];
if (sfz > ZEO) {
if (k0<=ex3-4) f_rhs[p] += sfz*d12dz*(-F3*fh[idx_fh_F(iF,jF,kF-1,ex)]-F10*fh[idx_fh_F(iF,jF,kF,ex)]+F18*fh[idx_fh_F(iF,jF,kF+1,ex)]-F6*fh[idx_fh_F(iF,jF,kF+2,ex)]+fh[idx_fh_F(iF,jF,kF+3,ex)]);
else if (k0<=ex3-3) f_rhs[p] += sfz*d12dz*(fh[idx_fh_F(iF,jF,kF-2,ex)]-EIT*fh[idx_fh_F(iF,jF,kF-1,ex)]+EIT*fh[idx_fh_F(iF,jF,kF+1,ex)]-fh[idx_fh_F(iF,jF,kF+2,ex)]);
else if (k0<=ex3-2) f_rhs[p] -= sfz*d12dz*(-F3*fh[idx_fh_F(iF,jF,kF+1,ex)]-F10*fh[idx_fh_F(iF,jF,kF,ex)]+F18*fh[idx_fh_F(iF,jF,kF-1,ex)]-F6*fh[idx_fh_F(iF,jF,kF-2,ex)]+fh[idx_fh_F(iF,jF,kF-3,ex)]);
} else if (sfz < ZEO) {
if ((k0-2)>=kminF) f_rhs[p] -= sfz*d12dz*(-F3*fh[idx_fh_F(iF,jF,kF+1,ex)]-F10*fh[idx_fh_F(iF,jF,kF,ex)]+F18*fh[idx_fh_F(iF,jF,kF-1,ex)]-F6*fh[idx_fh_F(iF,jF,kF-2,ex)]+fh[idx_fh_F(iF,jF,kF-3,ex)]);
else if ((k0-1)>=kminF) f_rhs[p] += sfz*d12dz*(fh[idx_fh_F(iF,jF,kF-2,ex)]-EIT*fh[idx_fh_F(iF,jF,kF-1,ex)]+EIT*fh[idx_fh_F(iF,jF,kF+1,ex)]-fh[idx_fh_F(iF,jF,kF+2,ex)]);
else if (k0>=kminF) f_rhs[p] += sfz*d12dz*(-F3*fh[idx_fh_F(iF,jF,kF-1,ex)]-F10*fh[idx_fh_F(iF,jF,kF,ex)]+F18*fh[idx_fh_F(iF,jF,kF+1,ex)]-F6*fh[idx_fh_F(iF,jF,kF+2,ex)]+fh[idx_fh_F(iF,jF,kF+3,ex)]);
const double Dy_term =
((fh[idx_fh_F(iF, jF - 3, kF, ex)] + fh[idx_fh_F(iF, jF + 3, kF, ex)]) -
SIX * (fh[idx_fh_F(iF, jF - 2, kF, ex)] + fh[idx_fh_F(iF, jF + 2, kF, ex)]) +
FIT * (fh[idx_fh_F(iF, jF - 1, kF, ex)] + fh[idx_fh_F(iF, jF + 1, kF, ex)]) -
TWT * fh[idx_fh_F(iF, jF, kF, ex)]) / dY;
const double Dz_term =
((fh[idx_fh_F(iF, jF, kF - 3, ex)] + fh[idx_fh_F(iF, jF, kF + 3, ex)]) -
SIX * (fh[idx_fh_F(iF, jF, kF - 2, ex)] + fh[idx_fh_F(iF, jF, kF + 2, ex)]) +
FIT * (fh[idx_fh_F(iF, jF, kF - 1, ex)] + fh[idx_fh_F(iF, jF, kF + 1, ex)]) -
TWT * fh[idx_fh_F(iF, jF, kF, ex)]) / dZ;
f_rhs[p] += (eps / cof) * (Dx_term + Dy_term + Dz_term);
}
}
}
}
/* ---- KO dissipation (r=3, cof=64, sign=+) ---- */
if (eps > ZEO) {
const double cof = 64.0;
const double SIX = 6.0, FIT = 15.0, TWT = 20.0;
const int i0_lo=(iminF+2>0)?iminF+2:0, j0_lo=(jminF+2>0)?jminF+2:0, k0_lo=(kminF+2>0)?kminF+2:0;
const int i0_hi=imaxF-4, j0_hi=jmaxF-4, k0_hi=kmaxF-4;
if (!(i0_lo>i0_hi||j0_lo>j0_hi||k0_lo>k0_hi)) {
for (int k0=k0_lo;k0<=k0_hi;++k0) { const int kF=k0+1;
for (int j0=j0_lo;j0<=j0_hi;++j0) { const int jF=j0+1;
for (int i0=i0_lo;i0<=i0_hi;++i0) { const int iF=i0+1;
const size_t p=idx_ex(i0,j0,k0,ex);
const double Dx=((fh[idx_fh_F(iF-3,jF,kF,ex)]+fh[idx_fh_F(iF+3,jF,kF,ex)])-SIX*(fh[idx_fh_F(iF-2,jF,kF,ex)]+fh[idx_fh_F(iF+2,jF,kF,ex)])+FIT*(fh[idx_fh_F(iF-1,jF,kF,ex)]+fh[idx_fh_F(iF+1,jF,kF,ex)])-TWT*fh[idx_fh_F(iF,jF,kF,ex)])/dX;
const double Dy=((fh[idx_fh_F(iF,jF-3,kF,ex)]+fh[idx_fh_F(iF,jF+3,kF,ex)])-SIX*(fh[idx_fh_F(iF,jF-2,kF,ex)]+fh[idx_fh_F(iF,jF+2,kF,ex)])+FIT*(fh[idx_fh_F(iF,jF-1,kF,ex)]+fh[idx_fh_F(iF,jF+1,kF,ex)])-TWT*fh[idx_fh_F(iF,jF,kF,ex)])/dY;
const double Dz=((fh[idx_fh_F(iF,jF,kF-3,ex)]+fh[idx_fh_F(iF,jF,kF+3,ex)])-SIX*(fh[idx_fh_F(iF,jF,kF-2,ex)]+fh[idx_fh_F(iF,jF,kF+2,ex)])+FIT*(fh[idx_fh_F(iF,jF,kF-1,ex)]+fh[idx_fh_F(iF,jF,kF+1,ex)])-TWT*fh[idx_fh_F(iF,jF,kF,ex)])/dZ;
f_rhs[p] += (eps/cof)*(Dx+Dy+Dz);
}}}
}
}
free(fh);
return;
}
#elif (ghost_width == 4)
{
const int ord = 4;
int iminF = 1, jminF = 1, kminF = 1;
if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -3;
if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = -3;
if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = -3;
const size_t nx = (size_t)ex1 + ord;
const size_t ny = (size_t)ex2 + ord;
const size_t nz = (size_t)ex3 + ord;
double *fh = (double*)malloc(nx*ny*nz*sizeof(double));
if (!fh) return;
symmetry_bd(ord, ex, f, fh, SoA);
const double d60dx=ONE/F60/dX, d60dy=ONE/F60/dY, d60dz=ONE/F60/dZ;
const double d12dx=ONE/F12/dX, d12dy=ONE/F12/dY, d12dz=ONE/F12/dZ;
const double d2dx=ONE/TWO/dX, d2dy=ONE/TWO/dY, d2dz=ONE/TWO/dZ;
/* ---- advection (6th-order lopsided) ---- */
for (int k0=0;k0<=ex3-2;++k0) { const int kF=k0+1;
for (int j0=0;j0<=ex2-2;++j0) { const int jF=j0+1;
for (int i0=0;i0<=ex1-2;++i0) { const int iF=i0+1;
const size_t p=idx_ex(i0,j0,k0,ex);
/* x */
const double sfx=Sfx[p];
if (sfx>ZEO) {
if (i0<=ex1-5&&(i0-1)>=iminF) f_rhs[p]+=sfx*d60dx*(+F2*fh[idx_fh_F_ord4(iF-2,jF,kF,ex)]-F24*fh[idx_fh_F_ord4(iF-1,jF,kF,ex)]-F35*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F80*fh[idx_fh_F_ord4(iF+1,jF,kF,ex)]-F30*fh[idx_fh_F_ord4(iF+2,jF,kF,ex)]+EIT*fh[idx_fh_F_ord4(iF+3,jF,kF,ex)]-fh[idx_fh_F_ord4(iF+4,jF,kF,ex)]);
else if (i0<=ex1-6&&i0>=iminF) f_rhs[p]+=sfx*d60dx*(-F10*fh[idx_fh_F_ord4(iF-1,jF,kF,ex)]-F77*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F150*fh[idx_fh_F_ord4(iF+1,jF,kF,ex)]-F100*fh[idx_fh_F_ord4(iF+2,jF,kF,ex)]+F50*fh[idx_fh_F_ord4(iF+3,jF,kF,ex)]-F15*fh[idx_fh_F_ord4(iF+4,jF,kF,ex)]+F2*fh[idx_fh_F_ord4(iF+5,jF,kF,ex)]);
else if (i0<=ex1-4&&(i0-2)>=iminF) f_rhs[p]+=sfx*d60dx*(-fh[idx_fh_F_ord4(iF-3,jF,kF,ex)]+F9*fh[idx_fh_F_ord4(iF-2,jF,kF,ex)]-F45*fh[idx_fh_F_ord4(iF-1,jF,kF,ex)]+F45*fh[idx_fh_F_ord4(iF+1,jF,kF,ex)]-F9*fh[idx_fh_F_ord4(iF+2,jF,kF,ex)]+fh[idx_fh_F_ord4(iF+3,jF,kF,ex)]);
else if (i0<=ex1-3&&(i0-1)>=iminF) f_rhs[p]+=sfx*d12dx*(fh[idx_fh_F_ord4(iF-2,jF,kF,ex)]-EIT*fh[idx_fh_F_ord4(iF-1,jF,kF,ex)]+EIT*fh[idx_fh_F_ord4(iF+1,jF,kF,ex)]-fh[idx_fh_F_ord4(iF+2,jF,kF,ex)]);
else if (i0<=ex1-2&&i0>=iminF) f_rhs[p]+=sfx*d2dx*(-fh[idx_fh_F_ord4(iF-1,jF,kF,ex)]+fh[idx_fh_F_ord4(iF+1,jF,kF,ex)]);
} else if (sfx<ZEO) {
if ((i0-3)>=iminF&&i0<=ex1-3) f_rhs[p]-=sfx*d60dx*(+F2*fh[idx_fh_F_ord4(iF+2,jF,kF,ex)]-F24*fh[idx_fh_F_ord4(iF+1,jF,kF,ex)]-F35*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F80*fh[idx_fh_F_ord4(iF-1,jF,kF,ex)]-F30*fh[idx_fh_F_ord4(iF-2,jF,kF,ex)]+EIT*fh[idx_fh_F_ord4(iF-3,jF,kF,ex)]-fh[idx_fh_F_ord4(iF-4,jF,kF,ex)]);
else if ((i0-4)>=iminF&&i0<=ex1-2) f_rhs[p]-=sfx*d60dx*(-F10*fh[idx_fh_F_ord4(iF+1,jF,kF,ex)]-F77*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F150*fh[idx_fh_F_ord4(iF-1,jF,kF,ex)]-F100*fh[idx_fh_F_ord4(iF-2,jF,kF,ex)]+F50*fh[idx_fh_F_ord4(iF-3,jF,kF,ex)]-F15*fh[idx_fh_F_ord4(iF-4,jF,kF,ex)]+F2*fh[idx_fh_F_ord4(iF-5,jF,kF,ex)]);
else if ((i0-2)>=iminF&&i0<=ex1-4) f_rhs[p]+=sfx*d60dx*(-fh[idx_fh_F_ord4(iF-3,jF,kF,ex)]+F9*fh[idx_fh_F_ord4(iF-2,jF,kF,ex)]-F45*fh[idx_fh_F_ord4(iF-1,jF,kF,ex)]+F45*fh[idx_fh_F_ord4(iF+1,jF,kF,ex)]-F9*fh[idx_fh_F_ord4(iF+2,jF,kF,ex)]+fh[idx_fh_F_ord4(iF+3,jF,kF,ex)]);
else if ((i0-1)>=iminF&&i0<=ex1-3) f_rhs[p]+=sfx*d12dx*(fh[idx_fh_F_ord4(iF-2,jF,kF,ex)]-EIT*fh[idx_fh_F_ord4(iF-1,jF,kF,ex)]+EIT*fh[idx_fh_F_ord4(iF+1,jF,kF,ex)]-fh[idx_fh_F_ord4(iF+2,jF,kF,ex)]);
else if (i0>=iminF&&i0<=ex1-2) f_rhs[p]+=sfx*d2dx*(-fh[idx_fh_F_ord4(iF-1,jF,kF,ex)]+fh[idx_fh_F_ord4(iF+1,jF,kF,ex)]);
}
/* y */
const double sfy=Sfy[p];
if (sfy>ZEO) {
if (j0<=ex2-5&&(j0-1)>=jminF) f_rhs[p]+=sfy*d60dy*(F2*fh[idx_fh_F_ord4(iF,jF-2,kF,ex)]-F24*fh[idx_fh_F_ord4(iF,jF-1,kF,ex)]-F35*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F80*fh[idx_fh_F_ord4(iF,jF+1,kF,ex)]-F30*fh[idx_fh_F_ord4(iF,jF+2,kF,ex)]+EIT*fh[idx_fh_F_ord4(iF,jF+3,kF,ex)]-fh[idx_fh_F_ord4(iF,jF+4,kF,ex)]);
else if (j0<=ex2-6&&j0>=jminF) f_rhs[p]+=sfy*d60dy*(-F10*fh[idx_fh_F_ord4(iF,jF-1,kF,ex)]-F77*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F150*fh[idx_fh_F_ord4(iF,jF+1,kF,ex)]-F100*fh[idx_fh_F_ord4(iF,jF+2,kF,ex)]+F50*fh[idx_fh_F_ord4(iF,jF+3,kF,ex)]-F15*fh[idx_fh_F_ord4(iF,jF+4,kF,ex)]+F2*fh[idx_fh_F_ord4(iF,jF+5,kF,ex)]);
else if (j0<=ex2-4&&(j0-2)>=jminF) f_rhs[p]+=sfy*d60dy*(-fh[idx_fh_F_ord4(iF,jF-3,kF,ex)]+F9*fh[idx_fh_F_ord4(iF,jF-2,kF,ex)]-F45*fh[idx_fh_F_ord4(iF,jF-1,kF,ex)]+F45*fh[idx_fh_F_ord4(iF,jF+1,kF,ex)]-F9*fh[idx_fh_F_ord4(iF,jF+2,kF,ex)]+fh[idx_fh_F_ord4(iF,jF+3,kF,ex)]);
else if (j0<=ex2-3&&(j0-1)>=jminF) f_rhs[p]+=sfy*d12dy*(fh[idx_fh_F_ord4(iF,jF-2,kF,ex)]-EIT*fh[idx_fh_F_ord4(iF,jF-1,kF,ex)]+EIT*fh[idx_fh_F_ord4(iF,jF+1,kF,ex)]-fh[idx_fh_F_ord4(iF,jF+2,kF,ex)]);
else if (j0<=ex2-2&&j0>=jminF) f_rhs[p]+=sfy*d2dy*(-fh[idx_fh_F_ord4(iF,jF-1,kF,ex)]+fh[idx_fh_F_ord4(iF,jF+1,kF,ex)]);
} else if (sfy<ZEO) {
if ((j0-3)>=jminF&&j0<=ex2-3) f_rhs[p]-=sfy*d60dy*(F2*fh[idx_fh_F_ord4(iF,jF+2,kF,ex)]-F24*fh[idx_fh_F_ord4(iF,jF+1,kF,ex)]-F35*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F80*fh[idx_fh_F_ord4(iF,jF-1,kF,ex)]-F30*fh[idx_fh_F_ord4(iF,jF-2,kF,ex)]+EIT*fh[idx_fh_F_ord4(iF,jF-3,kF,ex)]-fh[idx_fh_F_ord4(iF,jF-4,kF,ex)]);
else if ((j0-4)>=jminF&&j0<=ex2-2) f_rhs[p]-=sfy*d60dy*(-F10*fh[idx_fh_F_ord4(iF,jF+1,kF,ex)]-F77*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F150*fh[idx_fh_F_ord4(iF,jF-1,kF,ex)]-F100*fh[idx_fh_F_ord4(iF,jF-2,kF,ex)]+F50*fh[idx_fh_F_ord4(iF,jF-3,kF,ex)]-F15*fh[idx_fh_F_ord4(iF,jF-4,kF,ex)]+F2*fh[idx_fh_F_ord4(iF,jF-5,kF,ex)]);
else if ((j0-2)>=jminF&&j0<=ex2-4) f_rhs[p]+=sfy*d60dy*(-fh[idx_fh_F_ord4(iF,jF-3,kF,ex)]+F9*fh[idx_fh_F_ord4(iF,jF-2,kF,ex)]-F45*fh[idx_fh_F_ord4(iF,jF-1,kF,ex)]+F45*fh[idx_fh_F_ord4(iF,jF+1,kF,ex)]-F9*fh[idx_fh_F_ord4(iF,jF+2,kF,ex)]+fh[idx_fh_F_ord4(iF,jF+3,kF,ex)]);
else if ((j0-1)>=jminF&&j0<=ex2-3) f_rhs[p]+=sfy*d12dy*(fh[idx_fh_F_ord4(iF,jF-2,kF,ex)]-EIT*fh[idx_fh_F_ord4(iF,jF-1,kF,ex)]+EIT*fh[idx_fh_F_ord4(iF,jF+1,kF,ex)]-fh[idx_fh_F_ord4(iF,jF+2,kF,ex)]);
else if (j0>=jminF&&j0<=ex2-2) f_rhs[p]+=sfy*d2dy*(-fh[idx_fh_F_ord4(iF,jF-1,kF,ex)]+fh[idx_fh_F_ord4(iF,jF+1,kF,ex)]);
}
/* z */
const double sfz=Sfz[p];
if (sfz>ZEO) {
if (k0<=ex3-5&&(k0-1)>=kminF) f_rhs[p]+=sfz*d60dz*(F2*fh[idx_fh_F_ord4(iF,jF,kF-2,ex)]-F24*fh[idx_fh_F_ord4(iF,jF,kF-1,ex)]-F35*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F80*fh[idx_fh_F_ord4(iF,jF,kF+1,ex)]-F30*fh[idx_fh_F_ord4(iF,jF,kF+2,ex)]+EIT*fh[idx_fh_F_ord4(iF,jF,kF+3,ex)]-fh[idx_fh_F_ord4(iF,jF,kF+4,ex)]);
else if (k0<=ex3-6&&k0>=kminF) f_rhs[p]+=sfz*d60dz*(-F10*fh[idx_fh_F_ord4(iF,jF,kF-1,ex)]-F77*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F150*fh[idx_fh_F_ord4(iF,jF,kF+1,ex)]-F100*fh[idx_fh_F_ord4(iF,jF,kF+2,ex)]+F50*fh[idx_fh_F_ord4(iF,jF,kF+3,ex)]-F15*fh[idx_fh_F_ord4(iF,jF,kF+4,ex)]+F2*fh[idx_fh_F_ord4(iF,jF,kF+5,ex)]);
else if (k0<=ex3-4&&(k0-2)>=kminF) f_rhs[p]+=sfz*d60dz*(-fh[idx_fh_F_ord4(iF,jF,kF-3,ex)]+F9*fh[idx_fh_F_ord4(iF,jF,kF-2,ex)]-F45*fh[idx_fh_F_ord4(iF,jF,kF-1,ex)]+F45*fh[idx_fh_F_ord4(iF,jF,kF+1,ex)]-F9*fh[idx_fh_F_ord4(iF,jF,kF+2,ex)]+fh[idx_fh_F_ord4(iF,jF,kF+3,ex)]);
else if (k0<=ex3-3&&(k0-1)>=kminF) f_rhs[p]+=sfz*d12dz*(fh[idx_fh_F_ord4(iF,jF,kF-2,ex)]-EIT*fh[idx_fh_F_ord4(iF,jF,kF-1,ex)]+EIT*fh[idx_fh_F_ord4(iF,jF,kF+1,ex)]-fh[idx_fh_F_ord4(iF,jF,kF+2,ex)]);
else if (k0<=ex3-2&&k0>=kminF) f_rhs[p]+=sfz*d2dz*(-fh[idx_fh_F_ord4(iF,jF,kF-1,ex)]+fh[idx_fh_F_ord4(iF,jF,kF+1,ex)]);
} else if (sfz<ZEO) {
if ((k0-3)>=kminF&&k0<=ex3-3) f_rhs[p]-=sfz*d60dz*(F2*fh[idx_fh_F_ord4(iF,jF,kF+2,ex)]-F24*fh[idx_fh_F_ord4(iF,jF,kF+1,ex)]-F35*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F80*fh[idx_fh_F_ord4(iF,jF,kF-1,ex)]-F30*fh[idx_fh_F_ord4(iF,jF,kF-2,ex)]+EIT*fh[idx_fh_F_ord4(iF,jF,kF-3,ex)]-fh[idx_fh_F_ord4(iF,jF,kF-4,ex)]);
else if ((k0-4)>=kminF&&k0<=ex3-2) f_rhs[p]-=sfz*d60dz*(-F10*fh[idx_fh_F_ord4(iF,jF,kF+1,ex)]-F77*fh[idx_fh_F_ord4(iF,jF,kF,ex)]+F150*fh[idx_fh_F_ord4(iF,jF,kF-1,ex)]-F100*fh[idx_fh_F_ord4(iF,jF,kF-2,ex)]+F50*fh[idx_fh_F_ord4(iF,jF,kF-3,ex)]-F15*fh[idx_fh_F_ord4(iF,jF,kF-4,ex)]+F2*fh[idx_fh_F_ord4(iF,jF,kF-5,ex)]);
else if ((k0-2)>=kminF&&k0<=ex3-4) f_rhs[p]+=sfz*d60dz*(-fh[idx_fh_F_ord4(iF,jF,kF-3,ex)]+F9*fh[idx_fh_F_ord4(iF,jF,kF-2,ex)]-F45*fh[idx_fh_F_ord4(iF,jF,kF-1,ex)]+F45*fh[idx_fh_F_ord4(iF,jF,kF+1,ex)]-F9*fh[idx_fh_F_ord4(iF,jF,kF+2,ex)]+fh[idx_fh_F_ord4(iF,jF,kF+3,ex)]);
else if ((k0-1)>=kminF&&k0<=ex3-3) f_rhs[p]+=sfz*d12dz*(fh[idx_fh_F_ord4(iF,jF,kF-2,ex)]-EIT*fh[idx_fh_F_ord4(iF,jF,kF-1,ex)]+EIT*fh[idx_fh_F_ord4(iF,jF,kF+1,ex)]-fh[idx_fh_F_ord4(iF,jF,kF+2,ex)]);
else if (k0>=kminF&&k0<=ex3-2) f_rhs[p]+=sfz*d2dz*(-fh[idx_fh_F_ord4(iF,jF,kF-1,ex)]+fh[idx_fh_F_ord4(iF,jF,kF+1,ex)]);
}
}}}
/* ---- KO dissipation (r=4, cof=256, sign=-) ---- */
if (eps > ZEO) {
const double cof = 256.0;
const double F8k = 8.0, F28 = 28.0, F56 = 56.0, F70 = 70.0;
const int i0_lo=(iminF+3>0)?iminF+3:0, j0_lo=(jminF+3>0)?jminF+3:0, k0_lo=(kminF+3>0)?kminF+3:0;
const int i0_hi=imaxF-5, j0_hi=jmaxF-5, k0_hi=kmaxF-5;
if (!(i0_lo>i0_hi||j0_lo>j0_hi||k0_lo>k0_hi)) {
for (int k0=k0_lo;k0<=k0_hi;++k0) { const int kF=k0+1;
for (int j0=j0_lo;j0<=j0_hi;++j0) { const int jF=j0+1;
for (int i0=i0_lo;i0<=i0_hi;++i0) { const int iF=i0+1;
const size_t p=idx_ex(i0,j0,k0,ex);
const double Dx=((fh[idx_fh_F_ord4(iF-4,jF,kF,ex)]+fh[idx_fh_F_ord4(iF+4,jF,kF,ex)])-F8k*(fh[idx_fh_F_ord4(iF-3,jF,kF,ex)]+fh[idx_fh_F_ord4(iF+3,jF,kF,ex)])+F28*(fh[idx_fh_F_ord4(iF-2,jF,kF,ex)]+fh[idx_fh_F_ord4(iF+2,jF,kF,ex)])-F56*(fh[idx_fh_F_ord4(iF-1,jF,kF,ex)]+fh[idx_fh_F_ord4(iF+1,jF,kF,ex)])+F70*fh[idx_fh_F_ord4(iF,jF,kF,ex)])/dX;
const double Dy=((fh[idx_fh_F_ord4(iF,jF-4,kF,ex)]+fh[idx_fh_F_ord4(iF,jF+4,kF,ex)])-F8k*(fh[idx_fh_F_ord4(iF,jF-3,kF,ex)]+fh[idx_fh_F_ord4(iF,jF+3,kF,ex)])+F28*(fh[idx_fh_F_ord4(iF,jF-2,kF,ex)]+fh[idx_fh_F_ord4(iF,jF+2,kF,ex)])-F56*(fh[idx_fh_F_ord4(iF,jF-1,kF,ex)]+fh[idx_fh_F_ord4(iF,jF+1,kF,ex)])+F70*fh[idx_fh_F_ord4(iF,jF,kF,ex)])/dY;
const double Dz=((fh[idx_fh_F_ord4(iF,jF,kF-4,ex)]+fh[idx_fh_F_ord4(iF,jF,kF+4,ex)])-F8k*(fh[idx_fh_F_ord4(iF,jF,kF-3,ex)]+fh[idx_fh_F_ord4(iF,jF,kF+3,ex)])+F28*(fh[idx_fh_F_ord4(iF,jF,kF-2,ex)]+fh[idx_fh_F_ord4(iF,jF,kF+2,ex)])-F56*(fh[idx_fh_F_ord4(iF,jF,kF-1,ex)]+fh[idx_fh_F_ord4(iF,jF,kF+1,ex)])+F70*fh[idx_fh_F_ord4(iF,jF,kF,ex)])/dZ;
f_rhs[p] -= (eps/cof)*(Dx+Dy+Dz);
}}}
}
}
free(fh);
return;
}
#elif (ghost_width == 5)
{
lopsided(ex, X, Y, Z, f, f_rhs, Sfx, Sfy, Sfz, Symmetry, SoA);
if (eps > ZEO) kodis(ex, X, Y, Z, f, f_rhs, SoA, Symmetry, eps);
return;
}
#else
#error "lopsided_kodis_c.C: unsupported ghost_width (must be 2, 3, 4, or 5)"
#endif
free(fh);
}

View File

@@ -1,293 +1,270 @@
include makefile.inc
## polint(ordn=6) kernel selector:
## 1 (default): barycentric fast path
## 0 : fallback to Neville path
POLINT6_USE_BARY ?= 1
POLINT6_FLAG = -DPOLINT6_USE_BARYCENTRIC=$(POLINT6_USE_BARY)
## ABE build flags selected by PGO_MODE (set in makefile.inc, default: opt)
## make -> opt (PGO-guided, maximum performance)
## make PGO_MODE=instrument -> instrument (Phase 1: collect fresh profile data)
PROFDATA = /home/$(shell whoami)/AMSS-NCKU/pgo_profile/default.profdata
ifeq ($(TOOLCHAIN),intel)
OMP_FLAG = -qopenmp
ifeq ($(PGO_MODE),instrument)
## Intel Phase 1: instrumentation — omit -ipo/-fp-model fast=2 for faster build and numerical stability
CXXAPPFLAGS = -O3 -march=znver5 -fma -fprofile-instr-generate -ipo \
-Dfortran3 -Dnewc $(MKL_INC) $(INTERP_LB_FLAGS)
f90appflags = -O3 -march=znver5 -fma -fprofile-instr-generate -ipo \
-align array64byte -fpp $(MKL_INC) $(POLINT6_FLAG)
else
## opt (default): maximum performance with PGO profile data -fprofile-instr-use=$(PROFDATA) \
## PGO has been turned off, now tested and found to be negative optimization
## INTERP_LB_FLAGS has been turned off too, now tested and found to be negative optimization
CXXAPPFLAGS = -O3 -march=znver5 -fp-model fast=2 -fma -ipo \
-Dfortran3 -Dnewc $(MKL_INC) $(INTERP_LB_FLAGS)
f90appflags = -O3 -march=znver5 -fp-model fast=2 -fma -ipo \
-align array64byte -fpp $(MKL_INC) $(POLINT6_FLAG)
endif
TP_OPTFLAGS = -O3 -march=znver5 -fp-model fast=2 -fma -ipo \
-Dfortran3 -Dnewc $(MKL_INC)
else
## NVHPC defaults: mpicc/mpicxx/mpifort wrappers
## PGO_MODE is ignored in this branch.
OMP_FLAG = -mp
CXXAPPFLAGS = -O3 -march=znver5 -tp=host -Mcache_align -Mfma \
-Dfortran3 -Dnewc $(MKL_INC) $(INTERP_LB_FLAGS)
f90appflags = -O3 -march=znver5 -tp=host -Mcache_align -Mfma -Mpreprocess \
$(MKL_INC) $(POLINT6_FLAG)
TP_OPTFLAGS = -O3 -march=znver5 -tp=host -Mcache_align -Mfma \
-Dfortran3 -Dnewc $(MKL_INC)
endif
.SUFFIXES: .o .f90 .C .for .cu
.f90.o:
$(f90) $(f90appflags) -c $< -o $@
.C.o:
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
# ShellPatch.C uses OpenMP for setupintintstuff search loops
ShellPatch.o: ShellPatch.C
${CXX} $(CXXAPPFLAGS) $(OMP_FLAG) -c $< $(filein) -o $@
.for.o:
$(f77) -c $< -o $@
.cu.o:
$(Cu) $(CUDA_APP_FLAGS) -c $< -o $@ $(CUDA_LIB_PATH)
# CUDA rewrite of BSSN RHS (drop-in replacement for bssn_rhs_c + stencil helpers)
bssn_rhs_cuda.o: bssn_rhs_cuda.cu bssn_rhs.h macrodef.h fd_cuda_helpers.cuh
$(Cu) $(CUDA_APP_FLAGS) -c $< -o $@ $(CUDA_LIB_PATH)
# CUDA rewrite of BSSN Shell-Patch RHS (drop-in replacement for bssn_rhs_ss)
bssn_gpu_rhs_ss.o: bssn_gpu_rhs_ss.cu bssn_gpu.h gpu_rhsSS_mem.h bssn_macro.h macrodef.fh
$(Cu) $(CUDA_APP_FLAGS) -c $< -o $@ $(CUDA_LIB_PATH)
# CUDA rewrite of Z4C Cartesian RHS
z4c_rhs_cuda.o: z4c_rhs_cuda.cu z4c_rhs_cuda.h bssn_rhs.h macrodef.h ricci_gamma.h fd_cuda_helpers.cuh
$(Cu) $(CUDA_APP_FLAGS) -c $< -o $@ $(CUDA_LIB_PATH)
# C rewrite of BSSN RHS kernel and helpers
bssn_rhs_c.o: bssn_rhs_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
fderivs_c.o: fderivs_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
fdderivs_c.o: fdderivs_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
kodiss_c.o: kodiss_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
lopsided_c.o: lopsided_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
lopsided_kodis_c.o: lopsided_kodis_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
z4c_rhs_c.o: z4c_rhs_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
#interp_lb_profile.o: interp_lb_profile.C interp_lb_profile.h
# ${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
TwoPunctures.o: TwoPunctures.C
${CXX} $(TP_OPTFLAGS) $(OMP_FLAG) -c $< -o $@
TwoPunctureABE.o: TwoPunctureABE.C
${CXX} $(TP_OPTFLAGS) $(OMP_FLAG) -c $< -o $@
# Input files
## CUDA BSSN RHS switch
## 1 : use the rewritten CUDA bssn_rhs backend
## 0 : keep the normal CPU/Fortran selection below
USE_CUDA_BSSN ?= 0
USE_CUDA_Z4C ?= 0
AMSS_Z4C_MRBD ?= 0
include makefile.inc
-include AMSS_NCKU_build.mk
ABE_TYPE ?= $(shell awk '/^[[:space:]]*\#define[[:space:]]+ABEtype/ {print $$3; exit}' macrodef.h 2>/dev/null)
ifeq ($(USE_TRANSFER_CACHE),auto)
ifeq ($(ABE_TYPE),0)
EFFECTIVE_USE_TRANSFER_CACHE = 1
else
EFFECTIVE_USE_TRANSFER_CACHE = 0
endif
else
EFFECTIVE_USE_TRANSFER_CACHE = $(USE_TRANSFER_CACHE)
endif
ifeq ($(USE_CXX_ESCALAR_KERNEL),1)
ifeq ($(ABE_TYPE),1)
EFFECTIVE_USE_CXX_ESCALAR_KERNEL = 1
else
EFFECTIVE_USE_CXX_ESCALAR_KERNEL = 0
endif
else
EFFECTIVE_USE_CXX_ESCALAR_KERNEL = 0
endif
ifeq ($(EFFECTIVE_USE_CXX_ESCALAR_KERNEL),1)
ifeq ($(USE_CXX_KERNELS),0)
$(error USE_CXX_ESCALAR_KERNEL=1 requires USE_CXX_KERNELS=1 because bssn_escalar_rhs_c.C reuses the C BSSN kernel)
endif
endif
ifeq ($(USE_CXX_EM_KERNEL),1)
ifeq ($(ABE_TYPE),3)
EFFECTIVE_USE_CXX_EM_KERNEL = 1
else
EFFECTIVE_USE_CXX_EM_KERNEL = 0
endif
else
EFFECTIVE_USE_CXX_EM_KERNEL = 0
endif
ifeq ($(EFFECTIVE_USE_CXX_EM_KERNEL),1)
ifeq ($(USE_CXX_KERNELS),0)
$(error USE_CXX_EM_KERNEL=1 requires USE_CXX_KERNELS=1 because bssn_em_rhs_c.C reuses the C BSSN kernel)
endif
endif
EM_KERNEL_FLAG = -DBSSN_USE_EM_C_KERNEL=$(EFFECTIVE_USE_CXX_EM_KERNEL)
## polint(ordn=6) kernel selector:
## 1 (default): barycentric fast path
## 0 : fallback to Neville path
POLINT6_USE_BARY ?= 1
POLINT6_FLAG = -DPOLINT6_USE_BARYCENTRIC=$(POLINT6_USE_BARY)
TRANSFER_CACHE_FLAG = -DBSSN_USE_TRANSFER_CACHE=$(EFFECTIVE_USE_TRANSFER_CACHE)
ESCALAR_KERNEL_FLAG = -DBSSN_USE_ESCALAR_C_KERNEL=$(EFFECTIVE_USE_CXX_ESCALAR_KERNEL)
## ABE build flags selected by PGO_MODE (set in makefile.inc, default: opt)
## make -> opt (PGO-guided, maximum performance)
## make PGO_MODE=instrument -> instrument (Phase 1: collect fresh profile data)
PROFDATA = /home/$(shell whoami)/AMSS-NCKU/pgo_profile/default.profdata
ifeq ($(PGO_MODE),instrument)
## Phase 1: instrumentation — omit -ipo/-fp-model fast=2 for faster build and numerical stability
CXXAPPFLAGS = -O3 -xHost -fma -fprofile-instr-generate -ipo \
-Dfortran3 -Dnewc -I${MKLROOT}/include $(INTERP_LB_FLAGS) \
$(TRANSFER_CACHE_FLAG) $(ESCALAR_KERNEL_FLAG) $(EM_KERNEL_FLAG)
f90appflags = -O3 -xHost -fma -fprofile-instr-generate -ipo \
-align array64byte -fpp -I${MKLROOT}/include $(POLINT6_FLAG)
else
## opt (default): maximum performance with PGO profile data -fprofile-instr-use=$(PROFDATA) \
## PGO has been turned off, now tested and found to be negative optimization
## INTERP_LB_FLAGS has been turned off too, now tested and found to be negative optimization
CXXAPPFLAGS = -O3 -xHost -fp-model fast=2 -fma -ipo \
-Dfortran3 -Dnewc -I${MKLROOT}/include $(INTERP_LB_FLAGS) \
$(TRANSFER_CACHE_FLAG) $(ESCALAR_KERNEL_FLAG) $(EM_KERNEL_FLAG)
f90appflags = -O3 -xHost -fp-model fast=2 -fma -ipo \
-align array64byte -fpp -I${MKLROOT}/include $(POLINT6_FLAG)
endif
.SUFFIXES: .o .f90 .C .for .cu
.f90.o:
$(f90) $(f90appflags) -c $< -o $@
.C.o:
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
# ShellPatch.C uses OpenMP for setupintintstuff search loops
ShellPatch.o: ShellPatch.C
${CXX} $(CXXAPPFLAGS) $(OMP_FLAG) -c $< $(filein) -o $@
.for.o:
$(f77) -c $< -o $@
.cu.o:
$(Cu) $(CUDA_APP_FLAGS) -c $< -o $@ $(CUDA_LIB_PATH)
# C rewrite of BSSN RHS kernel and helpers
bssn_rhs_c.o: bssn_rhs_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
fderivs_c.o: fderivs_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
fdderivs_c.o: fdderivs_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
kodiss_c.o: kodiss_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
lopsided_c.o: lopsided_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
lopsided_kodis_c.o: lopsided_kodis_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
# C rewrite of shell-patch derivative kernels
fderivs_sh_c.o: fderivs_sh_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
fdderivs_sh_c.o: fdderivs_sh_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
fderivs_shc_c.o: fderivs_shc_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
fdderivs_shc_c.o: fdderivs_shc_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
kodiss_sh_c.o: kodiss_sh_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
bssn_em_rhs_c.o: bssn_em_rhs_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
z4c_rhs_c.o: z4c_rhs_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
#interp_lb_profile.o: interp_lb_profile.C interp_lb_profile.h
# ${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
## TwoPunctureABE uses fixed optimal flags with its own PGO profile, independent of CXXAPPFLAGS
TP_PROFDATA = /home/$(shell whoami)/AMSS-NCKU/pgo_profile/TwoPunctureABE.profdata
TP_OPTFLAGS = -O3 -xHost -fp-model fast=2 -fma -ipo \
-fprofile-instr-use=$(TP_PROFDATA) \
-Dfortran3 -Dnewc -I${MKLROOT}/include
TwoPunctures.o: TwoPunctures.C
${CXX} $(TP_OPTFLAGS) -qopenmp -c $< -o $@
TwoPunctureABE.o: TwoPunctureABE.C
${CXX} $(TP_OPTFLAGS) -qopenmp -c $< -o $@
# Input files
## Kernel implementation switch (set USE_CXX_KERNELS=0 to fall back to Fortran)
ifeq ($(USE_CXX_KERNELS),0)
# Fortran mode: no C rewrite files; bssn_rhs.o is included via F90FILES below
CFILES =
else
# C++ mode (default): C rewrite of bssn/bssn-escalar rhs and helper kernels
CFILES = bssn_rhs_c.o fderivs_c.o fdderivs_c.o kodiss_c.o lopsided_c.o lopsided_kodis_c.o
ifeq ($(EFFECTIVE_USE_CXX_ESCALAR_KERNEL),1)
CFILES += bssn_escalar_rhs_c.o
endif
ifeq ($(EFFECTIVE_USE_CXX_EM_KERNEL),1)
CFILES += bssn_em_rhs_c.o
endif
endif
ifeq ($(USE_CXX_Z4C_KERNELS),1)
CFILES += z4c_rhs_c.o
Z4C_F90_OBJ =
else
Z4C_F90_OBJ = Z4c_rhs.o
endif
## RK4 kernel switch (independent from USE_CXX_KERNELS)
ifeq ($(USE_CXX_RK4),1)
CFILES += rungekutta4_rout_c.o
RK4_F90_OBJ =
else
RK4_F90_OBJ = rungekutta4_rout.o
endif
## Shell-patch derivative kernel switch (independent from USE_CXX_KERNELS)
## 1 : use C++ rewrite of shell derivative functions (experimental)
## 0 : use original Fortran diff_new_sh.o and kodiss_sh.o (default)
USE_CXX_SHELL_KERNELS ?= 0
ifeq ($(USE_CXX_SHELL_KERNELS),1)
CFILES += fderivs_sh_c.o fdderivs_sh_c.o fderivs_shc_c.o fdderivs_shc_c.o kodiss_sh_c.o
SH_F90_OBJ =
else
SH_F90_OBJ = diff_new_sh.o kodiss_sh.o point_diff_new_sh.o
endif
C++FILES = ABE.o Ansorg.o Block.o misc.o monitor.o Parallel.o MPatch.o var.o\
cgh.o bssn_class.o surface_integral.o ShellPatch.o\
bssnEScalar_class.o perf.o Z4c_class.o NullShellPatch.o\
bssnEM_class.o cpbc_util.o z4c_rhs_point.o checkpoint.o\
Parallel_bam.o scalar_class.o transpbh.o NullShellPatch2.o\
NullShellPatch2_Evo.o writefile_f.o interp_lb_profile.o
C++FILES_GPU = ABE.o Ansorg.o Block.o misc.o monitor.o Parallel.o MPatch.o var.o\
cgh.o surface_integral.o ShellPatch.o\
bssnEScalar_class.o perf.o Z4c_class.o NullShellPatch.o\
bssnEM_class.o cpbc_util.o z4c_rhs_point.o checkpoint.o\
Parallel_bam.o scalar_class.o transpbh.o NullShellPatch2.o\
NullShellPatch2_Evo.o \
bssn_gpu_class.o bssn_step_gpu.o bssn_macro.o writefile_f.o
F90FILES_BASE = enforce_algebra.o fmisc.o initial_puncture.o prolongrestrict.o\
prolongrestrict_cell.o prolongrestrict_vertex.o\
$(RK4_F90_OBJ) diff_new.o kodiss.o\
lopsidediff.o sommerfeld_rout.o getnp4.o $(SH_F90_OBJ)\
shellfunctions.o bssn_rhs_ss.o Set_Rho_ADM.o\
getnp4EScalar.o bssnEScalar_rhs.o bssn_constraint.o ricci_gamma.o\
fadmquantites_bssn.o $(Z4C_F90_OBJ) Z4c_rhs_ss.o\
cpbc.o getnp4old.o NullEvol.o initial_null.o initial_maxwell.o\
getnpem2.o empart.o NullNews.o fourdcurvature.o\
bssn2adm.o adm_constraint.o adm_ricci_gamma.o\
scalar_rhs.o initial_scalar.o NullEvol2.o initial_null2.o\
NullNews2.o tool_f.o
ifeq ($(USE_CXX_KERNELS),0)
# Fortran mode: include original bssn_rhs.o
F90FILES = $(F90FILES_BASE) bssn_rhs.o
else
# C++ mode (default): bssn_rhs.o replaced by C++ kernel
F90FILES = $(F90FILES_BASE)
endif
F77FILES = zbesh.o
AHFDOBJS = expansion.o expansion_Jacobian.o patch.o coords.o patch_info.o patch_interp.o patch_system.o \
tgrid.o fd_grid.o ghost_zone.o array.o round.o norm.o fuzzy.o error_exit.o miscfp.o \
linear_map.o cpm_map.o BH_diagnostics.o setup.o horizon_sequence.o find_horizons.o \
initial_guess.o Newton.o Jacobian.o ilucg.o IntPnts0.o IntPnts.o
TwoPunctureFILES = TwoPunctureABE.o TwoPunctures.o
CUDAFILES = bssn_gpu.o bssn_gpu_rhs_ss.o
# file dependences
$(C++FILES) $(C++FILES_GPU) $(F90FILES) $(CFILES) $(AHFDOBJS) $(CUDAFILES): macrodef.fh
$(C++FILES): Block.h enforce_algebra.h fmisc.h initial_puncture.h macrodef.h\
misc.h monitor.h MyList.h Parallel.h MPatch.h prolongrestrict.h\
rungekutta4_rout.h var.h bssn_class.h bssn_rhs.h sommerfeld_rout.h\
cgh.h surface_integral.h ShellPatch.h shellfunctions.h perf.h\
fadmquantites_bssn.h cpbc.h getnp4.h initial_null.h NullEvol.h\
NullShellPatch.h initial_maxwell.h bssnEM_class.h getnpem2.h\
empart.h NullNews.h kodiss.h Parallel_bam.h ricci_gamma.h\
initial_null2.h NullShellPatch2.h
$(C++FILES_GPU): Block.h enforce_algebra.h fmisc.h initial_puncture.h macrodef.h\
misc.h monitor.h MyList.h Parallel.h MPatch.h prolongrestrict.h\
rungekutta4_rout.h var.h bssn_rhs.h sommerfeld_rout.h\
cgh.h surface_integral.h ShellPatch.h shellfunctions.h perf.h\
fadmquantites_bssn.h cpbc.h getnp4.h initial_null.h NullEvol.h\
NullShellPatch.h initial_maxwell.h bssnEM_class.h getnpem2.h\
empart.h NullNews.h kodiss.h Parallel_bam.h ricci_gamma.h\
initial_null2.h NullShellPatch2.h \
bssn_gpu_class.h bssn_macro.h
$(AHFDOBJS): cctk.h cctk_Config.h cctk_Types.h cctk_Constants.h myglobal.h
$(C++FILES) $(C++FILES_GPU) $(CFILES) $(AHFDOBJS) $(CUDAFILES): macrodef.h
TwoPunctureFILES: TwoPunctures.h
$(CUDAFILES): bssn_gpu.h gpu_mem.h gpu_rhsSS_mem.h
misc.o : zbesh.o
# projects
ABE: $(C++FILES) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS)
$(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(LDLIBS)
ABEGPU: $(C++FILES_GPU) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES)
$(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES_GPU) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES) $(LDLIBS)
TwoPunctureABE: $(TwoPunctureFILES)
$(CLINKER) $(TP_OPTFLAGS) -qopenmp -o $@ $(TwoPunctureFILES) $(LDLIBS)
clean:
rm *.o ABE ABEGPU TwoPunctureABE make.log -f
CXXAPPFLAGS += -DUSE_CUDA_BSSN=$(USE_CUDA_BSSN)
CUDA_APP_FLAGS += -DUSE_CUDA_BSSN=$(USE_CUDA_BSSN)
CXXAPPFLAGS += -DUSE_CUDA_Z4C=$(USE_CUDA_Z4C)
CUDA_APP_FLAGS += -DUSE_CUDA_Z4C=$(USE_CUDA_Z4C)
CXXAPPFLAGS += -DAMSS_Z4C_MRBD=$(AMSS_Z4C_MRBD)
CUDA_APP_FLAGS += -DAMSS_Z4C_MRBD=$(AMSS_Z4C_MRBD)
## Kernel implementation switch (set USE_CXX_KERNELS=0 to fall back to Fortran)
ifeq ($(USE_CXX_KERNELS),0)
# Fortran mode: no C rewrite files; bssn_rhs.o is included via F90FILES below
CFILES_CPU =
else
# C++ mode (default): C rewrite of bssn_rhs and helper kernels
CFILES_CPU = bssn_rhs_c.o fderivs_c.o fdderivs_c.o kodiss_c.o lopsided_c.o lopsided_kodis_c.o
endif
CFILES_CUDA_BSSN = bssn_rhs_cuda.o bssn_gpu_rhs_ss.o
ifeq ($(USE_CUDA_BSSN),1)
CFILES = $(CFILES_CUDA_BSSN)
else
CFILES = $(CFILES_CPU)
endif
ifeq ($(USE_CUDA_Z4C),1)
CFILES += z4c_rhs_cuda.o
Z4C_F90_OBJ =
else ifeq ($(USE_CXX_Z4C_KERNELS),1)
CFILES += z4c_rhs_c.o
Z4C_F90_OBJ =
else
Z4C_F90_OBJ = Z4c_rhs.o
endif
## RK4 kernel switch (independent from USE_CXX_KERNELS)
ifeq ($(USE_CXX_RK4),1)
RK4_C_OBJ = rungekutta4_rout_c.o
RK4_F90_OBJ =
else
RK4_C_OBJ =
RK4_F90_OBJ = rungekutta4_rout.o
endif
CFILES += $(RK4_C_OBJ)
ABE_CUDA_CFILES = $(CFILES_CUDA_BSSN) z4c_rhs_cuda.o $(RK4_C_OBJ)
ABE_LDLIBS = $(LDLIBS)
ifeq ($(USE_CUDA_BSSN),1)
ABE_LDLIBS += -lcudart $(CUDA_LIB_PATH)
endif
ifeq ($(USE_CUDA_Z4C),1)
ABE_LDLIBS += -lcudart $(CUDA_LIB_PATH)
endif
C++FILES = ABE.o Ansorg.o Block.o misc.o monitor.o Parallel.o MPatch.o var.o\
cgh.o bssn_class.o surface_integral.o ShellPatch.o\
bssnEScalar_class.o perf.o Z4c_class.o NullShellPatch.o\
bssnEM_class.o cpbc_util.o z4c_rhs_point.o checkpoint.o\
Parallel_bam.o scalar_class.o transpbh.o NullShellPatch2.o\
NullShellPatch2_Evo.o writefile_f.o interp_lb_profile.o
#C++FILES_GPU = ABE.o Ansorg.o Block.o misc.o monitor.o Parallel.o MPatch.o var.o\
cgh.o surface_integral.o ShellPatch.o\
bssnEScalar_class.o perf.o Z4c_class.o NullShellPatch.o\
bssnEM_class.o cpbc_util.o z4c_rhs_point.o checkpoint.o\
Parallel_bam.o scalar_class.o transpbh.o NullShellPatch2.o\
NullShellPatch2_Evo.o \
bssn_gpu_class.o bssn_step_gpu.o bssn_macro.o writefile_f.o
F90FILES_BASE = enforce_algebra.o fmisc.o initial_puncture.o prolongrestrict.o\
prolongrestrict_cell.o prolongrestrict_vertex.o\
$(RK4_F90_OBJ) diff_new.o kodiss.o kodiss_sh.o\
lopsidediff.o sommerfeld_rout.o getnp4.o diff_new_sh.o\
shellfunctions.o bssn_rhs_ss.o Set_Rho_ADM.o\
getnp4EScalar.o bssnEScalar_rhs.o bssn_constraint.o ricci_gamma.o\
fadmquantites_bssn.o $(Z4C_F90_OBJ) Z4c_rhs_ss.o point_diff_new_sh.o\
cpbc.o getnp4old.o NullEvol.o initial_null.o initial_maxwell.o\
getnpem2.o empart.o NullNews.o fourdcurvature.o\
bssn2adm.o adm_constraint.o adm_ricci_gamma.o\
scalar_rhs.o initial_scalar.o NullEvol2.o initial_null2.o\
NullNews2.o tool_f.o
ifeq ($(USE_CXX_KERNELS),0)
# Fortran mode: include original bssn_rhs.o
F90FILES = $(F90FILES_BASE) bssn_rhs.o
else
# C++ mode (default): bssn_rhs.o replaced by C++ kernel
F90FILES = $(F90FILES_BASE)
endif
F77FILES = zbesh.o
AHFDOBJS = expansion.o expansion_Jacobian.o patch.o coords.o patch_info.o patch_interp.o patch_system.o \
tgrid.o fd_grid.o ghost_zone.o array.o round.o norm.o fuzzy.o error_exit.o miscfp.o \
linear_map.o cpm_map.o BH_diagnostics.o setup.o horizon_sequence.o find_horizons.o \
initial_guess.o Newton.o Jacobian.o ilucg.o IntPnts0.o IntPnts.o
TwoPunctureFILES = TwoPunctureABE.o TwoPunctures.o
#CUDAFILES = bssn_gpu.o bssn_gpu_rhs_ss.o
# file dependences
$(C++FILES) $(C++FILES_GPU) $(F90FILES) $(CFILES) $(ABE_CUDA_CFILES) $(AHFDOBJS) $(CUDAFILES): macrodef.fh
$(C++FILES): Block.h enforce_algebra.h fmisc.h initial_puncture.h macrodef.h\
misc.h monitor.h MyList.h Parallel.h MPatch.h prolongrestrict.h\
rungekutta4_rout.h var.h bssn_class.h bssn_rhs.h sommerfeld_rout.h\
cgh.h surface_integral.h ShellPatch.h shellfunctions.h perf.h\
fadmquantites_bssn.h cpbc.h getnp4.h initial_null.h NullEvol.h\
NullShellPatch.h initial_maxwell.h bssnEM_class.h getnpem2.h\
empart.h NullNews.h kodiss.h Parallel_bam.h ricci_gamma.h\
initial_null2.h NullShellPatch2.h
#$(C++FILES_GPU): Block.h enforce_algebra.h fmisc.h initial_puncture.h macrodef.h\
misc.h monitor.h MyList.h Parallel.h MPatch.h prolongrestrict.h\
rungekutta4_rout.h var.h bssn_rhs.h sommerfeld_rout.h\
cgh.h surface_integral.h ShellPatch.h shellfunctions.h perf.h\
fadmquantites_bssn.h cpbc.h getnp4.h initial_null.h NullEvol.h\
NullShellPatch.h initial_maxwell.h bssnEM_class.h getnpem2.h\
empart.h NullNews.h kodiss.h Parallel_bam.h ricci_gamma.h\
initial_null2.h NullShellPatch2.h \
bssn_gpu_class.h bssn_macro.h
$(AHFDOBJS): cctk.h cctk_Config.h cctk_Types.h cctk_Constants.h myglobal.h
$(C++FILES) $(C++FILES_GPU) $(CFILES) $(ABE_CUDA_CFILES) $(AHFDOBJS) $(CUDAFILES): macrodef.h
TwoPunctureFILES: TwoPunctures.h
$(CUDAFILES): bssn_gpu.h gpu_mem.h gpu_rhsSS_mem.h
misc.o : zbesh.o
# projects
ABE: $(C++FILES) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS)
$(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(ABE_LDLIBS)
ABE_CUDA: USE_CUDA_BSSN=1
ABE_CUDA: USE_CUDA_Z4C=1
ABE_CUDA: $(C++FILES) $(ABE_CUDA_CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS)
$(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES) $(ABE_CUDA_CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(LDLIBS) -lcudart $(CUDA_LIB_PATH)
#ABEGPU: $(C++FILES_GPU) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES)
# $(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES_GPU) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES) $(LDLIBS)
TwoPunctureABE: $(TwoPunctureFILES)
$(CLINKER) $(TP_OPTFLAGS) $(OMP_FLAG) -o $@ $(TwoPunctureFILES) $(LDLIBS)
clean:
rm *.o ABE ABE_CUDA ABEGPU TwoPunctureABE make.log -f

View File

@@ -1,28 +1,7 @@
## GCC version (commented out)
## filein = -I/usr/include -I/usr/lib/x86_64-linux-gnu/mpich/include -I/usr/lib/x86_64-linux-gnu/openmpi/lib/ -I/usr/lib/gcc/x86_64-linux-gnu/11/ -I/usr/include/c++/11/
## filein = -I/usr/include/ -I/usr/include/openmpi-x86_64/ -I/usr/lib/x86_64-linux-gnu/openmpi/include/ -I/usr/lib/x86_64-linux-gnu/openmpi/lib/ -I/usr/lib/gcc/x86_64-linux-gnu/11/ -I/usr/include/c++/11/
## LDLIBS = -L/usr/lib/x86_64-linux-gnu -L/usr/lib64 -L/usr/lib/gcc/x86_64-linux-gnu/11 -lgfortran -lmpi -lgfortran
## Intel oneAPI version with oneMKL (Optimized for performance)
filein = -I/usr/include/ -I${MKLROOT}/include
## Using sequential MKL (OpenMP disabled for better single-threaded performance)
## Added -lifcore for Intel Fortran runtime and -limf for Intel math library
LDLIBS = -L${MKLROOT}/lib -lmkl_intel_lp64 -lmkl_sequential -lmkl_core -lifcore -limf -lpthread -lm -ldl -liomp5
## Memory allocator switch
## 1 (default) : link Intel oneTBB allocator (libtbbmalloc)
## 0 : use system default allocator (ptmalloc)
USE_TBBMALLOC ?= 1
TBBMALLOC_SO ?= /home/intel/oneapi/2025.3/lib/libtbbmalloc.so
ifneq ($(wildcard $(TBBMALLOC_SO)),)
TBBMALLOC_LIBS = -Wl,--no-as-needed $(TBBMALLOC_SO) -Wl,--as-needed
else
TBBMALLOC_LIBS = -Wl,--no-as-needed -ltbbmalloc -Wl,--as-needed
endif
ifeq ($(USE_TBBMALLOC),1)
LDLIBS := $(TBBMALLOC_LIBS) $(LDLIBS)
endif
## Toolchain selection
## nvhpc : NVIDIA HPC SDK + CUDA-aware MPI (default)
## intel : Intel oneAPI toolchain (legacy path)
TOOLCHAIN ?= intel
## PGO build mode switch (ABE only; TwoPunctureABE always uses opt flags)
## opt : (default) maximum performance with PGO profile-guided optimization
@@ -43,6 +22,14 @@ else
INTERP_LB_FLAGS =
endif
MKLROOT ?= /home/intel/oneapi/mkl/latest
MKL_LIBDIR ?= $(MKLROOT)/lib/intel64
MKL_INC ?= -I$(MKLROOT)/include
NVHPC_ROOT ?= /home/nvidia/hpc_sdk/Linux_x86_64/25.11
CUDA_HOME ?= $(NVHPC_ROOT)/cuda
CUDA_ARCH ?= sm_80
## Kernel implementation switch
## 1 (default) : use C++ rewrite of bssn_rhs and helper kernels (faster)
## 0 : fall back to original Fortran kernels
@@ -53,36 +40,52 @@ USE_CXX_KERNELS ?= 1
## 0 : use original Fortran Z4c_rhs.o
USE_CXX_Z4C_KERNELS ?= 1
## BSSN-EScalar RHS switch
## 1 (default) : use BSSN-EScalar C wrapper on the normal patch path
## 0 : keep the original Fortran BSSN-EScalar RHS for precision-safe runs
## Note: this requires USE_CXX_KERNELS=1 because the wrapper reuses the C BSSN kernel.
USE_CXX_ESCALAR_KERNEL ?= 1
## BSSN-EM RHS switch
## 1 : use BSSN-EM C kernel (bssn_em_rhs_c.C) on the normal patch path
## 0 : keep the original Fortran empart.f90 RHS for the EM fields (default)
## Note: experimental, requires USE_CXX_KERNELS=1
USE_CXX_EM_KERNEL ?= 0
## Cached transfer switch
## auto (default): enable for BSSN vacuum, keep other paths on the safe uncached path
## 1 : force cached Sync/Restrict/OutBd transfer on evolution hot paths
## 0 : force the original uncached transfer path
USE_TRANSFER_CACHE ?= auto
## RK4 kernel implementation switch
## 1 (default) : use C/C++ rewrite of rungekutta4_rout (for optimization experiments)
## 0 : use original Fortran rungekutta4_rout.o
USE_CXX_RK4 ?= 1
## Memory allocator switch
## 1 (default) : link Intel oneTBB allocator (libtbbmalloc)
## 0 : use system default allocator (ptmalloc)
USE_TBBMALLOC ?= 1
TBBMALLOC_SO ?= /home/intel/oneapi/2025.3/lib/libtbbmalloc.so
ifneq ($(wildcard $(TBBMALLOC_SO)),)
TBBMALLOC_LIBS = -Wl,--no-as-needed $(TBBMALLOC_SO) -Wl,--as-needed
else
TBBMALLOC_LIBS = -Wl,--no-as-needed -ltbbmalloc -Wl,--as-needed
endif
ifeq ($(TOOLCHAIN),intel)
f90 = ifx
f77 = ifx
CXX = icpx
CC = icx
CLINKER = mpiicpx
filein = -I/usr/include/ $(MKL_INC) -I$(CUDA_HOME)/include
LDLIBS = -L$(MKL_LIBDIR) -Wl,-rpath,$(MKL_LIBDIR) \
-lmkl_intel_lp64 -lmkl_sequential -lmkl_core \
-lifcore -limf -liomp5 -lpthread -lm -ldl \
-L$(CUDA_HOME)/lib64 -Wl,-rpath,$(CUDA_HOME)/lib64 -lcuda -lcudart
else ifeq ($(TOOLCHAIN),nvhpc)
f90 = mpifort
f77 = mpifort
CXX = mpicxx
CC = mpicc
CLINKER = mpicxx
Cu = nvcc
CUDA_LIB_PATH = -L/usr/lib/cuda/lib64 -I/usr/include -I/usr/lib/cuda/include
#CUDA_APP_FLAGS = -c -g -O3 --ptxas-options=-v -arch compute_13 -code compute_13,sm_13 -Dfortran3 -Dnewc
CUDA_APP_FLAGS = -c -g -O3 --ptxas-options=-v -Dfortran3 -Dnewc
filein = -I/usr/include/ $(MKL_INC) -I$(CUDA_HOME)/include
LDLIBS = -L$(MKL_LIBDIR) -Wl,-rpath,$(MKL_LIBDIR) \
-lmkl_intel_lp64 -lmkl_sequential -lmkl_core \
-lpthread -lm -ldl \
-L$(CUDA_HOME)/lib64 -Wl,-rpath,$(CUDA_HOME)/lib64 -lcuda -lcudart \
-fortranlibs
endif
ifeq ($(USE_TBBMALLOC),1)
LDLIBS := $(TBBMALLOC_LIBS) $(LDLIBS)
endif
Cu = $(NVHPC_ROOT)/compilers/bin/nvcc
CUDA_LIB_PATH = -L$(CUDA_HOME)/lib64 -I$(CUDA_HOME)/include
CUDA_APP_FLAGS = -c -g -O3 --ptxas-options=-v -Dfortran3 -Dnewc -arch=$(CUDA_ARCH)

View File

@@ -46,45 +46,6 @@ static inline size_t idx_fh_F(int iF, int jF, int kF, const int ex[3]) {
return (size_t)ii + (size_t)jj * (size_t)nx + (size_t)kk * (size_t)nx * (size_t)ny;
}
/*
* fh 对应 Fortran: fh(0:ex1, 0:ex2, 0:ex3)
* ord=1 => shift=0
* iF/jF/kF 为 Fortran 索引 (0..ex)
*/
static inline size_t idx_fh_F_ord1(int iF, int jF, int kF, const int ex[3]) {
const int nx = ex[0] + 1; // ex1 + ord
const int ny = ex[1] + 1;
return (size_t)iF + (size_t)jF * (size_t)nx + (size_t)kF * (size_t)nx * (size_t)ny;
}
/*
* fh 对应 Fortran: fh(-3:ex1, -3:ex2, -3:ex3)
* ord=4 => shift=3
*/
static inline size_t idx_fh_F_ord4(int iF, int jF, int kF, const int ex[3]) {
const int shift = 3;
const int nx = ex[0] + 4; // ex1 + ord
const int ny = ex[1] + 4;
const int ii = iF + shift; // 0..ex1+3
const int jj = jF + shift; // 0..ex2+3
const int kk = kF + shift; // 0..ex3+3
return (size_t)ii + (size_t)jj * (size_t)nx + (size_t)kk * (size_t)nx * (size_t)ny;
}
/*
* fh 对应 Fortran: fh(-4:ex1, -4:ex2, -4:ex3)
* ord=5 => shift=4
*/
static inline size_t idx_fh_F_ord5(int iF, int jF, int kF, const int ex[3]) {
const int shift = 4;
const int nx = ex[0] + 5; // ex1 + ord
const int ny = ex[1] + 5;
const int ii = iF + shift; // 0..ex1+4
const int jj = jF + shift; // 0..ex2+4
const int kk = kF + shift; // 0..ex3+4
return (size_t)ii + (size_t)jj * (size_t)nx + (size_t)kk * (size_t)nx * (size_t)ny;
}
/*
* func: (1..extc1, 1..extc2, 1..extc3) 1-based in Fortran
* funcc: (-ord+1..extc1, -ord+1..extc2, -ord+1..extc3) in Fortran
@@ -270,10 +231,7 @@ static inline void symmetry_bd(int ord,
{
if (ord <= 0) return;
if (ord == 1) {
symmetry_bd_impl(1, 0, extc, func, funcc, SoA);
return;
}
/* Fast paths used by current C kernels: ord=2 (derivs), ord=3 (lopsided/KO). */
if (ord == 2) {
symmetry_bd_impl(2, 1, extc, func, funcc, SoA);
return;
@@ -282,91 +240,7 @@ static inline void symmetry_bd(int ord,
symmetry_bd_impl(3, 2, extc, func, funcc, SoA);
return;
}
if (ord == 4) {
symmetry_bd_impl(4, 3, extc, func, funcc, SoA);
return;
}
symmetry_bd_impl(ord, ord - 1, extc, func, funcc, SoA);
}
/*
* symmetry_stbd — shell-patch (staggered boundary) ghost fill.
*
* Fortran: funcc(-ord+1:extc1+ord, -ord+1:extc2+ord, extc3)
* Only 2 SoA values (x/y). No z symmetry fill.
* Ghost on BOTH positive and negative sides of x and y.
* Reflection uses i+2 (skips boundary) instead of i+1.
* nx = extc1 + 2*ord, ny = extc2 + 2*ord
*/
static inline void symmetry_stbd(int ord,
const int extc[3],
const double *func,
double *funcc,
const double SoA[2])
{
const int extc1 = extc[0], extc2 = extc[1], extc3 = extc[2];
const int nx = extc1 + 2 * ord;
const int ny = extc2 + 2 * ord;
const int sh = ord - 1;
const size_t snx = (size_t)nx;
const size_t splane = snx * (size_t)ny;
/* 1) Copy interior: funcc(1:extc1, 1:extc2, 1:extc3) = func */
for (int k0 = 0; k0 < extc3; ++k0) {
const double *src = func + (size_t)k0 * (size_t)extc2 * (size_t)extc1;
const size_t kbase = (size_t)k0 * splane;
for (int j0 = 0; j0 < extc2; ++j0) {
double *dst = funcc + kbase + (size_t)(sh + j0 + 1) * snx + (size_t)(sh + 1);
const double *s = src + (size_t)j0 * (size_t)extc1;
for (int i0 = 0; i0 < extc1; ++i0) dst[i0] = s[i0];
}
}
/* 2) x-direction ghost fill */
const double s1 = SoA[0];
for (int k0 = 0; k0 < extc3; ++k0) {
const size_t kbase = (size_t)k0 * splane;
for (int j0 = 0; j0 < extc2; ++j0) {
const size_t off = kbase + (size_t)(sh + j0 + 1) * snx;
/* left side: funcc(-i) = funcc(i+2) * s1 */
for (int i = 0; i < ord; ++i) {
funcc[off + (size_t)(sh - i)] = funcc[off + (size_t)(sh + i + 2)] * s1;
/* right side: funcc(extc1+1+i) = funcc(extc1-1-i) * s1 */
funcc[off + (size_t)(sh + extc1 + 1 + i)] = funcc[off + (size_t)(sh + extc1 - 1 - i)] * s1;
}
}
}
/* 3) y-direction ghost fill */
const double s2 = SoA[1];
for (int i = 0; i < nx; ++i) {
for (int k0 = 0; k0 < extc3; ++k0) {
const size_t kbase = (size_t)k0 * splane;
/* bottom: funcc(:,-i,:) = funcc(:,i+2,:) * s2 */
for (int jj = 0; jj < ord; ++jj) {
funcc[kbase + (size_t)(sh - jj) * snx + (size_t)i] =
funcc[kbase + (size_t)(sh + jj + 2) * snx + (size_t)i] * s2;
/* top: funcc(:,extc2+1+jj,:) = funcc(:,extc2-1-jj,:) * s2 */
funcc[kbase + (size_t)(sh + extc2 + 1 + jj) * snx + (size_t)i] =
funcc[kbase + (size_t)(sh + extc2 - 1 - jj) * snx + (size_t)i] * s2;
}
}
}
}
/*
* Indexing for shell fh buffer: Fortran fh(-ord+1:extc1+ord, -ord+1:extc2+ord, extc3)
* C 0-based: ii = iF + ord - 1
* nx = extc1 + 2*ord, ny = extc2 + 2*ord
*/
static inline size_t idx_fh_stbd(int iF, int jF, int kF, int ord, const int extc[3]) {
const int sh = ord - 1;
const int nx = extc[0] + 2 * ord;
const int ny = extc[1] + 2 * ord;
const int ii = iF + sh;
const int jj = jF + sh;
const int kk = kF - 1; // Fortran 1-based kF → C 0-based
return (size_t)ii + (size_t)jj * (size_t)nx + (size_t)kk * (size_t)nx * (size_t)ny;
}
#endif

View File

@@ -5206,15 +5206,15 @@ __device__ __forceinline__ double load_comm_state_cell_sym(const double * __rest
{
double s = 1.0;
if (x < 0) {
x = -x;
x = -x - 1;
s *= d_comm_state_soa[3 * state_index + 0];
}
if (y < 0) {
y = -y;
y = -y - 1;
s *= d_comm_state_soa[3 * state_index + 1];
}
if (z < 0) {
z = -z;
z = -z - 1;
s *= d_comm_state_soa[3 * state_index + 2];
}
const int src = x + y * nx + z * nx * ny;

224
code_modification_readme.md Normal file
View File

@@ -0,0 +1,224 @@
# Code Modification Readme — `asc26-plan-a`
**Baseline branch:** `baseline`
**Target branch:** `asc26-plan-a`
**Date:** 2026-05-19
---
## Overview
This branch delivers two major performance overhauls to the AMSS-NCKU numerical relativity codebase:
1. **TwoPunctureABE Multithreading** — OpenMP parallelization of the TwoPunctures initial-data solver, combined with a BLAS-driven spectral derivative engine, MKL/LAPACK integration, and C/C++ rewrites of hot Fortran kernel subroutines.
2. **ABE GPU Rewrite** — Complete replacement of the legacy `bssn_gpu_class` abstraction layer with direct, monolithic CUDA kernels for BSSN, Z4C, and Shell-Patch evolution, plus GPU-resident state management and CUDA-aware MPI.
**Total diff:** 84 files changed, +57,919 / 33,795 lines.
---
## Part 1 — TwoPunctureABE Multithreading
### 1.1 Spectral Derivative Engine: BLAS Matrix-Multiplication Rewrite
**Files:** `AMSS_NCKU_source/TwoPunctures.C`, `AMSS_NCKU_source/TwoPunctures.h`
The original `Derivatives_AB3` computed spectral derivatives (Chebyshev in A/B, Fourier in phi) with nested scalar loops over every grid point. The new `Derivatives_AB3_MatMul` expresses all derivatives as matrix-matrix products over pencil-shaped data slices, dispatched to Intel MKL `cblas_dgemm`.
- **Precomputed derivative matrices** — `precompute_derivative_matrices()` builds `D1_A`, `D2_A`, `D1_B`, `D2_B` (Chebyshev collocation derivative matrices) and `DF1_phi`, `DF2_phi` (Fourier derivative matrices) once at construction time.
- **Pencil-based GEMM** — data is gathered into 2D arrays where one dimension is the spectral direction and the other enumerates all remaining degrees of freedom (variables × orthogonal grid indices). Each derivative direction becomes a single `cblas_dgemm` call. The pure derivatives (d/dA, d/dB, d/dphi) and all mixed derivatives (d²/dAdB, d²/dAdphi, d²/dBdphi) are computed this way.
- **`build_cheb_deriv_matrices` / `build_fourier_deriv_matrices`** — construct the standard Chebyshev and Fourier collocation derivative matrices.
### 1.2 OpenMP Parallelization of TwoPunctures
**Files:** `AMSS_NCKU_source/TwoPunctures.C`, `AMSS_NCKU_source/TwoPunctures.h`
Three critical regions are parallelized:
| Region | Directive | Strategy |
|--------|-----------|----------|
| `F_of_v` residual evaluation | `#pragma omp parallel for collapse(3) schedule(dynamic,1)` | Each (i,j,k) thread stack-allocates its own `l_U` (derivs struct) and `l_values[]` to eliminate heap contention and data races |
| `relax_omp` line relaxation | `#pragma omp parallel for schedule(static)` over k-slices | Alternating be/al sweeps, each thread uses pre-allocated per-thread Thomas-algorithm workspace (`ws_*_be[tid]`, `ws_*_al[tid]`) |
| `LineRelax_be_omp` / `LineRelax_al_omp` | Called from `relax_omp` with explicit `tid` | Thread-safe tridiagonal solves using the thread's private scratch arrays |
**Per-thread workspace**`allocate_workspace()` allocates independent Thomas-algorithm buffers (`diag`, `e`, `f`, `b`, `x`, `l`, `u`, `d`, `y`) for each OpenMP thread in both be and al directions, avoiding lock contention in the inner Newton iteration.
### 1.3 MKL BLAS / LAPACK Integration
**Files:** `AMSS_NCKU_source/TwoPunctures.C`, `AMSS_NCKU_source/gaussj.C`
| Function | Old | New | Benefit |
|----------|-----|-----|---------|
| `norm2` | scalar `sqrt(sum(v[i]²))` loop | `cblas_dnrm2` | BLAS Level 1, SIMD-optimized |
| `scalarproduct` | scalar `sum(v[i]*w[i])` loop | `cblas_ddot` | BLAS Level 1, SIMD-optimized |
| `gaussj` | hand-written Gauss-Jordan elimination (~100 lines) | `LAPACKE_dgesv` + `LAPACKE_dgetrf` + `LAPACKE_dgetri` | LAPACK LU with partial pivoting, asymptotically faster for the `n~50` matrix sizes used in spectral elliptic solves |
### 1.4 C/C++ Rewrite of Hot Fortran Kernels
**Files (new):**
- `AMSS_NCKU_source/fderivs_c.C` (167 lines) — first derivatives, 2nd/4th order
- `AMSS_NCKU_source/fdderivs_c.C` (332 lines) — second derivatives, 2nd/4th order
- `AMSS_NCKU_source/kodiss_c.C` (117 lines) — Kreiss-Oliger dissipation
- `AMSS_NCKU_source/lopsided_c.C` (255 lines) — lopsided advection
- `AMSS_NCKU_source/lopsided_kodis_c.C` (248 lines) — fused advection + dissipation
- `AMSS_NCKU_source/rungekutta4_rout_c.C` (212 lines) — RK4 time-stepper
- `AMSS_NCKU_source/bssn_rhs_c.C` (1,287 lines) — full BSSN RHS kernel
- `AMSS_NCKU_source/z4c_rhs_c.C` (725 lines) — full Z4C RHS kernel
Every C rewrite follows a consistent optimization pattern:
- **64-byte aligned allocation** (`aligned_alloc(64, ...)`) for AVX-512 compatibility.
- **Static buffer caching** — scratch arrays (e.g., the padded `fh` ghost-zone buffer) persist across calls via a `static` pointer + capacity check, avoiding repeated `malloc`/`free`.
- **Two-pass strategy** — 2nd-order finite differences are computed on the full domain first, then the interior sub-volume is overwritten with 4th-order stencils. This eliminates the per-point `if/elseif` branching of the original Fortran.
- **Non-overlapping shell pass** — in `fdderivs_c.C`, the 2nd-order pass skips points that will be overwritten by the 4th-order pass, avoiding redundant computation.
### 1.5 Fortran Kernel Fusion: lopsided_kodis
**File:** `AMSS_NCKU_source/lopsidediff.f90`
A new `lopsided_kodis` subroutine fuses the advection (lopsided) and Kreiss-Oliger dissipation (kodis) operators into a single pass over the grid. Both operators previously called `symmetry_bd` independently to fill ghost zones — the fused version calls it once and shares the padded `fh` array, halving ghost-zone fill overhead for this hot path.
### 1.6 Build System for TwoPunctures
**Files:** `AMSS_NCKU_source/makefile`, `AMSS_NCKU_source/makefile.inc`
- **`TP_OPTFLAGS`** — TwoPunctures and TwoPunctureABE are compiled with a dedicated, more aggressive optimization flag set (`-O3 -march=znver5 -fp-model fast=2 -fma -ipo`) separate from the main code.
- **`USE_CXX_KERNELS`** — selects between the C rewrites and the original Fortran kernels (`bssn_rhs.f90`, etc.) for the CPU path.
- **`USE_CXX_RK4`** — independently selects between the C and Fortran RK4 stepper.
- **Intel oneTBB allocator** (`libtbbmalloc.so`) — replaces the system `malloc` with a scalable thread-safe allocator, critical for multi-threaded TwoPunctures performance.
- **PGO support** — `PGO_MODE=opt|instrument` for profile-guided optimization (currently disabled after testing showed negative benefit).
- **Toolchains** — Intel oneAPI (`TOOLCHAIN=intel`, default) and NVIDIA HPC SDK (`TOOLCHAIN=nvhpc`).
---
## Part 2 — ABE GPU Rewrite
### 2.1 Architecture: From Class Wrapper to Direct CUDA Kernels
The old GPU path (`baseline`) was organized as:
```
bssn_gpu_class.C/h — C++ class managing GPU state and kernel launches
bssn_step_gpu.C — RK4 stepper with per-substep GPU/CPU synchronisation
bssn_gpu.cu — CUDA kernel implementations called through the class
```
The new GPU path (`asc26-plan-a`) replaces all of the above with:
```
bssn_rhs_cuda.cu/h — 10,381-line monolithic CUDA BSSN RHS kernel
z4c_rhs_cuda.cu/h — 7,909-line monolithic CUDA Z4C RHS kernel
fd_cuda_helpers.cuh — 412-line shared finite-difference device functions
bssn_gpu_rhs_ss.cu — (retained, lightly modified) Shell-Patch GPU RHS
```
**Key architectural differences:**
- The old `bssn_gpu_class` managed GPU memory through a C++ class with explicit allocate/free/sync methods scattered across the time-stepping logic. The new kernels operate directly on raw device pointers with a clear resident/transient memory model.
- The old code launched many small kernels (one per derivative or algebraic term). The new code is a **single monolithic kernel per formulation** — all 24 BSSN evolution variables are computed in one launch with on-the-fly finite differences, eliminating kernel-launch latency and intermediate global-memory round-trips.
- The old `bssn_step_gpu.C` performed per-substep GPU→CPU downloads for boundary conditions and analysis. The new model supports **GPU-resident state** — variables stay on device across timesteps unless explicitly requested.
### 2.2 GPU-Resident State Model
A central theme across ~20 commits is the "resident-sync" optimization:
| Commit | What it does |
|--------|-------------|
| `22c1e71` | Optimize BSSN CUDA resident state and CUDA-aware MPI |
| `090d865` | Optimize BSSN CUDA state transfers |
| `68eab03` | Add opt-in BSSN CUDA resident AMR path |
| `1ee229a` | Add keyed BSSN CUDA resident banks |
| `18e9c9c` | Optimize BSSN CUDA resident AMR prolong |
| `8486532` | Add resident BSSN GPU point interpolation |
| `b1974ef` | Stabilize device AMR restrict across regrid |
| `ae64a22` | Complete BSSN-EScalar CUDA resident transfers |
| `83afaf1` | Skip zero EM resident downloads |
| `35b6cef` | Broaden cached CUDA sync paths |
The resident model works as follows:
- BSSN grid functions are allocated once on the GPU and persist across timesteps.
- Inter-processor ghost-zone exchanges use **CUDA-aware MPI** — MPI directly reads/writes device memory without staging through host buffers.
- AMR prolongation and restriction operate directly on device memory.
- Boundary conditions and analysis routines download only the specific slices/points they need, not the full grid.
- When EM fields are zero (pure-gravity runs), EM downloads are skipped entirely.
### 2.3 Z4C and Shell-Patch GPU Acceleration
**Files:** `AMSS_NCKU_source/z4c_rhs_cuda.cu`, `AMSS_NCKU_source/bssn_gpu_rhs_ss.cu`
- The Z4C constraint-damped formulation gets its own 7,909-line monolithic CUDA kernel (`z4c_rhs_cuda.cu`), matching the BSSN kernel's architecture.
- **Shell-Patch GPU acceleration** — the spherical shell boundary patches now compute on GPU with dedicated kernels in `bssn_gpu_rhs_ss.cu`.
- Z4C + Shell-Patch can coexist on GPU (Phase 3 commits).
- A CPU-side wrapper (`z4c_rhs_c.C`) handles the trKd + TZ_rhs contribution that remains on CPU, minimizing GPU/CPU traffic.
### 2.4 Finite-Difference Order Flexibility
**File:** `AMSS_NCKU_source/fd_cuda_helpers.cuh`
Shared device functions for finite-difference stencils support **2nd, 4th, 6th, and 8th order** at compile time via preprocessor switches. This enables:
- Per-run selection of convergence order without recompilation of the full kernel.
- 8th-order AMR transfers (`1064a68`) for BSSN-EM.
- 6th-order optimized AMR stencils (`0076b3c`).
### 2.5 GPU Diagnostics and Quality Assurance
**File:** `AMSS_NCKU_GPUCheck.py` (559 lines, new)
A Python-based GPU correctness verification tool that compares GPU and CPU evolution outputs. The GPU build pipeline includes optional kernel profiling switches (`7683459`) for performance debugging.
**GPU-specific bug fixes:**
- `f226498` — Fix CUDA AMR symmetry drift (incorrect ghost-zone handling under symmetry boundary conditions)
- `2317e4a` — Fix BSSN GPU resident AMR sync default
- `fea2dcc` — Fix BSSN-EM runtime crash
- `dd0e20d` — Fix BSSN-EScalar CUDA boundary and scalar KO
- `5eb4994` — Fix AHF crash under CUDA resident-sync mode
### 2.6 Build Integration
**Makefile switches:**
- `USE_CUDA_BSSN=0/1` — route BSSN RHS through GPU or CPU
- `USE_CUDA_Z4C=0/1` — route Z4C RHS through GPU or CPU
- `CUDA_ARCH=sm_80` — target NVIDIA Ampere (A100)
- `NVHPC_ROOT` — path to NVIDIA HPC SDK for the `nvcc` compiler wrapper
- CUDA compilation flags: `-O3 --ptxas-options=-v -arch=$(CUDA_ARCH)`
---
## Part 3 — Shared Infrastructure
### 3.1 Interp_Points Load-Balance Profiler
**Files:** `AMSS_NCKU_source/interp_lb_profile.C`, `interp_lb_profile.h`, `interp_lb_profile_data.h`, `generate_interp_lb_header.py`
A two-pass instrumentation system for load-balancing the `Interp_Points` parallel interpolation routine:
- **Pass 1** (`INTERP_LB_MODE=profile`): instrument each MPI rank's interpolation calls with timing, write a binary profile.
- **Pass 2** (`INTERP_LB_MODE=optimize`): read the profile and rebalance work across MPI ranks.
### 3.2 Helper Headers
**Files:** `AMSS_NCKU_source/tool.h` (33 lines), `AMSS_NCKU_source/share_func.h` (246 lines)
- `tool.h` — shared indexing macros (`idx_ex`, `idx_fh_F_ord2`) and the `symmetry_bd` declaration used by all C kernel rewrites.
- `share_func.h` — common utility functions shared across the C++ source files.
### 3.3 Plot-Only Restart Script
**File:** `parallel_plot_helper.py` (29 lines)
A lightweight restart script that skips recomputation when plotting was interrupted — reads existing checkpoint data and replots without re-running the simulation.
---
## Performance Summary
| Component | Optimization | Expected Impact |
|-----------|-------------|-----------------|
| TwoPunctures `Derivatives_AB3` | Scalar loops → MKL GEMM | 5-20× speedup for spectral derivative computation |
| TwoPunctures `F_of_v` | OpenMP collapse(3) + stack-local variables | Near-linear scaling with core count for residual evaluation |
| TwoPunctures `gaussj` | Hand-written Gauss-Jordan → LAPACK LU | 2-5× speedup for N~50 matrix inversion |
| BSSN RHS (GPU) | Many small kernels → one monolithic kernel | Eliminates kernel-launch overhead; 2-5× GPU throughput improvement |
| GPU state transfers | Per-step download → resident model | Eliminates ~80% of GPU↔CPU PCIe traffic |
| `lopsided_kodis` fusion | Two `symmetry_bd` calls → one shared call | ~30% reduction in ghost-zone fill cost for this operator pair |
| Memory allocator | System malloc → Intel TBB malloc | Significant reduction in malloc contention under OpenMP |
| C kernel rewrites | Fortran → C with aligned alloc + static buffers | Enables Intel compiler IPO across C/C++/Fortran boundaries; better SIMD codegen |
---

View File

@@ -45,8 +45,7 @@ def get_last_n_cores_per_socket(n=32):
cpu_str = ",".join(segments)
total = len(segments) * n
print(f" CPU binding: taskset -c {cpu_str} ({total} cores, last {n} per socket)")
#return f"taskset -c {cpu_str}"
return f""
return f"taskset -c {cpu_str}" if cpu_str else ""
## CPU core binding: dynamically select the last 32 cores of each socket (64 cores total)
@@ -75,6 +74,13 @@ def _input_or_env(input_name, env_name, default=None):
return getattr(input_data, input_name, default)
def _input_env_passthrough(runtime_env, env_name):
if env_name in runtime_env:
return
if hasattr(input_data, env_name):
runtime_env[env_name] = str(getattr(input_data, env_name))
def _start_cuda_mps_if_requested(runtime_env):
if input_data.GPU_Calculation != "yes":
return False
@@ -138,10 +144,11 @@ def _stop_cuda_mps(runtime_env):
def _gpu_runtime_env():
runtime_env = os.environ.copy()
original_env = set(os.environ.keys())
finite_difference = str(getattr(input_data, "Finite_Diffenence_Method", "4th-order")).strip()
defaults = {
"AMSS_EVOLVE_TIMING": "1",
"AMSS_EVOLVE_TIMING": "0",
"AMSS_ESCALAR_STEP_TIMING": "0",
"AMSS_INTERP_FAST": "1",
"AMSS_INTERP_GPU": "1",
@@ -193,6 +200,72 @@ def _gpu_runtime_env():
for key, value in defaults.items():
runtime_env.setdefault(key, value)
input_overrides = [
"AMSS_EVOLVE_TIMING",
"AMSS_ESCALAR_STEP_TIMING",
"AMSS_INTERP_FAST",
"AMSS_INTERP_GPU",
"AMSS_ANALYSIS_MAP_EVERY",
"AMSS_CUDA_AWARE_MPI",
"AMSS_CUDA_KEEP_RESIDENT_AFTER_STEP",
"AMSS_CUDA_KEEP_ALL_LEVELS",
"AMSS_CUDA_ESCALAR_KEEP_RESIDENT_AFTER_STEP",
"AMSS_CUDA_ESCALAR_KEEP_ALL_LEVELS",
"AMSS_CUDA_EM_CACHE_SOURCES",
"AMSS_CUDA_EM_ZERO_FASTPATH",
"AMSS_EM_ZERO_ANALYSIS_FASTPATH",
"AMSS_EM_ZERO_RESIDENT_DOWNLOAD_FASTPATH",
"AMSS_CUDA_AMR_HOST_STAGED",
"AMSS_CUDA_AMR_RESTRICT_DEVICE",
"AMSS_CUDA_AMR_RESTRICT_BATCH",
"AMSS_CUDA_DEVICE_SEGMENT_BATCH",
"AMSS_CUDA_UNCACHED_DEVICE_BUFFERS",
"AMSS_SHELL_FAST_INTERP",
"AMSS_SHELL_PARALLEL_INTERP",
"AMSS_SHELL_CUDA_INTERP",
"AMSS_SHELL_INTERP_THREADS",
"AMSS_Z4C_CUDA_RESIDENT",
"AMSS_CONSTRAINT_OUT_EVERY",
"AMSS_Z4C_MRBD",
]
for env_name in input_overrides:
if env_name not in original_env and hasattr(input_data, env_name):
runtime_env[env_name] = str(getattr(input_data, env_name))
passthrough_envs = [
"AMSS_CUDA_RESIDENT_SYNC",
"AMSS_CUDA_BSSN_RESIDENT_SYNC",
"AMSS_CUDA_EM_RESIDENT_SYNC",
"AMSS_CUDA_ESCALAR_RESIDENT_SYNC",
"AMSS_CUDA_BH_INTERP_RESIDENT",
"AMSS_CUDA_KEEP_RESIDENT_AFTER_STEP",
"AMSS_CUDA_KEEP_ALL_LEVELS",
"AMSS_CUDA_EM_KEEP_RESIDENT_AFTER_STEP",
"AMSS_CUDA_EM_KEEP_ALL_LEVELS",
"AMSS_CUDA_ESCALAR_KEEP_RESIDENT_AFTER_STEP",
"AMSS_CUDA_ESCALAR_KEEP_ALL_LEVELS",
"AMSS_CUDA_AMR_HOST_STAGED",
"AMSS_CUDA_AMR_RESTRICT_DEVICE",
"AMSS_CUDA_AMR_RESTRICT_BATCH",
"AMSS_CUDA_DEVICE_SEGMENT_BATCH",
"AMSS_CUDA_UNCACHED_DEVICE_BUFFERS",
"AMSS_CUDA_EM_CACHE_SOURCES",
"AMSS_CUDA_EM_ZERO_FASTPATH",
"AMSS_CUDA_AWARE_MPI",
"AMSS_CUDA_REGRID_FLUSH_ALWAYS",
"AMSS_Z4C_CUDA_RESIDENT",
"AMSS_SHELL_FAST_INTERP",
"AMSS_SHELL_PARALLEL_INTERP",
"AMSS_SHELL_CUDA_INTERP",
"AMSS_SHELL_INTERP_THREADS",
"AMSS_EM_ZERO_ANALYSIS_FASTPATH",
"AMSS_EM_ZERO_RESIDENT_DOWNLOAD_FASTPATH",
"AMSS_INTERP_FAST",
"AMSS_INTERP_GPU",
]
for env_name in passthrough_envs:
_input_env_passthrough(runtime_env, env_name)
optional_overrides = {
"AMSS_INTERP_FAST_COMPARE": "AMSS_Interp_Fast_Compare",
"AMSS_INTERP_FAST_COMPARE_LIMIT": "AMSS_Interp_Fast_Compare_Limit",
@@ -221,11 +294,13 @@ def makefile_ABE():
print( " Compiling the AMSS-NCKU executable file ABE/ABEGPU " )
print( )
z4c_mrbd = int(getattr(input_data, "AMSS_Z4C_MRBD", 0))
## Build command with CPU binding to nohz_full cores
if (input_data.GPU_Calculation == "no"):
makefile_command = f"{NUMACTL_CPU_BIND} make -j{BUILD_JOBS} INTERP_LB_MODE=off USE_CUDA_BSSN=0 USE_CUDA_Z4C=0 ABE"
makefile_command = f"{NUMACTL_CPU_BIND} env AMSS_Z4C_MRBD={z4c_mrbd} make -j{BUILD_JOBS} INTERP_LB_MODE=off USE_CUDA_BSSN=0 USE_CUDA_Z4C=0 ABE"
elif (input_data.GPU_Calculation == "yes"):
makefile_command = f"{NUMACTL_CPU_BIND} make -j{BUILD_JOBS} INTERP_LB_MODE=off USE_CUDA_BSSN=1 USE_CUDA_Z4C=1 ABE_CUDA"
makefile_command = f"{NUMACTL_CPU_BIND} env AMSS_Z4C_MRBD={z4c_mrbd} make -j{BUILD_JOBS} INTERP_LB_MODE=off USE_CUDA_BSSN=1 USE_CUDA_Z4C=1 ABE_CUDA"
else:
print( " CPU/GPU numerical calculation setting is wrong " )
print( )
@@ -367,7 +442,6 @@ def run_ABE():
for line in mpi_process.stdout:
print(line, end='') # stream output in real time
file0.write(line) # write the line to file
file0.flush() # flush to ensure each line is written immediately (optional)
## Wait for the process to finish
mpi_return_code = mpi_process.wait()
@@ -411,8 +485,6 @@ def run_TwoPunctureABE():
for line in TwoPuncture_process.stdout:
print(line, end='') # stream output in real time
file0.write(line) # write the line to file
file0.flush() # flush to ensure each line is written immediately (optional)
file0.close()
## Wait for the process to finish
TwoPuncture_command_return_code = TwoPuncture_process.wait()