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31 Commits

Author SHA1 Message Date
6fd7ef2b55 Cache GPU RHS symbols and zero vacuum sources once 2026-04-12 22:42:58 +08:00
7064ebd5b4 Batch GPU stage downloads 2026-04-12 21:06:41 +08:00
87c581ea7c Checkpoint stable GPU optimization baseline 2026-04-12 20:26:27 +08:00
d702aa06b9 Trim GPU restrict sync overhead 2026-04-12 19:45:34 +08:00
ce88c18265 Tune GPU RHS launch geometry 2026-04-12 18:59:59 +08:00
db2d6978b2 Reduce final GPU host downloads 2026-04-12 18:46:42 +08:00
c8977d8356 Optimize GPU RK4 stage sync path 2026-04-12 18:36:05 +08:00
d9287ea530 Fix GPU RK4 boundary and sync correctness 2026-04-12 12:13:47 +08:00
b78874ef21 Refine stable GPU AMR staging path 2026-04-10 23:37:36 +08:00
a089041c3b Stabilize GPU AMR prolong/restrict paths 2026-04-10 21:57:58 +08:00
c578a15ecd Fix GPU interpolation cache lifetime leaks 2026-04-10 10:29:04 +08:00
e1a0bff43c Reduce redundant GPU host buffer preparation 2026-04-09 21:20:45 +08:00
cf3c6d6218 Stabilize GPU buffer lifecycle around regrid 2026-04-09 20:48:06 +08:00
46e94d1248 Trim constraint-only GPU downloads 2026-04-09 19:36:19 +08:00
7cd2414faa Move constraint recomputation onto GPU path 2026-04-09 19:17:39 +08:00
4463f1d23e Unpack intermediate sync stages directly to GPU 2026-04-09 19:01:12 +08:00
4484635f0d Pack sync send buffers directly from GPU state 2026-04-09 18:49:11 +08:00
b0dd069a2b Register GPU transfer buffers as pinned host memory 2026-04-09 18:36:10 +08:00
5bc67ded06 Download staged GPU sync regions incrementally 2026-04-09 18:23:05 +08:00
3b16795e78 Refresh synced GPU regions incrementally 2026-04-09 17:07:31 +08:00
5b00d49070 Reduce staged GPU host-device copies 2026-04-09 16:44:08 +08:00
42e851d19a Cache repeated interpolation plans 2026-04-09 15:21:01 +08:00
06fa643365 Refine batched CUDA interpolation kernel 2026-04-09 15:06:11 +08:00
c47349b7a9 Add batched CUDA patch interpolation path 2026-04-09 14:56:01 +08:00
ad999e4c5a Add guarded GPU prolong3 path scaffold 2026-04-09 14:28:36 +08:00
e1e3b4a448 Reduce GPU RK4 transfer overhead 2026-04-09 12:11:40 +08:00
49409645c0 Stabilize GPU output path and MPI sync 2026-04-09 10:57:49 +08:00
4e3946a4f0 Persist GPU RK4 stage caches 2026-04-08 20:59:15 +08:00
a0af9b8804 Trim GPU main-path transfer overhead 2026-04-08 20:16:25 +08:00
01ac1f9250 Cache GPU main-path device buffers 2026-04-08 19:43:17 +08:00
ea470737db Add runnable GPU main-path prototype 2026-04-08 19:14:37 +08:00
21 changed files with 6836 additions and 1248 deletions

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@@ -23,22 +23,20 @@ using namespace std;
#include <mpi.h> #include <mpi.h>
#include "misc.h" #include "misc.h"
#include "macrodef.h" #include "macrodef.h"
#ifdef USE_GPU
extern void bssn_cuda_dump_stage_profile();
#endif
#ifndef ABEtype #ifndef ABEtype
#error "not define ABEtype" #error "not define ABEtype"
#endif #endif
#if (ABEtype == 0) #if (ABEtype == 0)
#include "bssn_class.h"
#ifdef USE_GPU
#include "bssn_gpu_class.h" #elif (ABEtype == 1)
#else #include "bssnEScalar_class.h"
#include "bssn_class.h"
#endif
#elif (ABEtype == 1)
#include "bssnEScalar_class.h"
#elif (ABEtype == 2) #elif (ABEtype == 2)
#include "Z4c_class.h" #include "Z4c_class.h"
@@ -474,10 +472,13 @@ int main(int argc, char *argv[])
cout << endl; cout << endl;
} }
ADM->Evolve(Steps); ADM->Evolve(Steps);
#ifdef USE_GPU
if (myrank == 0) bssn_cuda_dump_stage_profile();
{ #endif
if (myrank == 0)
{
cout << endl; cout << endl;
cout << " Total Evolve Time: " << MPI_Wtime() - End_clock << " seconds!" << endl; cout << " Total Evolve Time: " << MPI_Wtime() - End_clock << " seconds!" << endl;
cout << " Total Running Time: " << MPI_Wtime() - Begin_clock << " seconds!" << endl; cout << " Total Running Time: " << MPI_Wtime() - Begin_clock << " seconds!" << endl;

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@@ -9,8 +9,12 @@
#include <new> #include <new>
using namespace std; using namespace std;
#include "Block.h" #include "Block.h"
#include "misc.h" #include "misc.h"
#ifdef USE_GPU
#include "bssn_gpu.h"
#include "bssn_cuda_ops.h"
#endif
Block::Block(int DIM, int *shapei, double *bboxi, int ranki, int ingfsi, int fngfsi, int levi, const int cgpui) : rank(ranki), ingfs(ingfsi), fngfs(fngfsi), lev(levi), cgpu(cgpui) Block::Block(int DIM, int *shapei, double *bboxi, int ranki, int ingfsi, int fngfsi, int levi, const int cgpui) : rank(ranki), ingfs(ingfsi), fngfs(fngfsi), lev(levi), cgpu(cgpui)
{ {
@@ -95,14 +99,19 @@ Block::Block(int DIM, int *shapei, double *bboxi, int ranki, int ingfsi, int fng
} }
#endif #endif
} }
Block::~Block() Block::~Block()
{ {
int myrank; int myrank;
MPI_Comm_rank(MPI_COMM_WORLD, &myrank); MPI_Comm_rank(MPI_COMM_WORLD, &myrank);
if (myrank == rank) if (myrank == rank)
{ {
for (int i = 0; i < dim; i++) #ifdef USE_GPU
delete[] X[i]; bssn_gpu_clear_cached_device_buffers();
bssn_cuda_release_rk4_caches();
bssn_cuda_release_interp_caches();
#endif
for (int i = 0; i < dim; i++)
delete[] X[i];
for (int i = 0; i < ingfs; i++) for (int i = 0; i < ingfs; i++)
free(igfs[i]); free(igfs[i]);
delete[] igfs; delete[] igfs;

View File

@@ -2,29 +2,100 @@
#include <iostream> #include <iostream>
#include <iomanip> #include <iomanip>
#include <fstream> #include <fstream>
#include <cstdlib> #include <cstdlib>
#include <cstdio> #include <cstdio>
#include <string> #include <string>
#include <cmath> #include <cmath>
#include <new> #include <new>
#include <vector> #include <map>
using namespace std; #include <vector>
using namespace std;
#include "misc.h" #include "misc.h"
#include "MPatch.h" #include "MPatch.h"
#include "Parallel.h" #include "Parallel.h"
#include "fmisc.h" #include "fmisc.h"
#ifdef INTERP_LB_PROFILE #include "bssn_cuda_ops.h"
#include "interp_lb_profile.h" #ifdef INTERP_LB_PROFILE
#endif #include "interp_lb_profile.h"
#endif
namespace
{ #if defined(__GNUC__) || defined(__clang__)
struct InterpBlockView extern int bssn_cuda_interp_points_batch(const int *ex,
{ const double *X, const double *Y, const double *Z,
Block *bp; const double *const *fields,
double llb[dim]; const double *soa_flat,
double uub[dim]; int num_var,
const double *px, const double *py, const double *pz,
int num_points,
int ordn,
int symmetry,
double *out) __attribute__((weak));
#endif
namespace
{
struct InterpVarDesc
{
int sgfn;
double soa[dim];
};
struct InterpPlanKey
{
const Patch *patch;
const double *x;
const double *y;
const double *z;
int NN;
int Symmetry;
int myrank;
};
struct InterpPlanKeyLess
{
bool operator()(const InterpPlanKey &lhs, const InterpPlanKey &rhs) const
{
if (lhs.patch != rhs.patch) return lhs.patch < rhs.patch;
if (lhs.x != rhs.x) return lhs.x < rhs.x;
if (lhs.y != rhs.y) return lhs.y < rhs.y;
if (lhs.z != rhs.z) return lhs.z < rhs.z;
if (lhs.NN != rhs.NN) return lhs.NN < rhs.NN;
if (lhs.Symmetry != rhs.Symmetry) return lhs.Symmetry < rhs.Symmetry;
return lhs.myrank < rhs.myrank;
}
};
struct CachedInterpPlan
{
int nblocks;
vector<int> owner_rank;
vector<int> owner_block;
vector<vector<int> > block_points;
vector<vector<double> > block_px;
vector<vector<double> > block_py;
vector<vector<double> > block_pz;
CachedInterpPlan() : nblocks(0) {}
};
struct CachedInterpPlanEntry
{
bool valid;
InterpPlanKey key;
vector<double> xvals;
vector<double> yvals;
vector<double> zvals;
CachedInterpPlan plan;
CachedInterpPlanEntry() : valid(false) {}
};
struct InterpBlockView
{
Block *bp;
double llb[dim];
double uub[dim];
}; };
struct BlockBinIndex struct BlockBinIndex
@@ -154,10 +225,10 @@ void build_block_bin_index(Patch *patch, const double *DH, BlockBinIndex &index)
index.valid = true; index.valid = true;
} }
int find_block_index_for_point(const BlockBinIndex &index, const double *pox, const double *DH) int find_block_index_for_point(const BlockBinIndex &index, const double *pox, const double *DH)
{ {
if (!index.valid) if (!index.valid)
return -1; return -1;
const int bx = coord_to_bin(pox[0], index.lo[0], index.inv[0], index.bins[0]); const int bx = coord_to_bin(pox[0], index.lo[0], index.inv[0], index.bins[0]);
const int by = coord_to_bin(pox[1], index.lo[1], index.inv[1], index.bins[1]); const int by = coord_to_bin(pox[1], index.lo[1], index.inv[1], index.bins[1]);
@@ -175,13 +246,314 @@ int find_block_index_for_point(const BlockBinIndex &index, const double *pox, co
for (size_t bi = 0; bi < index.views.size(); bi++) for (size_t bi = 0; bi < index.views.size(); bi++)
if (point_in_block_view(index.views[bi], pox, DH)) if (point_in_block_view(index.views[bi], pox, DH))
return int(bi); return int(bi);
return -1; return -1;
} }
} // namespace
void collect_interp_vars(MyList<var> *VarList, vector<InterpVarDesc> &vars)
Patch::Patch(int DIM, int *shapei, double *bboxi, int levi, bool buflog, int Symmetry) : lev(levi) {
{ vars.clear();
MyList<var> *varl = VarList;
while (varl)
{
InterpVarDesc desc;
desc.sgfn = varl->data->sgfn;
for (int d = 0; d < dim; ++d)
desc.soa[d] = varl->data->SoA[d];
vars.push_back(desc);
varl = varl->next;
}
}
bool should_try_cuda_interp(int ordn, int num_points, int num_var)
{
#if defined(__GNUC__) || defined(__clang__)
if (!bssn_cuda_interp_points_batch)
return false;
#else
return false;
#endif
if (ordn != 6)
return false;
if (num_points < 32)
return false;
return num_points * num_var >= 256;
}
CachedInterpPlanEntry &interp_plan_cache_entry()
{
static CachedInterpPlanEntry cache;
return cache;
}
bool same_interp_plan_key(const InterpPlanKey &lhs, const InterpPlanKey &rhs)
{
return lhs.patch == rhs.patch &&
lhs.NN == rhs.NN &&
lhs.Symmetry == rhs.Symmetry &&
lhs.myrank == rhs.myrank;
}
bool same_interp_plan_points(const CachedInterpPlanEntry &cache, int NN, double **XX)
{
if (static_cast<int>(cache.xvals.size()) != NN ||
static_cast<int>(cache.yvals.size()) != NN ||
static_cast<int>(cache.zvals.size()) != NN)
return false;
for (int j = 0; j < NN; ++j)
{
if (cache.xvals[j] != XX[0][j] ||
cache.yvals[j] != XX[1][j] ||
cache.zvals[j] != XX[2][j])
return false;
}
return true;
}
CachedInterpPlan &get_cached_interp_plan(Patch *patch,
int NN, double **XX,
int Symmetry, int myrank,
const double *DH,
const BlockBinIndex &block_index,
bool report_bounds_here,
bool allow_missing_points)
{
InterpPlanKey key;
key.patch = patch;
key.x = XX[0];
key.y = XX[1];
key.z = XX[2];
key.NN = NN;
key.Symmetry = Symmetry;
key.myrank = myrank;
CachedInterpPlanEntry &cache = interp_plan_cache_entry();
if (cache.valid &&
same_interp_plan_key(cache.key, key) &&
same_interp_plan_points(cache, NN, XX) &&
cache.plan.nblocks == static_cast<int>(block_index.views.size()))
return cache.plan;
cache.valid = true;
cache.key = key;
cache.xvals.assign(XX[0], XX[0] + NN);
cache.yvals.assign(XX[1], XX[1] + NN);
cache.zvals.assign(XX[2], XX[2] + NN);
cache.plan = CachedInterpPlan();
CachedInterpPlan &plan = cache.plan;
plan.nblocks = static_cast<int>(block_index.views.size());
plan.owner_rank.assign(NN, -1);
plan.owner_block.assign(NN, -1);
plan.block_points.resize(plan.nblocks);
plan.block_px.resize(plan.nblocks);
plan.block_py.resize(plan.nblocks);
plan.block_pz.resize(plan.nblocks);
for (int j = 0; j < NN; ++j)
{
double pox[dim];
for (int i = 0; i < dim; ++i)
{
pox[i] = XX[i][j];
if (report_bounds_here &&
(XX[i][j] < patch->bbox[i] + patch->lli[i] * DH[i] ||
XX[i][j] > patch->bbox[dim + i] - patch->uui[i] * DH[i]))
{
cout << "Patch::Interp_Points: point (";
for (int k = 0; k < dim; ++k)
{
cout << XX[k][j];
if (k < dim - 1)
cout << ",";
else
cout << ") is out of current Patch." << endl;
}
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
const int block_i = find_block_index_for_point(block_index, pox, DH);
if (block_i >= 0)
{
Block *BP = block_index.views[block_i].bp;
plan.owner_rank[j] = BP->rank;
plan.owner_block[j] = block_i;
if (BP->rank == myrank)
{
plan.block_points[block_i].push_back(j);
plan.block_px[block_i].push_back(XX[0][j]);
plan.block_py[block_i].push_back(XX[1][j]);
plan.block_pz[block_i].push_back(XX[2][j]);
}
}
}
if (!allow_missing_points && report_bounds_here)
{
for (int j = 0; j < NN; ++j)
{
if (plan.owner_rank[j] >= 0)
continue;
cout << "ERROR: Patch::Interp_Points fails to find point (";
for (int d = 0; d < dim; ++d)
{
cout << XX[d][j];
if (d < dim - 1)
cout << ",";
else
cout << ")";
}
cout << " on Patch (";
for (int d = 0; d < dim; ++d)
{
cout << patch->bbox[d] << "+" << patch->lli[d] * DH[d];
if (d < dim - 1)
cout << ",";
else
cout << ")--";
}
cout << "(";
for (int d = 0; d < dim; ++d)
{
cout << patch->bbox[dim + d] << "-" << patch->uui[d] * DH[d];
if (d < dim - 1)
cout << ",";
else
cout << ")" << endl;
}
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
return plan;
}
void release_interp_plan_cache_internal()
{
CachedInterpPlanEntry &cache = interp_plan_cache_entry();
cache.valid = false;
cache.xvals.clear();
cache.yvals.clear();
cache.zvals.clear();
cache.plan = CachedInterpPlan();
}
bool run_cuda_interp_for_block(Block *BP,
const vector<InterpVarDesc> &vars,
const vector<int> &point_ids,
const vector<double> &px,
const vector<double> &py,
const vector<double> &pz,
double *Shellf,
int num_var,
int ordn,
int Symmetry)
{
if (!should_try_cuda_interp(ordn, static_cast<int>(point_ids.size()), num_var))
return false;
vector<const double *> field_ptrs(num_var);
vector<double> soa_flat(3 * num_var);
for (int v = 0; v < num_var; ++v)
{
field_ptrs[v] = BP->fgfs[vars[v].sgfn];
for (int d = 0; d < dim; ++d)
soa_flat[3 * v + d] = vars[v].soa[d];
}
const int npts = static_cast<int>(point_ids.size());
vector<double> out(static_cast<size_t>(npts) * static_cast<size_t>(num_var));
if (bssn_cuda_interp_points_batch(BP->shape,
BP->X[0], BP->X[1], BP->X[2],
field_ptrs.data(),
soa_flat.data(),
num_var,
px.data(), py.data(), pz.data(),
npts,
ordn,
Symmetry,
out.data()) != 0)
{
return false;
}
for (int p = 0; p < npts; ++p)
{
const int j = point_ids[p];
memcpy(Shellf + j * num_var, out.data() + p * num_var, sizeof(double) * num_var);
}
return true;
}
void run_cpu_interp_for_block(Block *BP,
const vector<InterpVarDesc> &vars,
const vector<int> &point_ids,
const vector<double> &px,
const vector<double> &py,
const vector<double> &pz,
double *Shellf,
int num_var,
int ordn,
int Symmetry)
{
for (size_t p = 0; p < point_ids.size(); ++p)
{
const int j = point_ids[p];
double x = px[p];
double y = py[p];
double z = pz[p];
int ordn_local = ordn;
int symmetry_local = Symmetry;
for (int v = 0; v < num_var; ++v)
{
f_global_interp(BP->shape, BP->X[0], BP->X[1], BP->X[2],
BP->fgfs[vars[v].sgfn], Shellf[j * num_var + v],
x, y, z, ordn_local, const_cast<double *>(vars[v].soa), symmetry_local);
}
}
}
void interpolate_owned_points(MyList<var> *VarList,
double *Shellf, int Symmetry,
int ordn,
const BlockBinIndex &block_index,
const CachedInterpPlan &plan)
{
vector<InterpVarDesc> vars;
collect_interp_vars(VarList, vars);
const int num_var = static_cast<int>(vars.size());
for (size_t bi = 0; bi < plan.block_points.size(); ++bi)
{
if (plan.block_points[bi].empty())
continue;
Block *BP = block_index.views[bi].bp;
bool done = run_cuda_interp_for_block(BP, vars,
plan.block_points[bi],
plan.block_px[bi],
plan.block_py[bi],
plan.block_pz[bi],
Shellf, num_var, ordn, Symmetry);
if (!done)
run_cpu_interp_for_block(BP, vars,
plan.block_points[bi],
plan.block_px[bi],
plan.block_py[bi],
plan.block_pz[bi],
Shellf, num_var, ordn, Symmetry);
}
}
} // namespace
void patch_release_interp_plan_cache()
{
release_interp_plan_cache_internal();
}
Patch::Patch(int DIM, int *shapei, double *bboxi, int levi, bool buflog, int Symmetry) : lev(levi)
{
int hbuffer_width = buffer_width; int hbuffer_width = buffer_width;
if (lev == 0) if (lev == 0)
@@ -523,60 +895,15 @@ void Patch::Interp_Points(MyList<var> *VarList,
memset(Shellf, 0, sizeof(double) * NN * num_var); memset(Shellf, 0, sizeof(double) * NN * num_var);
// owner_rank[j] records which MPI rank owns point j double DH[dim];
// All ranks traverse the same block list so they all agree on ownership for (int i = 0; i < dim; i++)
int *owner_rank; DH[i] = getdX(i);
owner_rank = new int[NN]; BlockBinIndex block_index;
for (int j = 0; j < NN; j++) build_block_bin_index(this, DH, block_index);
owner_rank[j] = -1; CachedInterpPlan &plan = get_cached_interp_plan(this, NN, XX, Symmetry, myrank, DH, block_index, myrank == 0, false);
const int *owner_rank = plan.owner_rank.data();
double DH[dim];
for (int i = 0; i < dim; i++) interpolate_owned_points(VarList, Shellf, Symmetry, ordn, block_index, plan);
DH[i] = getdX(i);
BlockBinIndex block_index;
build_block_bin_index(this, DH, block_index);
for (int j = 0; j < NN; j++) // run along points
{
double pox[dim];
for (int i = 0; i < dim; i++)
{
pox[i] = XX[i][j];
if (myrank == 0 && (XX[i][j] < bbox[i] + lli[i] * DH[i] || XX[i][j] > bbox[dim + i] - uui[i] * DH[i]))
{
cout << "Patch::Interp_Points: point (";
for (int k = 0; k < dim; k++)
{
cout << XX[k][j];
if (k < dim - 1)
cout << ",";
else
cout << ") is out of current Patch." << endl;
}
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
const int block_i = find_block_index_for_point(block_index, pox, DH);
if (block_i >= 0)
{
Block *BP = block_index.views[block_i].bp;
owner_rank[j] = BP->rank;
if (myrank == BP->rank)
{
//---> interpolation
varl = VarList;
int k = 0;
while (varl) // run along variables
{
f_global_interp(BP->shape, BP->X[0], BP->X[1], BP->X[2], BP->fgfs[varl->data->sgfn], Shellf[j * num_var + k],
pox[0], pox[1], pox[2], ordn, varl->data->SoA, Symmetry);
varl = varl->next;
k++;
}
}
}
}
// Replace MPI_Allreduce with per-owner MPI_Bcast: // Replace MPI_Allreduce with per-owner MPI_Bcast:
// Group consecutive points by owner rank and broadcast each group. // Group consecutive points by owner rank and broadcast each group.
@@ -631,9 +958,8 @@ void Patch::Interp_Points(MyList<var> *VarList,
MPI_Bcast(Shellf + jstart * num_var, count, MPI_DOUBLE, cur_owner, MPI_COMM_WORLD); MPI_Bcast(Shellf + jstart * num_var, count, MPI_DOUBLE, cur_owner, MPI_COMM_WORLD);
} }
} }
delete[] owner_rank; }
}
void Patch::Interp_Points(MyList<var> *VarList, void Patch::Interp_Points(MyList<var> *VarList,
int NN, double **XX, int NN, double **XX,
double *Shellf, int Symmetry, double *Shellf, int Symmetry,
@@ -661,102 +987,22 @@ void Patch::Interp_Points(MyList<var> *VarList,
memset(Shellf, 0, sizeof(double) * NN * num_var); memset(Shellf, 0, sizeof(double) * NN * num_var);
// owner_rank[j] records which MPI rank owns point j double DH[dim];
int *owner_rank; for (int i = 0; i < dim; i++)
owner_rank = new int[NN]; DH[i] = getdX(i);
for (int j = 0; j < NN; j++) BlockBinIndex block_index;
owner_rank[j] = -1; build_block_bin_index(this, DH, block_index);
CachedInterpPlan &plan = get_cached_interp_plan(this, NN, XX, Symmetry, myrank, DH, block_index, myrank == 0, false);
double DH[dim]; const int *owner_rank = plan.owner_rank.data();
for (int i = 0; i < dim; i++)
DH[i] = getdX(i); interpolate_owned_points(VarList, Shellf, Symmetry, ordn, block_index, plan);
BlockBinIndex block_index;
build_block_bin_index(this, DH, block_index);
// --- Interpolation phase (identical to original) ---
for (int j = 0; j < NN; j++)
{
double pox[dim];
for (int i = 0; i < dim; i++)
{
pox[i] = XX[i][j];
if (myrank == 0 && (XX[i][j] < bbox[i] + lli[i] * DH[i] || XX[i][j] > bbox[dim + i] - uui[i] * DH[i]))
{
cout << "Patch::Interp_Points: point (";
for (int k = 0; k < dim; k++)
{
cout << XX[k][j];
if (k < dim - 1)
cout << ",";
else
cout << ") is out of current Patch." << endl;
}
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
const int block_i = find_block_index_for_point(block_index, pox, DH);
if (block_i >= 0)
{
Block *BP = block_index.views[block_i].bp;
owner_rank[j] = BP->rank;
if (myrank == BP->rank)
{
varl = VarList;
int k = 0;
while (varl)
{
f_global_interp(BP->shape, BP->X[0], BP->X[1], BP->X[2], BP->fgfs[varl->data->sgfn], Shellf[j * num_var + k],
pox[0], pox[1], pox[2], ordn, varl->data->SoA, Symmetry);
varl = varl->next;
k++;
}
}
}
}
#ifdef INTERP_LB_PROFILE #ifdef INTERP_LB_PROFILE
double t_interp_end = MPI_Wtime(); double t_interp_end = MPI_Wtime();
double t_interp_local = t_interp_end - t_interp_start; double t_interp_local = t_interp_end - t_interp_start;
#endif #endif
// --- Error check for unfound points --- // --- Targeted point-to-point communication phase ---
for (int j = 0; j < NN; j++)
{
if (owner_rank[j] < 0 && myrank == 0)
{
cout << "ERROR: Patch::Interp_Points fails to find point (";
for (int d = 0; d < dim; d++)
{
cout << XX[d][j];
if (d < dim - 1)
cout << ",";
else
cout << ")";
}
cout << " on Patch (";
for (int d = 0; d < dim; d++)
{
cout << bbox[d] << "+" << lli[d] * DH[d];
if (d < dim - 1)
cout << ",";
else
cout << ")--";
}
cout << "(";
for (int d = 0; d < dim; d++)
{
cout << bbox[dim + d] << "-" << uui[d] * DH[d];
if (d < dim - 1)
cout << ",";
else
cout << ")" << endl;
}
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
// --- Targeted point-to-point communication phase ---
// Compute consumer_rank[j] using the same deterministic formula as surface_integral // Compute consumer_rank[j] using the same deterministic formula as surface_integral
int *consumer_rank = new int[NN]; int *consumer_rank = new int[NN];
{ {
@@ -873,9 +1119,8 @@ void Patch::Interp_Points(MyList<var> *VarList,
delete[] send_offset; delete[] send_offset;
delete[] recv_offset; delete[] recv_offset;
delete[] send_count; delete[] send_count;
delete[] recv_count; delete[] recv_count;
delete[] consumer_rank; delete[] consumer_rank;
delete[] owner_rank;
#ifdef INTERP_LB_PROFILE #ifdef INTERP_LB_PROFILE
{ {
@@ -923,64 +1168,20 @@ void Patch::Interp_Points(MyList<var> *VarList,
memset(Shellf, 0, sizeof(double) * NN * num_var); memset(Shellf, 0, sizeof(double) * NN * num_var);
// owner_rank[j] stores the global rank that owns point j // Build global-to-local rank translation for Comm_here
int *owner_rank; MPI_Group world_group, local_group;
owner_rank = new int[NN]; MPI_Comm_group(MPI_COMM_WORLD, &world_group);
for (int j = 0; j < NN; j++) MPI_Comm_group(Comm_here, &local_group);
owner_rank[j] = -1;
// Build global-to-local rank translation for Comm_here double DH[dim];
MPI_Group world_group, local_group; for (int i = 0; i < dim; i++)
MPI_Comm_group(MPI_COMM_WORLD, &world_group); DH[i] = getdX(i);
MPI_Comm_group(Comm_here, &local_group); BlockBinIndex block_index;
build_block_bin_index(this, DH, block_index);
double DH[dim]; CachedInterpPlan &plan = get_cached_interp_plan(this, NN, XX, Symmetry, myrank, DH, block_index, lmyrank == 0, true);
for (int i = 0; i < dim; i++) const int *owner_rank = plan.owner_rank.data();
DH[i] = getdX(i);
BlockBinIndex block_index; interpolate_owned_points(VarList, Shellf, Symmetry, ordn, block_index, plan);
build_block_bin_index(this, DH, block_index);
for (int j = 0; j < NN; j++) // run along points
{
double pox[dim];
for (int i = 0; i < dim; i++)
{
pox[i] = XX[i][j];
if (lmyrank == 0 && (XX[i][j] < bbox[i] + lli[i] * DH[i] || XX[i][j] > bbox[dim + i] - uui[i] * DH[i]))
{
cout << "Patch::Interp_Points: point (";
for (int k = 0; k < dim; k++)
{
cout << XX[k][j];
if (k < dim - 1)
cout << ",";
else
cout << ") is out of current Patch." << endl;
}
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
const int block_i = find_block_index_for_point(block_index, pox, DH);
if (block_i >= 0)
{
Block *BP = block_index.views[block_i].bp;
owner_rank[j] = BP->rank;
if (myrank == BP->rank)
{
//---> interpolation
varl = VarList;
int k = 0;
while (varl) // run along variables
{
f_global_interp(BP->shape, BP->X[0], BP->X[1], BP->X[2], BP->fgfs[varl->data->sgfn], Shellf[j * num_var + k],
pox[0], pox[1], pox[2], ordn, varl->data->SoA, Symmetry);
varl = varl->next;
k++;
}
}
}
}
// Collect unique global owner ranks and translate to local ranks in Comm_here // Collect unique global owner ranks and translate to local ranks in Comm_here
// Then broadcast each owner's points via MPI_Bcast on Comm_here // Then broadcast each owner's points via MPI_Bcast on Comm_here
@@ -1008,10 +1209,9 @@ void Patch::Interp_Points(MyList<var> *VarList,
} }
} }
MPI_Group_free(&world_group); MPI_Group_free(&world_group);
MPI_Group_free(&local_group); MPI_Group_free(&local_group);
delete[] owner_rank; }
}
void Patch::checkBlock() void Patch::checkBlock()
{ {
int myrank; int myrank;

View File

@@ -8,7 +8,7 @@
#include "var.h" #include "var.h"
#include "macrodef.h" //need dim here; Vertex or Cell; ghost_width #include "macrodef.h" //need dim here; Vertex or Cell; ghost_width
class Patch class Patch
{ {
public: public:
@@ -50,6 +50,8 @@ public:
double *Shellf, int Symmetry, MPI_Comm Comm_here); double *Shellf, int Symmetry, MPI_Comm Comm_here);
void Find_Maximum(MyList<var> *VarList, double *XX, void Find_Maximum(MyList<var> *VarList, double *XX,
double *Shellf, MPI_Comm Comm_here); double *Shellf, MPI_Comm Comm_here);
}; };
#endif /* PATCH_H */ void patch_release_interp_plan_cache();
#endif /* PATCH_H */

File diff suppressed because it is too large Load Diff

View File

@@ -89,9 +89,12 @@ namespace Parallel
void transfermix(MyList<gridseg> **src, MyList<gridseg> **dst, void transfermix(MyList<gridseg> **src, MyList<gridseg> **dst,
MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /*target */, MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /*target */,
int Symmetry); int Symmetry);
void Sync(Patch *Pat, MyList<var> *VarList, int Symmetry); void Sync(Patch *Pat, MyList<var> *VarList, int Symmetry);
void Sync(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry); void Sync(Patch *Pat, MyList<var> *VarList, int Symmetry, const char *context);
void Sync_merged(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry); void Sync(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry);
void Sync(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry, const char *context);
void Sync_merged(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry);
void Sync_merged(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry, const char *context);
struct SyncCache { struct SyncCache {
bool valid; bool valid;
@@ -105,12 +108,13 @@ namespace Parallel
int *send_buf_caps; int *send_buf_caps;
int *recv_buf_caps; int *recv_buf_caps;
MPI_Request *reqs; MPI_Request *reqs;
MPI_Status *stats; MPI_Status *stats;
int max_reqs; int max_reqs;
bool lengths_valid; bool lengths_valid;
int *tc_req_node; int lengths_var_count;
int *tc_req_is_recv; int *tc_req_node;
int *tc_completed; int *tc_req_is_recv;
int *tc_completed;
SyncCache(); SyncCache();
void invalidate(); void invalidate();
void destroy(); void destroy();
@@ -121,19 +125,20 @@ namespace Parallel
MyList<var> *VarList1, MyList<var> *VarList2, MyList<var> *VarList1, MyList<var> *VarList2,
int Symmetry, SyncCache &cache); int Symmetry, SyncCache &cache);
struct AsyncSyncState { struct AsyncSyncState {
int req_no; int req_no;
bool active; bool active;
int *req_node; int mpi_tag;
int *req_is_recv; int *req_node;
int pending_recv; int *req_is_recv;
AsyncSyncState() : req_no(0), active(false), req_node(0), req_is_recv(0), pending_recv(0) {} int pending_recv;
}; AsyncSyncState() : req_no(0), active(false), mpi_tag(0), req_node(0), req_is_recv(0), pending_recv(0) {}
};
void Sync_start(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry, void Sync_start(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry,
SyncCache &cache, AsyncSyncState &state); SyncCache &cache, AsyncSyncState &state);
void Sync_finish(SyncCache &cache, AsyncSyncState &state, void Sync_finish(SyncCache &cache, AsyncSyncState &state,
MyList<var> *VarList, int Symmetry); MyList<var> *VarList, int Symmetry, bool unpack_to_host = true);
void OutBdLow2Hi(Patch *Patc, Patch *Patf, void OutBdLow2Hi(Patch *Patc, Patch *Patf,
MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */, MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */,
int Symmetry); int Symmetry);

View File

@@ -14,7 +14,8 @@ using namespace std;
#include <string.h> #include <string.h>
#endif #endif
#include <time.h> #include <time.h>
#include <unistd.h>
#include "macrodef.h" #include "macrodef.h"
#include "misc.h" #include "misc.h"
@@ -28,8 +29,12 @@ using namespace std;
#include "rungekutta4_rout.h" #include "rungekutta4_rout.h"
#include "sommerfeld_rout.h" #include "sommerfeld_rout.h"
#include "getnp4.h" #include "getnp4.h"
#include "shellfunctions.h" #include "shellfunctions.h"
#include "parameters.h" #include "parameters.h"
#ifdef USE_GPU
#include "bssn_macro.h"
#include "bssn_gpu.h"
#endif
#ifdef With_AHF #ifdef With_AHF
#include "derivatives.h" #include "derivatives.h"
@@ -740,11 +745,12 @@ void bssn_class::Initialize()
// Initialize sync caches (per-level, for predictor and corrector) // Initialize sync caches (per-level, for predictor and corrector)
sync_cache_pre = new Parallel::SyncCache[GH->levels]; sync_cache_pre = new Parallel::SyncCache[GH->levels];
sync_cache_cor = new Parallel::SyncCache[GH->levels]; sync_cache_cor = new Parallel::SyncCache[GH->levels];
sync_cache_rp_coarse = new Parallel::SyncCache[GH->levels]; sync_cache_rp_coarse = new Parallel::SyncCache[GH->levels];
sync_cache_rp_fine = new Parallel::SyncCache[GH->levels]; sync_cache_rp_fine = new Parallel::SyncCache[GH->levels];
sync_cache_restrict = new Parallel::SyncCache[GH->levels]; sync_cache_restrict = new Parallel::SyncCache[GH->levels];
sync_cache_outbd = new Parallel::SyncCache[GH->levels]; sync_cache_outbd = new Parallel::SyncCache[GH->levels];
} sync_cache_psi4 = new Parallel::SyncCache[GH->levels];
}
//================================================================================================ //================================================================================================
@@ -756,8 +762,8 @@ void bssn_class::Initialize()
//================================================================================================ //================================================================================================
bssn_class::~bssn_class() bssn_class::~bssn_class()
{ {
#ifdef With_AHF #ifdef With_AHF
AHList->clearList(); AHList->clearList();
AHDList->clearList(); AHDList->clearList();
@@ -1014,12 +1020,30 @@ bssn_class::~bssn_class()
sync_cache_rp_coarse[i].destroy(); sync_cache_rp_coarse[i].destroy();
delete[] sync_cache_rp_coarse; delete[] sync_cache_rp_coarse;
} }
if (sync_cache_rp_fine) if (sync_cache_rp_fine)
{ {
for (int i = 0; i < GH->levels; i++) for (int i = 0; i < GH->levels; i++)
sync_cache_rp_fine[i].destroy(); sync_cache_rp_fine[i].destroy();
delete[] sync_cache_rp_fine; delete[] sync_cache_rp_fine;
} }
if (sync_cache_restrict)
{
for (int i = 0; i < GH->levels; i++)
sync_cache_restrict[i].destroy();
delete[] sync_cache_restrict;
}
if (sync_cache_outbd)
{
for (int i = 0; i < GH->levels; i++)
sync_cache_outbd[i].destroy();
delete[] sync_cache_outbd;
}
if (sync_cache_psi4)
{
for (int i = 0; i < GH->levels; i++)
sync_cache_psi4[i].destroy();
delete[] sync_cache_psi4;
}
delete GH; delete GH;
#ifdef WithShell #ifdef WithShell
@@ -1052,8 +1076,25 @@ bssn_class::~bssn_class()
delete ConVMonitor; delete ConVMonitor;
delete Waveshell; delete Waveshell;
delete CheckPoint; delete CheckPoint;
} }
void bssn_class::InvalidateSyncCaches()
{
if (!GH)
return;
for (int il = 0; il < GH->levels; il++)
{
sync_cache_pre[il].invalidate();
sync_cache_cor[il].invalidate();
sync_cache_rp_coarse[il].invalidate();
sync_cache_rp_fine[il].invalidate();
sync_cache_restrict[il].invalidate();
sync_cache_outbd[il].invalidate();
sync_cache_psi4[il].invalidate();
}
}
//================================================================================================ //================================================================================================
@@ -2036,9 +2077,10 @@ void bssn_class::Read_Ansorg()
void bssn_class::Evolve(int Steps) void bssn_class::Evolve(int Steps)
{ {
clock_t prev_clock, curr_clock; clock_t prev_clock, curr_clock;
double LastDump = 0.0, LastCheck = 0.0, Last2dDump = 0.0; double LastDump = 0.0, LastCheck = 0.0, Last2dDump = 0.0;
LastAnas = 0; LastAnas = 0;
LastConsOut = 0;
#if 0 #if 0
//initial checkpoint for special uasge //initial checkpoint for special uasge
{ {
@@ -2223,7 +2265,7 @@ void bssn_class::Evolve(int Steps)
GH->Regrid(Symmetry, BH_num, Porgbr, Porg0, GH->Regrid(Symmetry, BH_num, Porgbr, Porg0,
SynchList_cor, OldStateList, StateList, SynchList_pre, SynchList_cor, OldStateList, StateList, SynchList_pre,
fgt(PhysTime - dT_mon, StartTime, dT_mon / 2), ErrorMonitor); fgt(PhysTime - dT_mon, StartTime, dT_mon / 2), ErrorMonitor);
for (int il = 0; il < GH->levels; il++) { sync_cache_pre[il].invalidate(); sync_cache_cor[il].invalidate(); sync_cache_rp_coarse[il].invalidate(); sync_cache_rp_fine[il].invalidate(); sync_cache_restrict[il].invalidate(); sync_cache_outbd[il].invalidate(); } InvalidateSyncCaches();
#endif #endif
#if (REGLEV == 0 && (PSTR == 1 || PSTR == 2)) #if (REGLEV == 0 && (PSTR == 1 || PSTR == 2))
@@ -2296,18 +2338,21 @@ void bssn_class::Evolve(int Steps)
//////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////
// When LastCheck >= CheckTime, perform runtime checks and output status data // When LastCheck >= CheckTime, perform runtime checks and output status data
if (LastCheck >= CheckTime) if (LastCheck >= CheckTime)
{ {
LastCheck = 0; LastCheck = 0;
CheckPoint->write_Black_Hole_position(BH_num_input, BH_num, Porg0, Porgbr, Mass); CheckPoint->write_Black_Hole_position(BH_num_input, BH_num, Porg0, Porgbr, Mass);
CheckPoint->writecheck_cgh(PhysTime, GH); CheckPoint->writecheck_cgh(PhysTime, GH);
#ifdef WithShell #ifdef WithShell
CheckPoint->writecheck_sh(PhysTime, SH); CheckPoint->writecheck_sh(PhysTime, SH);
#endif #endif
CheckPoint->write_bssn(LastDump, Last2dDump, LastAnas); CheckPoint->write_bssn(LastDump, Last2dDump, LastAnas);
} }
}
// Keep output/analysis phases aligned across ranks before the next coarse step.
MPI_Barrier(MPI_COMM_WORLD);
}
/* /*
#ifdef With_AHF #ifdef With_AHF
// final apparent horizon finding // final apparent horizon finding
@@ -2441,7 +2486,7 @@ void bssn_class::RecursiveStep(int lev)
if (GH->Regrid_Onelevel(lev, Symmetry, BH_num, Porgbr, Porg0, if (GH->Regrid_Onelevel(lev, Symmetry, BH_num, Porgbr, Porg0,
SynchList_cor, OldStateList, StateList, SynchList_pre, SynchList_cor, OldStateList, StateList, SynchList_pre,
fgt(PhysTime - dT_lev, StartTime, dT_lev / 2), ErrorMonitor)) fgt(PhysTime - dT_lev, StartTime, dT_lev / 2), ErrorMonitor))
for (int il = 0; il < GH->levels; il++) { sync_cache_pre[il].invalidate(); sync_cache_cor[il].invalidate(); sync_cache_rp_coarse[il].invalidate(); sync_cache_rp_fine[il].invalidate(); sync_cache_restrict[il].invalidate(); sync_cache_outbd[il].invalidate(); } InvalidateSyncCaches();
#endif #endif
} }
@@ -2620,7 +2665,7 @@ void bssn_class::ParallelStep()
if (GH->Regrid_Onelevel(GH->mylev, Symmetry, BH_num, Porgbr, Porg0, if (GH->Regrid_Onelevel(GH->mylev, Symmetry, BH_num, Porgbr, Porg0,
SynchList_cor, OldStateList, StateList, SynchList_pre, SynchList_cor, OldStateList, StateList, SynchList_pre,
fgt(PhysTime - dT_lev, StartTime, dT_lev / 2), ErrorMonitor)) fgt(PhysTime - dT_lev, StartTime, dT_lev / 2), ErrorMonitor))
for (int il = 0; il < GH->levels; il++) { sync_cache_pre[il].invalidate(); sync_cache_cor[il].invalidate(); sync_cache_rp_coarse[il].invalidate(); sync_cache_rp_fine[il].invalidate(); sync_cache_restrict[il].invalidate(); sync_cache_outbd[il].invalidate(); } InvalidateSyncCaches();
#endif #endif
} }
@@ -2787,7 +2832,7 @@ void bssn_class::ParallelStep()
if (GH->Regrid_Onelevel(lev + 1, Symmetry, BH_num, Porgbr, Porg0, if (GH->Regrid_Onelevel(lev + 1, Symmetry, BH_num, Porgbr, Porg0,
SynchList_cor, OldStateList, StateList, SynchList_pre, SynchList_cor, OldStateList, StateList, SynchList_pre,
fgt(PhysTime - dT_levp1, StartTime, dT_levp1 / 2), ErrorMonitor)) fgt(PhysTime - dT_levp1, StartTime, dT_levp1 / 2), ErrorMonitor))
for (int il = 0; il < GH->levels; il++) { sync_cache_pre[il].invalidate(); sync_cache_cor[il].invalidate(); sync_cache_rp_coarse[il].invalidate(); sync_cache_rp_fine[il].invalidate(); sync_cache_restrict[il].invalidate(); sync_cache_outbd[il].invalidate(); } InvalidateSyncCaches();
// a_stream.clear(); // a_stream.clear();
// a_stream.str(""); // a_stream.str("");
@@ -2802,7 +2847,7 @@ void bssn_class::ParallelStep()
if (GH->Regrid_Onelevel(lev, Symmetry, BH_num, Porgbr, Porg0, if (GH->Regrid_Onelevel(lev, Symmetry, BH_num, Porgbr, Porg0,
SynchList_cor, OldStateList, StateList, SynchList_pre, SynchList_cor, OldStateList, StateList, SynchList_pre,
fgt(PhysTime - dT_lev, StartTime, dT_lev / 2), ErrorMonitor)) fgt(PhysTime - dT_lev, StartTime, dT_lev / 2), ErrorMonitor))
for (int il = 0; il < GH->levels; il++) { sync_cache_pre[il].invalidate(); sync_cache_cor[il].invalidate(); sync_cache_rp_coarse[il].invalidate(); sync_cache_rp_fine[il].invalidate(); sync_cache_restrict[il].invalidate(); sync_cache_outbd[il].invalidate(); } InvalidateSyncCaches();
// a_stream.clear(); // a_stream.clear();
// a_stream.str(""); // a_stream.str("");
@@ -2821,7 +2866,7 @@ void bssn_class::ParallelStep()
if (GH->Regrid_Onelevel(lev - 1, Symmetry, BH_num, Porgbr, Porg0, if (GH->Regrid_Onelevel(lev - 1, Symmetry, BH_num, Porgbr, Porg0,
SynchList_cor, OldStateList, StateList, SynchList_pre, SynchList_cor, OldStateList, StateList, SynchList_pre,
fgt(PhysTime - dT_lev, StartTime, dT_levm1 / 2), ErrorMonitor)) fgt(PhysTime - dT_lev, StartTime, dT_levm1 / 2), ErrorMonitor))
for (int il = 0; il < GH->levels; il++) { sync_cache_pre[il].invalidate(); sync_cache_cor[il].invalidate(); sync_cache_rp_coarse[il].invalidate(); sync_cache_rp_fine[il].invalidate(); sync_cache_restrict[il].invalidate(); sync_cache_outbd[il].invalidate(); } InvalidateSyncCaches();
// a_stream.clear(); // a_stream.clear();
// a_stream.str(""); // a_stream.str("");
@@ -2837,7 +2882,7 @@ void bssn_class::ParallelStep()
if (GH->Regrid_Onelevel(lev - 1, Symmetry, BH_num, Porgbr, Porg0, if (GH->Regrid_Onelevel(lev - 1, Symmetry, BH_num, Porgbr, Porg0,
SynchList_cor, OldStateList, StateList, SynchList_pre, SynchList_cor, OldStateList, StateList, SynchList_pre,
fgt(PhysTime - dT_lev, StartTime, dT_levm1 / 2), ErrorMonitor)) fgt(PhysTime - dT_lev, StartTime, dT_levm1 / 2), ErrorMonitor))
for (int il = 0; il < GH->levels; il++) { sync_cache_pre[il].invalidate(); sync_cache_cor[il].invalidate(); sync_cache_rp_coarse[il].invalidate(); sync_cache_rp_fine[il].invalidate(); sync_cache_restrict[il].invalidate(); sync_cache_outbd[il].invalidate(); } InvalidateSyncCaches();
// a_stream.clear(); // a_stream.clear();
// a_stream.str(""); // a_stream.str("");
@@ -3026,9 +3071,14 @@ void bssn_class::RecursiveStep(int lev, int num) // in all 2^(lev+1)-1 steps
#if (PSTR == 0) #if (PSTR == 0)
#if 1 #if 1
void bssn_class::Step(int lev, int YN) void bssn_class::Step(int lev, int YN)
{ {
setpbh(BH_num, Porg0, Mass, BH_num_input); #ifdef USE_GPU
Step_MainPath_GPU(lev, YN);
return;
#endif
setpbh(BH_num, Porg0, Mass, BH_num_input);
double dT_lev = dT * pow(0.5, Mymax(lev, trfls)); double dT_lev = dT * pow(0.5, Mymax(lev, trfls));
@@ -6248,7 +6298,7 @@ for(int ilev = GH->levels-1;ilev>=lev;ilev--)
for(int ilev=GH->levels-1;ilev>lev;ilev--) for(int ilev=GH->levels-1;ilev>lev;ilev--)
RestrictProlong(ilev,1,false,DG_List,DG_List,DG_List); RestrictProlong(ilev,1,false,DG_List,DG_List,DG_List);
#else #else
Parallel::Sync(GH->PatL[lev], DG_List, Symmetry); Parallel::Sync_cached(GH->PatL[lev], DG_List, Symmetry, sync_cache_psi4[lev]);
#endif #endif
#ifdef WithShell #ifdef WithShell
@@ -6903,10 +6953,10 @@ void bssn_class::AnalysisStuff(int lev, double dT_lev)
{ {
LastAnas += dT_lev; LastAnas += dT_lev;
if (LastAnas >= AnasTime) if (LastAnas >= AnasTime)
{ {
#ifdef Point_Psi4 #ifdef Point_Psi4
#error "not support parallel levels yet" #error "not support parallel levels yet"
// Gam_ijk and R_ij have been calculated in Interp_Constraint() // Gam_ijk and R_ij have been calculated in Interp_Constraint()
double SYM = 1, ANT = -1; double SYM = 1, ANT = -1;
for (int levh = lev; levh < GH->levels; levh++) for (int levh = lev; levh < GH->levels; levh++)
@@ -7250,9 +7300,9 @@ void bssn_class::AnalysisStuff(int lev, double dT_lev)
//================================================================================================ //================================================================================================
void bssn_class::Constraint_Out() void bssn_class::Constraint_Out()
{ {
LastConsOut += dT * pow(0.5, Mymax(0, trfls)); LastConsOut += dT * pow(0.5, Mymax(0, trfls));
if (LastConsOut >= AnasTime) if (LastConsOut >= AnasTime)
// Constraint violation // Constraint violation
@@ -7272,12 +7322,15 @@ void bssn_class::Constraint_Out()
MyList<Block> *BP = Pp->data->blb; MyList<Block> *BP = Pp->data->blb;
while (BP) while (BP)
{ {
Block *cg = BP->data; Block *cg = BP->data;
if (myrank == cg->rank) if (myrank == cg->rank)
{ {
f_compute_rhs_bssn(cg->shape, TRK4, cg->X[0], cg->X[1], cg->X[2], #ifdef USE_GPU
cg->fgfs[phi0->sgfn], cg->fgfs[trK0->sgfn], gpu_rhs(CALLED_BY_CONSTRAINT_CONS_ONLY, myrank, RHS_PARA_CALLED_Constraint_Out);
cg->fgfs[gxx0->sgfn], cg->fgfs[gxy0->sgfn], cg->fgfs[gxz0->sgfn], #else
f_compute_rhs_bssn(cg->shape, TRK4, cg->X[0], cg->X[1], cg->X[2],
cg->fgfs[phi0->sgfn], cg->fgfs[trK0->sgfn],
cg->fgfs[gxx0->sgfn], cg->fgfs[gxy0->sgfn], cg->fgfs[gxz0->sgfn],
cg->fgfs[gyy0->sgfn], cg->fgfs[gyz0->sgfn], cg->fgfs[gzz0->sgfn], cg->fgfs[gyy0->sgfn], cg->fgfs[gyz0->sgfn], cg->fgfs[gzz0->sgfn],
cg->fgfs[Axx0->sgfn], cg->fgfs[Axy0->sgfn], cg->fgfs[Axz0->sgfn], cg->fgfs[Axx0->sgfn], cg->fgfs[Axy0->sgfn], cg->fgfs[Axz0->sgfn],
cg->fgfs[Ayy0->sgfn], cg->fgfs[Ayz0->sgfn], cg->fgfs[Azz0->sgfn], cg->fgfs[Ayy0->sgfn], cg->fgfs[Ayz0->sgfn], cg->fgfs[Azz0->sgfn],
@@ -7305,11 +7358,12 @@ void bssn_class::Constraint_Out()
cg->fgfs[Gamzyy->sgfn], cg->fgfs[Gamzyz->sgfn], cg->fgfs[Gamzzz->sgfn], cg->fgfs[Gamzyy->sgfn], cg->fgfs[Gamzyz->sgfn], cg->fgfs[Gamzzz->sgfn],
cg->fgfs[Rxx->sgfn], cg->fgfs[Rxy->sgfn], cg->fgfs[Rxz->sgfn], cg->fgfs[Rxx->sgfn], cg->fgfs[Rxy->sgfn], cg->fgfs[Rxz->sgfn],
cg->fgfs[Ryy->sgfn], cg->fgfs[Ryz->sgfn], cg->fgfs[Rzz->sgfn], cg->fgfs[Ryy->sgfn], cg->fgfs[Ryz->sgfn], cg->fgfs[Rzz->sgfn],
cg->fgfs[Cons_Ham->sgfn], cg->fgfs[Cons_Ham->sgfn],
cg->fgfs[Cons_Px->sgfn], cg->fgfs[Cons_Py->sgfn], cg->fgfs[Cons_Pz->sgfn], cg->fgfs[Cons_Px->sgfn], cg->fgfs[Cons_Py->sgfn], cg->fgfs[Cons_Pz->sgfn],
cg->fgfs[Cons_Gx->sgfn], cg->fgfs[Cons_Gy->sgfn], cg->fgfs[Cons_Gz->sgfn], cg->fgfs[Cons_Gx->sgfn], cg->fgfs[Cons_Gy->sgfn], cg->fgfs[Cons_Gz->sgfn],
Symmetry, lev, ndeps, pre); Symmetry, lev, ndeps, pre);
} #endif
}
if (BP == Pp->data->ble) if (BP == Pp->data->ble)
break; break;
BP = BP->next; BP = BP->next;
@@ -7317,7 +7371,7 @@ void bssn_class::Constraint_Out()
Pp = Pp->next; Pp = Pp->next;
} }
} }
Parallel::Sync(GH->PatL[lev], ConstraintList, Symmetry); Parallel::Sync(GH->PatL[lev], ConstraintList, Symmetry, "bssn_class::Constraint_Out[level]");
} }
#ifdef WithShell #ifdef WithShell
if (0) // if the constrait quantities can be reused from the step rhs calculation if (0) // if the constrait quantities can be reused from the step rhs calculation
@@ -7539,7 +7593,7 @@ void bssn_class::AH_Prepare_derivatives()
} }
Pp = Pp->next; Pp = Pp->next;
} }
Parallel::Sync(GH->PatL[lev], AHDList, Symmetry); Parallel::Sync(GH->PatL[lev], AHDList, Symmetry, "bssn_class::AH_Prepare_derivatives");
} }
} }
@@ -7775,12 +7829,15 @@ void bssn_class::Interp_Constraint(bool infg)
MyList<Block> *BP = Pp->data->blb; MyList<Block> *BP = Pp->data->blb;
while (BP) while (BP)
{ {
Block *cg = BP->data; Block *cg = BP->data;
if (myrank == cg->rank) if (myrank == cg->rank)
{ {
f_compute_rhs_bssn(cg->shape, TRK4, cg->X[0], cg->X[1], cg->X[2], #ifdef USE_GPU
cg->fgfs[phi0->sgfn], cg->fgfs[trK0->sgfn], gpu_rhs(CALLED_BY_CONSTRAINT_CONS_ONLY, myrank, RHS_PARA_CALLED_Interp_Constraint);
cg->fgfs[gxx0->sgfn], cg->fgfs[gxy0->sgfn], cg->fgfs[gxz0->sgfn], #else
f_compute_rhs_bssn(cg->shape, TRK4, cg->X[0], cg->X[1], cg->X[2],
cg->fgfs[phi0->sgfn], cg->fgfs[trK0->sgfn],
cg->fgfs[gxx0->sgfn], cg->fgfs[gxy0->sgfn], cg->fgfs[gxz0->sgfn],
cg->fgfs[gyy0->sgfn], cg->fgfs[gyz0->sgfn], cg->fgfs[gzz0->sgfn], cg->fgfs[gyy0->sgfn], cg->fgfs[gyz0->sgfn], cg->fgfs[gzz0->sgfn],
cg->fgfs[Axx0->sgfn], cg->fgfs[Axy0->sgfn], cg->fgfs[Axz0->sgfn], cg->fgfs[Axx0->sgfn], cg->fgfs[Axy0->sgfn], cg->fgfs[Axz0->sgfn],
cg->fgfs[Ayy0->sgfn], cg->fgfs[Ayz0->sgfn], cg->fgfs[Azz0->sgfn], cg->fgfs[Ayy0->sgfn], cg->fgfs[Ayz0->sgfn], cg->fgfs[Azz0->sgfn],
@@ -7808,11 +7865,12 @@ void bssn_class::Interp_Constraint(bool infg)
cg->fgfs[Gamzyy->sgfn], cg->fgfs[Gamzyz->sgfn], cg->fgfs[Gamzzz->sgfn], cg->fgfs[Gamzyy->sgfn], cg->fgfs[Gamzyz->sgfn], cg->fgfs[Gamzzz->sgfn],
cg->fgfs[Rxx->sgfn], cg->fgfs[Rxy->sgfn], cg->fgfs[Rxz->sgfn], cg->fgfs[Rxx->sgfn], cg->fgfs[Rxy->sgfn], cg->fgfs[Rxz->sgfn],
cg->fgfs[Ryy->sgfn], cg->fgfs[Ryz->sgfn], cg->fgfs[Rzz->sgfn], cg->fgfs[Ryy->sgfn], cg->fgfs[Ryz->sgfn], cg->fgfs[Rzz->sgfn],
cg->fgfs[Cons_Ham->sgfn], cg->fgfs[Cons_Ham->sgfn],
cg->fgfs[Cons_Px->sgfn], cg->fgfs[Cons_Py->sgfn], cg->fgfs[Cons_Pz->sgfn], cg->fgfs[Cons_Px->sgfn], cg->fgfs[Cons_Py->sgfn], cg->fgfs[Cons_Pz->sgfn],
cg->fgfs[Cons_Gx->sgfn], cg->fgfs[Cons_Gy->sgfn], cg->fgfs[Cons_Gz->sgfn], cg->fgfs[Cons_Gx->sgfn], cg->fgfs[Cons_Gy->sgfn], cg->fgfs[Cons_Gz->sgfn],
Symmetry, lev, ndeps, pre); Symmetry, lev, ndeps, pre);
} #endif
}
if (BP == Pp->data->ble) if (BP == Pp->data->ble)
break; break;
BP = BP->next; BP = BP->next;
@@ -7820,7 +7878,7 @@ void bssn_class::Interp_Constraint(bool infg)
Pp = Pp->next; Pp = Pp->next;
} }
} }
Parallel::Sync(GH->PatL[lev], ConstraintList, Symmetry); Parallel::Sync(GH->PatL[lev], ConstraintList, Symmetry, "bssn_class::Interp_Constraint[level]");
} }
#ifdef WithShell #ifdef WithShell
if (0) // if the constrait quantities can be reused from the step rhs calculation if (0) // if the constrait quantities can be reused from the step rhs calculation
@@ -8078,7 +8136,7 @@ void bssn_class::Compute_Constraint()
Pp = Pp->next; Pp = Pp->next;
} }
} }
Parallel::Sync(GH->PatL[lev], ConstraintList, Symmetry); Parallel::Sync(GH->PatL[lev], ConstraintList, Symmetry, "bssn_class::Compute_Constraint[level]");
} }
// prolong restrict constraint quantities // prolong restrict constraint quantities
for (lev = GH->levels - 1; lev > 0; lev--) for (lev = GH->levels - 1; lev > 0; lev--)
@@ -8391,12 +8449,18 @@ void bssn_class::Enforce_algcon(int lev, int fg)
//================================================================================================ //================================================================================================
bool bssn_class::check_Stdin_Abort() bool bssn_class::check_Stdin_Abort()
{ {
// Non-interactive launches (mpirun via Python/subprocess, batch jobs, redirected stdin)
fd_set readfds; // should not probe stdin. Some MPI runtimes treat stdin as a managed channel and can
// fail when rank 0 polls/consumes it.
struct timeval timeout; if (!isatty(STDIN_FILENO)) {
return false;
}
fd_set readfds;
struct timeval timeout;
FD_ZERO(&readfds); FD_ZERO(&readfds);
FD_SET(STDIN_FILENO, &readfds); FD_SET(STDIN_FILENO, &readfds);
@@ -8405,14 +8469,17 @@ bool bssn_class::check_Stdin_Abort()
timeout.tv_sec = 0; timeout.tv_sec = 0;
timeout.tv_usec = 0; timeout.tv_usec = 0;
int activity = select(STDIN_FILENO + 1, &readfds, nullptr, nullptr, &timeout); int activity = select(STDIN_FILENO + 1, &readfds, nullptr, nullptr, &timeout);
if (activity <= 0) {
if (activity > 0 && FD_ISSET(STDIN_FILENO, &readfds)) { return false;
string input_abort; }
if (cin >> input_abort) {
if (input_abort == "stop") { if (FD_ISSET(STDIN_FILENO, &readfds)) {
return true; string input_abort;
} if (cin >> input_abort) {
if (input_abort == "stop") {
return true;
}
} }
} }

View File

@@ -128,10 +128,11 @@ public:
Parallel::SyncCache *sync_cache_pre; // per-level cache for predictor sync Parallel::SyncCache *sync_cache_pre; // per-level cache for predictor sync
Parallel::SyncCache *sync_cache_cor; // per-level cache for corrector sync Parallel::SyncCache *sync_cache_cor; // per-level cache for corrector sync
Parallel::SyncCache *sync_cache_rp_coarse; // RestrictProlong sync on PatL[lev-1] Parallel::SyncCache *sync_cache_rp_coarse; // RestrictProlong sync on PatL[lev-1]
Parallel::SyncCache *sync_cache_rp_fine; // RestrictProlong sync on PatL[lev] Parallel::SyncCache *sync_cache_rp_fine; // RestrictProlong sync on PatL[lev]
Parallel::SyncCache *sync_cache_restrict; // cached Restrict in RestrictProlong Parallel::SyncCache *sync_cache_restrict; // cached Restrict in RestrictProlong
Parallel::SyncCache *sync_cache_outbd; // cached OutBdLow2Hi in RestrictProlong Parallel::SyncCache *sync_cache_outbd; // cached OutBdLow2Hi in RestrictProlong
Parallel::SyncCache *sync_cache_psi4; // cached Psi4 sync on PatL[lev]
monitor *ErrorMonitor, *Psi4Monitor, *BHMonitor, *MAPMonitor; monitor *ErrorMonitor, *Psi4Monitor, *BHMonitor, *MAPMonitor;
monitor *ConVMonitor; monitor *ConVMonitor;
@@ -171,16 +172,20 @@ public:
bool check_Stdin_Abort(); bool check_Stdin_Abort();
virtual void Setup_Initial_Data_Cao(); virtual void Setup_Initial_Data_Cao();
virtual void Setup_Initial_Data_Lousto(); virtual void Setup_Initial_Data_Lousto();
virtual void Initialize(); virtual void Initialize();
virtual void Read_Ansorg(); virtual void Read_Ansorg();
virtual void Read_Pablo() {}; virtual void Read_Pablo() {};
virtual void Compute_Psi4(int lev); void InvalidateSyncCaches();
virtual void Step(int lev, int YN); virtual void Compute_Psi4(int lev);
virtual void Interp_Constraint(bool infg); virtual void Step(int lev, int YN);
virtual void Constraint_Out(); #ifdef USE_GPU
virtual void Compute_Constraint(); void Step_MainPath_GPU(int lev, int YN);
#endif
virtual void Interp_Constraint(bool infg);
virtual void Constraint_Out();
virtual void Compute_Constraint();
#ifdef With_AHF #ifdef With_AHF
protected: protected:

File diff suppressed because it is too large Load Diff

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@@ -0,0 +1,68 @@
#ifndef BSSN_CUDA_OPS_H
#define BSSN_CUDA_OPS_H
int bssn_cuda_enforce_ga(int *ex,
double *dxx, double *gxy, double *gxz,
double *dyy, double *gyz, double *dzz,
double *Axx, double *Axy, double *Axz,
double *Ayy, double *Ayz, double *Azz);
int bssn_cuda_rk4_boundary_var(int *ex, double dT,
const double *X, const double *Y, const double *Z,
double xmin, double ymin, double zmin,
double xmax, double ymax, double zmax,
const double *state0,
const double *phi_field,
const double *lap_field,
const double *boundary_src,
double *stage_data,
double *rhs_accum,
double propspeed,
const double SoA[3],
int symmetry,
int lev,
int rk_stage,
bool force_host_boundary_fix,
bool download_to_host = true);
int bssn_cuda_rk4_boundary_batch(int *ex, double dT,
const double *X, const double *Y, const double *Z,
double xmin, double ymin, double zmin,
double xmax, double ymax, double zmax,
int symmetry,
const double *const *state0_list,
double *const *stage_data_list,
double *const *rhs_accum_list,
int num_var,
int rk_stage,
bool download_to_host = false);
int bssn_cuda_lowerbound(int *ex, double *chi, double tinny, bool download_to_host = true);
int bssn_cuda_download_buffer(int *ex, double *host_ptr);
void bssn_cuda_release_rk4_caches();
void bssn_cuda_release_interp_caches();
int bssn_cuda_prolong3_pack(int wei,
const double *llbc, const double *uubc, const int *extc, const double *func,
const double *llbf, const double *uubf, const int *extf, double *funf,
const double *llbp, const double *uubp,
const double *SoA, int symmetry);
int bssn_cuda_restrict3_pack(int wei,
const double *llbc, const double *uubc, const int *extc, double *func,
const double *llbf, const double *uubf, const int *extf, const double *funf,
const double *llbr, const double *uubr,
const double *SoA, int symmetry);
int bssn_cuda_interp_points_batch(const int *ex,
const double *X, const double *Y, const double *Z,
const double *const *fields,
const double *soa_flat,
int num_var,
const double *px, const double *py, const double *pz,
int num_points,
int ordn,
int symmetry,
double *out);
#endif

View File

@@ -0,0 +1,936 @@
#include "macrodef.h"
#ifdef USE_GPU
#include <algorithm>
#include <cmath>
#include <cstring>
#include <cstdlib>
#include <iomanip>
#include <vector>
#include "bssn_class.h"
#include "bssn_cuda_ops.h"
#include "bssn_gpu.h"
#include "bssn_macro.h"
namespace
{
enum StageProfileMetric
{
STAGE_PROFILE_TOTAL = 0,
STAGE_PROFILE_RHS,
STAGE_PROFILE_RUN_STAGE,
STAGE_PROFILE_RUN_STAGE_DEVICE,
STAGE_PROFILE_RUN_STAGE_HOST_FIX,
STAGE_PROFILE_LOWERBOUND,
STAGE_PROFILE_ENSURE,
STAGE_PROFILE_DOWNLOAD,
STAGE_PROFILE_CLEAR_CACHE,
STAGE_PROFILE_SYNC_START,
STAGE_PROFILE_SYNC_FINISH,
STAGE_PROFILE_REFRESH,
STAGE_PROFILE_COUNT
};
static const int kStageProfileMaxLevels = 32;
struct StageProfileStore
{
bool env_checked;
bool enabled;
int calls[kStageProfileMaxLevels];
double metric[kStageProfileMaxLevels][STAGE_PROFILE_COUNT];
};
StageProfileStore &stage_profile_store()
{
static StageProfileStore store = {};
return store;
}
bool stage_profile_enabled()
{
StageProfileStore &store = stage_profile_store();
if (!store.env_checked)
{
const char *env = getenv("AMSS_GPU_STAGE_TIMING");
store.enabled = (env && env[0] && strcmp(env, "0") != 0);
store.env_checked = true;
}
return store.enabled;
}
void stage_profile_note_call(int lev)
{
if (lev >= 0 && lev < kStageProfileMaxLevels)
stage_profile_store().calls[lev]++;
}
void stage_profile_add(int lev, StageProfileMetric metric, double seconds)
{
if (lev >= 0 && lev < kStageProfileMaxLevels)
stage_profile_store().metric[lev][metric] += seconds;
}
const char *stage_profile_metric_name(StageProfileMetric metric)
{
switch (metric)
{
case STAGE_PROFILE_TOTAL:
return "total";
case STAGE_PROFILE_RHS:
return "rhs";
case STAGE_PROFILE_RUN_STAGE:
return "run_stage";
case STAGE_PROFILE_RUN_STAGE_DEVICE:
return "run_stage_dev";
case STAGE_PROFILE_RUN_STAGE_HOST_FIX:
return "run_stage_host";
case STAGE_PROFILE_LOWERBOUND:
return "lower";
case STAGE_PROFILE_ENSURE:
return "ensure";
case STAGE_PROFILE_DOWNLOAD:
return "download";
case STAGE_PROFILE_CLEAR_CACHE:
return "clear_cache";
case STAGE_PROFILE_SYNC_START:
return "sync_start";
case STAGE_PROFILE_SYNC_FINISH:
return "sync_finish";
case STAGE_PROFILE_REFRESH:
return "refresh";
default:
return "unknown";
}
}
} // namespace
void bssn_cuda_dump_stage_profile()
{
if (!stage_profile_enabled())
return;
int myrank = 0;
MPI_Comm_rank(MPI_COMM_WORLD, &myrank);
StageProfileStore &store = stage_profile_store();
int global_calls_sum[kStageProfileMaxLevels] = {};
double global_metric_sum[kStageProfileMaxLevels][STAGE_PROFILE_COUNT] = {};
double global_metric_max[kStageProfileMaxLevels][STAGE_PROFILE_COUNT] = {};
MPI_Reduce(store.calls, global_calls_sum, kStageProfileMaxLevels, MPI_INT, MPI_SUM, 0, MPI_COMM_WORLD);
MPI_Reduce(store.metric[0], global_metric_sum[0],
kStageProfileMaxLevels * STAGE_PROFILE_COUNT,
MPI_DOUBLE, MPI_SUM, 0, MPI_COMM_WORLD);
MPI_Reduce(store.metric[0], global_metric_max[0],
kStageProfileMaxLevels * STAGE_PROFILE_COUNT,
MPI_DOUBLE, MPI_MAX, 0, MPI_COMM_WORLD);
if (myrank != 0)
return;
cout << endl;
cout << " GPU stage timing summary (sum/max over MPI ranks) " << endl;
cout << " lev calls";
for (int metric = 0; metric < STAGE_PROFILE_COUNT; ++metric)
cout << " " << setw(22) << stage_profile_metric_name(static_cast<StageProfileMetric>(metric));
cout << endl;
for (int lev = 0; lev < kStageProfileMaxLevels; ++lev)
{
if (global_calls_sum[lev] == 0)
continue;
cout << setw(4) << lev << " " << setw(5) << global_calls_sum[lev];
for (int metric = 0; metric < STAGE_PROFILE_COUNT; ++metric)
{
cout << " "
<< setw(10) << setprecision(6) << fixed << global_metric_sum[lev][metric]
<< "/"
<< setw(10) << setprecision(6) << fixed << global_metric_max[lev][metric];
}
cout << endl;
}
cout << endl;
}
void bssn_class::Step_MainPath_GPU(int lev, int YN)
{
#ifdef WithShell
#error "Step_MainPath_GPU currently supports Patch grids only."
#endif
const bool profile_enabled = stage_profile_enabled();
const double step_total_begin = profile_enabled ? MPI_Wtime() : 0.0;
if (profile_enabled)
stage_profile_note_call(lev);
if (bssn_gpu_bind_process_device(myrank))
{
cerr << "GPU device bind failure on MPI rank " << myrank << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
if (profile_enabled)
{
const double t0 = MPI_Wtime();
bssn_gpu_clear_cached_device_buffers();
stage_profile_add(lev, STAGE_PROFILE_CLEAR_CACHE, MPI_Wtime() - t0);
}
else
bssn_gpu_clear_cached_device_buffers();
setpbh(BH_num, Porg0, Mass, BH_num_input);
const double dT_lev = dT * pow(0.5, Mymax(lev, trfls));
#if (MAPBH == 1)
if (BH_num > 0 && lev == GH->levels - 1)
{
compute_Porg_rhs(Porg0, Porg_rhs, Sfx0, Sfy0, Sfz0, lev);
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
for (int ith = 0; ith < 3; ith++)
Porg1[ithBH][ith] = Porg0[ithBH][ith] + Porg_rhs[ithBH][ith] * dT_lev;
if (Symmetry > 0)
Porg1[ithBH][2] = fabs(Porg1[ithBH][2]);
if (Symmetry == 2)
{
Porg1[ithBH][0] = fabs(Porg1[ithBH][0]);
Porg1[ithBH][1] = fabs(Porg1[ithBH][1]);
}
}
}
if (lev == a_lev)
AnalysisStuff(lev, dT_lev);
#endif
#ifdef With_AHF
AH_Step_Find(lev, dT_lev);
#endif
const bool BB = fgt(PhysTime, StartTime, dT_lev / 2);
(void)BB;
double ndeps = (lev < GH->movls) ? numepsb : numepss;
double TRK4 = PhysTime;
int iter_count = 0;
int pre = 0, cor = 1;
int ERROR = 0;
const bool keep_stage_sync_on_device = (RPS == 1) && (MAPBH == 1) && (REGLEV == 0);
auto run_stage_on_block =
[&](Block *cg, Patch *patch, MyList<var> *state0_list,
MyList<var> *boundary_src_list, MyList<var> *stage_data_list,
MyList<var> *rhs_list, int rk_stage) {
MyList<var> *varl0 = state0_list;
MyList<var> *varlb = boundary_src_list;
MyList<var> *varls = stage_data_list;
MyList<var> *varlr = rhs_list;
std::vector<const double *> batch_state0;
std::vector<double *> batch_stage;
std::vector<double *> batch_rhs;
while (varl0)
{
const bool force_host_boundary_fix = false;
const bool can_batch_device_path = (lev > 0) && !force_host_boundary_fix;
if (can_batch_device_path)
{
batch_state0.push_back(cg->fgfs[varl0->data->sgfn]);
batch_stage.push_back(cg->fgfs[varls->data->sgfn]);
batch_rhs.push_back(cg->fgfs[varlr->data->sgfn]);
varl0 = varl0->next;
varlb = varlb->next;
varls = varls->next;
varlr = varlr->next;
continue;
}
const double var_begin = profile_enabled ? MPI_Wtime() : 0.0;
if (bssn_cuda_rk4_boundary_var(cg->shape, dT_lev,
cg->X[0], cg->X[1], cg->X[2],
patch->bbox[0], patch->bbox[1], patch->bbox[2],
patch->bbox[3], patch->bbox[4], patch->bbox[5],
cg->fgfs[varl0->data->sgfn],
cg->fgfs[phi0->sgfn],
cg->fgfs[Lap0->sgfn],
cg->fgfs[varlb->data->sgfn],
cg->fgfs[varls->data->sgfn],
cg->fgfs[varlr->data->sgfn],
varl0->data->propspeed,
varl0->data->SoA,
Symmetry, lev, rk_stage,
force_host_boundary_fix, false))
{
cerr << "GPU rk4/boundary failure: lev=" << lev
<< " rk_stage=" << rk_stage
<< " var=" << varl0->data->name
<< " bbox=(" << cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
break;
}
if (profile_enabled)
{
stage_profile_add(lev,
force_host_boundary_fix ? STAGE_PROFILE_RUN_STAGE_HOST_FIX
: STAGE_PROFILE_RUN_STAGE_DEVICE,
MPI_Wtime() - var_begin);
}
varl0 = varl0->next;
varlb = varlb->next;
varls = varls->next;
varlr = varlr->next;
}
if (!ERROR && !batch_state0.empty())
{
const double batch_begin = profile_enabled ? MPI_Wtime() : 0.0;
if (bssn_cuda_rk4_boundary_batch(cg->shape, dT_lev,
cg->X[0], cg->X[1], cg->X[2],
patch->bbox[0], patch->bbox[1], patch->bbox[2],
patch->bbox[3], patch->bbox[4], patch->bbox[5],
Symmetry,
&batch_state0[0],
&batch_stage[0],
&batch_rhs[0],
static_cast<int>(batch_state0.size()),
rk_stage, false))
{
cerr << "GPU rk4/boundary batch failure: lev=" << lev
<< " rk_stage=" << rk_stage
<< " vars=" << batch_state0.size()
<< " bbox=(" << cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
}
else if (profile_enabled)
{
stage_profile_add(lev, STAGE_PROFILE_RUN_STAGE_DEVICE, MPI_Wtime() - batch_begin);
}
}
};
auto stage_download_var_list =
[&](Block *cg, MyList<var> *var_list, bool skip_unmapped) {
std::vector<double *> batch_host_ptrs;
std::vector<MyList<var> *> batch_vars;
while (var_list)
{
double *host_ptr = cg->fgfs[var_list->data->sgfn];
if (skip_unmapped && !bssn_gpu_find_device_buffer(host_ptr))
{
var_list = var_list->next;
continue;
}
batch_host_ptrs.push_back(host_ptr);
batch_vars.push_back(var_list);
var_list = var_list->next;
}
if (!batch_host_ptrs.empty() &&
bssn_gpu_download_buffer_batch(cg->shape, &batch_host_ptrs[0],
static_cast<int>(batch_host_ptrs.size())))
{
for (size_t i = 0; i < batch_host_ptrs.size(); ++i)
{
if (bssn_cuda_download_buffer(cg->shape, batch_host_ptrs[i]))
{
cerr << "GPU stage download failure: lev=" << lev
<< " var=" << batch_vars[i]->data->name
<< " bbox=(" << cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
break;
}
}
}
};
auto stage_download_patch_list =
[&](MyList<var> *var_list, bool skip_unmapped) {
MyList<Patch> *patch_it = GH->PatL[lev];
while (patch_it)
{
MyList<Block> *block_it = patch_it->data->blb;
while (block_it)
{
Block *cg = block_it->data;
if (myrank == cg->rank)
stage_download_var_list(cg, var_list, skip_unmapped);
if (block_it == patch_it->data->ble)
break;
block_it = block_it->next;
}
if (ERROR)
break;
patch_it = patch_it->next;
}
};
auto ensure_stage_device_var_list =
[&](Block *cg, MyList<var> *var_list) {
const int n = cg->shape[0] * cg->shape[1] * cg->shape[2];
while (var_list)
{
double *host_ptr = cg->fgfs[var_list->data->sgfn];
if (!bssn_gpu_find_device_buffer(host_ptr) &&
bssn_gpu_stage_upload_buffer(host_ptr, n))
{
cerr << "GPU state ensure failure: lev=" << lev
<< " var=" << var_list->data->name
<< " bbox=(" << cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
break;
}
var_list = var_list->next;
}
};
auto refresh_synced_device_regions =
[&](Block *cg, MyList<var> *var_list, Parallel::SyncCache &cache) {
std::vector<Parallel::gridseg *> local_segments;
for (int node = 0; node < cache.cpusize; ++node)
{
MyList<Parallel::gridseg> *seg = cache.combined_dst[node];
while (seg)
{
if (seg->data && seg->data->Bg == cg)
local_segments.push_back(seg->data);
seg = seg->next;
}
}
if (local_segments.empty())
return;
const int n = cg->shape[0] * cg->shape[1] * cg->shape[2];
while (var_list)
{
double *host_ptr = cg->fgfs[var_list->data->sgfn];
if (!bssn_gpu_find_device_buffer(host_ptr))
{
if (bssn_gpu_stage_upload_buffer(host_ptr, n))
{
cerr << "GPU sync refresh upload failure: lev=" << lev
<< " var=" << var_list->data->name
<< " bbox=(" << cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
break;
}
}
else
{
for (size_t i = 0; i < local_segments.size(); ++i)
{
Parallel::gridseg *seg = local_segments[i];
if (bssn_gpu_stage_upload_region(host_ptr,
cg->shape,
cg->bbox,
cg->bbox + dim,
seg->shape,
seg->llb))
{
cerr << "GPU sync region refresh failure: lev=" << lev
<< " var=" << var_list->data->name
<< " bbox=(" << cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
break;
}
}
if (ERROR)
break;
}
var_list = var_list->next;
}
};
auto refresh_stage_device_after_sync =
[&](MyList<var> *var_list, Parallel::SyncCache &cache) {
MyList<Patch> *patch_it = GH->PatL[lev];
while (patch_it)
{
MyList<Block> *block_it = patch_it->data->blb;
while (block_it)
{
Block *cg = block_it->data;
if (myrank == cg->rank)
refresh_synced_device_regions(cg, var_list, cache);
if (block_it == patch_it->data->ble)
break;
block_it = block_it->next;
}
if (ERROR)
break;
patch_it = patch_it->next;
}
};
auto refresh_stage_host_before_sync =
[&](MyList<var> *var_list, Parallel::SyncCache &cache) -> bool {
if (!cache.valid || !cache.combined_src || myrank < 0 || myrank >= cache.cpusize)
return false;
MyList<Patch> *patch_it = GH->PatL[lev];
while (patch_it)
{
MyList<Block> *block_it = patch_it->data->blb;
while (block_it)
{
Block *cg = block_it->data;
if (myrank == cg->rank)
{
std::vector<Parallel::gridseg *> local_segments;
MyList<Parallel::gridseg> *seg = cache.combined_src[myrank];
while (seg)
{
if (seg->data && seg->data->Bg == cg)
local_segments.push_back(seg->data);
seg = seg->next;
}
if (!local_segments.empty())
{
MyList<var> *var_it = var_list;
while (var_it)
{
double *host_ptr = cg->fgfs[var_it->data->sgfn];
for (size_t i = 0; i < local_segments.size(); ++i)
{
Parallel::gridseg *src_seg = local_segments[i];
if (bssn_gpu_stage_download_region(host_ptr,
cg->shape,
cg->bbox,
cg->bbox + dim,
src_seg->shape,
src_seg->llb))
{
cerr << "GPU sync region download failure: lev=" << lev
<< " var=" << var_it->data->name
<< " bbox=(" << cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
return true;
}
}
var_it = var_it->next;
}
}
}
if (block_it == patch_it->data->ble)
break;
block_it = block_it->next;
}
patch_it = patch_it->next;
}
return true;
};
auto can_pack_sync_from_device =
[&](MyList<var> *var_list, Parallel::SyncCache &cache) -> bool {
if (!cache.valid || !cache.combined_src || myrank < 0 || myrank >= cache.cpusize)
return false;
MyList<Parallel::gridseg> *seg = cache.combined_src[myrank];
while (seg)
{
MyList<var> *var_it = var_list;
while (var_it)
{
if (!bssn_gpu_find_device_buffer(seg->data->Bg->fgfs[var_it->data->sgfn]))
return false;
var_it = var_it->next;
}
seg = seg->next;
}
return true;
};
MyList<Patch> *Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank)
{
double t0 = 0.0;
if (profile_enabled)
t0 = MPI_Wtime();
if (gpu_rhs(CALLED_BY_STEP, myrank, RHS_PARA_CALLED_FIRST_TIME))
ERROR = 1;
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_RHS, MPI_Wtime() - t0);
if (profile_enabled)
t0 = MPI_Wtime();
run_stage_on_block(cg, Pp->data, StateList, StateList, SynchList_pre, RHSList, iter_count);
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_RUN_STAGE, MPI_Wtime() - t0);
if (profile_enabled)
t0 = MPI_Wtime();
if (bssn_cuda_lowerbound(cg->shape, cg->fgfs[phi->sgfn], chitiny, false))
{
cerr << "GPU lowerbound failure: lev=" << lev
<< " rk_stage=" << iter_count
<< " var=" << phi->name
<< " bbox=(" << cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
}
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_LOWERBOUND, MPI_Wtime() - t0);
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
if (!ERROR)
{
if (!keep_stage_sync_on_device)
{
double t0 = 0.0;
if (profile_enabled)
t0 = MPI_Wtime();
stage_download_patch_list(SynchList_pre, false);
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_DOWNLOAD, MPI_Wtime() - t0);
if (!ERROR)
{
if (profile_enabled)
t0 = MPI_Wtime();
bssn_gpu_clear_cached_device_buffers();
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_CLEAR_CACHE, MPI_Wtime() - t0);
}
}
}
MPI_Request err_req_pre;
{
int erh = ERROR;
MPI_Iallreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD, &err_req_pre);
}
Parallel::AsyncSyncState async_pre;
if (profile_enabled)
{
const double t0 = MPI_Wtime();
Parallel::Sync_start(GH->PatL[lev], SynchList_pre, Symmetry, sync_cache_pre[lev], async_pre);
stage_profile_add(lev, STAGE_PROFILE_SYNC_START, MPI_Wtime() - t0);
}
else
Parallel::Sync_start(GH->PatL[lev], SynchList_pre, Symmetry, sync_cache_pre[lev], async_pre);
if (profile_enabled)
{
const double t0 = MPI_Wtime();
Parallel::Sync_finish(sync_cache_pre[lev], async_pre, SynchList_pre, Symmetry,
!keep_stage_sync_on_device);
stage_profile_add(lev, STAGE_PROFILE_SYNC_FINISH, MPI_Wtime() - t0);
}
else
Parallel::Sync_finish(sync_cache_pre[lev], async_pre, SynchList_pre, Symmetry,
!keep_stage_sync_on_device);
if (!ERROR && !keep_stage_sync_on_device)
{
if (profile_enabled)
{
const double t0 = MPI_Wtime();
refresh_stage_device_after_sync(SynchList_pre, sync_cache_pre[lev]);
stage_profile_add(lev, STAGE_PROFILE_REFRESH, MPI_Wtime() - t0);
}
else
refresh_stage_device_after_sync(SynchList_pre, sync_cache_pre[lev]);
}
MPI_Wait(&err_req_pre, MPI_STATUS_IGNORE);
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], StateList, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in state variables at t = " << PhysTime
<< ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
#if (MAPBH == 0)
if (BH_num > 0 && lev == GH->levels - 1)
{
compute_Porg_rhs(Porg0, Porg_rhs, Sfx0, Sfy0, Sfz0, lev);
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][0], Porg[ithBH][0], Porg_rhs[ithBH][0], iter_count);
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][1], Porg[ithBH][1], Porg_rhs[ithBH][1], iter_count);
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][2], Porg[ithBH][2], Porg_rhs[ithBH][2], iter_count);
if (Symmetry > 0)
Porg[ithBH][2] = fabs(Porg[ithBH][2]);
if (Symmetry == 2)
{
Porg[ithBH][0] = fabs(Porg[ithBH][0]);
Porg[ithBH][1] = fabs(Porg[ithBH][1]);
}
}
}
if (lev == a_lev)
AnalysisStuff(lev, dT_lev);
#endif
for (iter_count = 1; iter_count < 4; iter_count++)
{
if (iter_count == 1 || iter_count == 3)
TRK4 += dT_lev / 2;
Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
if (myrank == cg->rank)
{
double t0 = 0.0;
if (profile_enabled)
t0 = MPI_Wtime();
ensure_stage_device_var_list(cg, SynchList_pre);
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_ENSURE, MPI_Wtime() - t0);
if (profile_enabled)
t0 = MPI_Wtime();
if (gpu_rhs(CALLED_BY_STEP, myrank, RHS_PARA_CALLED_THEN))
ERROR = 1;
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_RHS, MPI_Wtime() - t0);
if (profile_enabled)
t0 = MPI_Wtime();
run_stage_on_block(cg, Pp->data, StateList, SynchList_pre, SynchList_cor, RHSList, iter_count);
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_RUN_STAGE, MPI_Wtime() - t0);
if (profile_enabled)
t0 = MPI_Wtime();
if (bssn_cuda_lowerbound(cg->shape, cg->fgfs[phi1->sgfn], chitiny, false))
{
cerr << "GPU lowerbound failure: lev=" << lev
<< " rk_stage=" << iter_count
<< " var=" << phi1->name
<< " bbox=(" << cg->bbox[0] << ":" << cg->bbox[3] << ","
<< cg->bbox[1] << ":" << cg->bbox[4] << ","
<< cg->bbox[2] << ":" << cg->bbox[5] << ")" << endl;
ERROR = 1;
}
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_LOWERBOUND, MPI_Wtime() - t0);
}
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
if (!ERROR)
{
if (!keep_stage_sync_on_device)
{
double t0 = 0.0;
if (profile_enabled)
t0 = MPI_Wtime();
stage_download_patch_list(SynchList_cor, false);
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_DOWNLOAD, MPI_Wtime() - t0);
if (!ERROR)
{
if (profile_enabled)
t0 = MPI_Wtime();
bssn_gpu_clear_cached_device_buffers();
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_CLEAR_CACHE, MPI_Wtime() - t0);
}
}
}
MPI_Request err_req_cor;
{
int erh = ERROR;
MPI_Iallreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD, &err_req_cor);
}
Parallel::AsyncSyncState async_cor;
if (profile_enabled)
{
const double t0 = MPI_Wtime();
Parallel::Sync_start(GH->PatL[lev], SynchList_cor, Symmetry, sync_cache_cor[lev], async_cor);
stage_profile_add(lev, STAGE_PROFILE_SYNC_START, MPI_Wtime() - t0);
}
else
Parallel::Sync_start(GH->PatL[lev], SynchList_cor, Symmetry, sync_cache_cor[lev], async_cor);
if (profile_enabled)
{
const double t0 = MPI_Wtime();
Parallel::Sync_finish(sync_cache_cor[lev], async_cor, SynchList_cor, Symmetry,
!keep_stage_sync_on_device);
stage_profile_add(lev, STAGE_PROFILE_SYNC_FINISH, MPI_Wtime() - t0);
}
else
Parallel::Sync_finish(sync_cache_cor[lev], async_cor, SynchList_cor, Symmetry,
!keep_stage_sync_on_device);
if (!ERROR && !keep_stage_sync_on_device && iter_count < 3)
{
if (profile_enabled)
{
const double t0 = MPI_Wtime();
refresh_stage_device_after_sync(SynchList_cor, sync_cache_cor[lev]);
stage_profile_add(lev, STAGE_PROFILE_REFRESH, MPI_Wtime() - t0);
}
else
refresh_stage_device_after_sync(SynchList_cor, sync_cache_cor[lev]);
}
MPI_Wait(&err_req_cor, MPI_STATUS_IGNORE);
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], SynchList_pre, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in RK4 substep#" << iter_count
<< " variables at t = " << PhysTime
<< ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
#if (MAPBH == 0)
if (BH_num > 0 && lev == GH->levels - 1)
{
compute_Porg_rhs(Porg, Porg1, Sfx, Sfy, Sfz, lev);
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][0], Porg1[ithBH][0], Porg_rhs[ithBH][0], iter_count);
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][1], Porg1[ithBH][1], Porg_rhs[ithBH][1], iter_count);
f_rungekutta4_scalar(dT_lev, Porg0[ithBH][2], Porg1[ithBH][2], Porg_rhs[ithBH][2], iter_count);
if (Symmetry > 0)
Porg1[ithBH][2] = fabs(Porg1[ithBH][2]);
if (Symmetry == 2)
{
Porg1[ithBH][0] = fabs(Porg1[ithBH][0]);
Porg1[ithBH][1] = fabs(Porg1[ithBH][1]);
}
}
}
#endif
if (iter_count < 3)
{
Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
BP->data->swapList(SynchList_pre, SynchList_cor, myrank);
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
#if (MAPBH == 0)
if (BH_num > 0 && lev == GH->levels - 1)
{
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
Porg[ithBH][0] = Porg1[ithBH][0];
Porg[ithBH][1] = Porg1[ithBH][1];
Porg[ithBH][2] = Porg1[ithBH][2];
}
}
#endif
}
}
#if (RPS == 0)
RestrictProlong(lev, YN, BB);
#endif
Pp = GH->PatL[lev];
while (Pp)
{
MyList<Block> *BP = Pp->data->blb;
while (BP)
{
Block *cg = BP->data;
cg->swapList(StateList, SynchList_cor, myrank);
cg->swapList(OldStateList, SynchList_cor, myrank);
if (BP == Pp->data->ble)
break;
BP = BP->next;
}
Pp = Pp->next;
}
if (!ERROR && keep_stage_sync_on_device)
{
// After the swaps above, only StateList points at arrays updated during this step.
// OldStateList/SynchList_cor remain valid on host because their backing arrays were
// read-only during the RK step, and SynchList_pre is reused only as scratch later.
const double t0 = profile_enabled ? MPI_Wtime() : 0.0;
stage_download_patch_list(StateList, true);
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_DOWNLOAD, MPI_Wtime() - t0);
}
if (profile_enabled)
{
const double t0 = MPI_Wtime();
bssn_gpu_clear_cached_device_buffers();
stage_profile_add(lev, STAGE_PROFILE_CLEAR_CACHE, MPI_Wtime() - t0);
}
else
bssn_gpu_clear_cached_device_buffers();
if (BH_num > 0 && lev == GH->levels - 1)
{
for (int ithBH = 0; ithBH < BH_num; ithBH++)
{
Porg0[ithBH][0] = Porg1[ithBH][0];
Porg0[ithBH][1] = Porg1[ithBH][1];
Porg0[ithBH][2] = Porg1[ithBH][2];
}
}
if (profile_enabled)
stage_profile_add(lev, STAGE_PROFILE_TOTAL, MPI_Wtime() - step_total_begin);
}
#endif

File diff suppressed because it is too large Load Diff

View File

@@ -4,10 +4,8 @@
#include "bssn_macro.h" #include "bssn_macro.h"
#include "macrodef.fh" #include "macrodef.fh"
#define DEVICE_ID 0 #define GRID_DIM 256
// #define DEVICE_ID_BY_MPI_RANK #define BLOCK_DIM 128
#define GRID_DIM 256
#define BLOCK_DIM 128
#define _FH2_(i, j, k) fh[(i) + (j) * _1D_SIZE[2] + (k) * _2D_SIZE[2]] #define _FH2_(i, j, k) fh[(i) + (j) * _1D_SIZE[2] + (k) * _2D_SIZE[2]]
#define _FH3_(i, j, k) fh[(i) + (j) * _1D_SIZE[3] + (k) * _2D_SIZE[3]] #define _FH3_(i, j, k) fh[(i) + (j) * _1D_SIZE[3] + (k) * _2D_SIZE[3]]
@@ -65,9 +63,45 @@ int gpu_rhs(int calledby, int mpi_rank, int *ex, double &T,
double *Gmx_Res, double *Gmy_Res, double *Gmz_Res, double *Gmx_Res, double *Gmy_Res, double *Gmz_Res,
int &Symmetry, int &Lev, double &eps, int &co); int &Symmetry, int &Lev, double &eps, int &co);
int gpu_rhs_ss(RHS_SS_PARA); int gpu_rhs_ss(RHS_SS_PARA);
/** Init GPU side data in GPUMeta. */ int bssn_gpu_bind_process_device(int mpi_rank);
// void init_fluid_meta_gpu(GPUMeta *gpu_meta); void bssn_gpu_clear_cached_device_buffers();
void bssn_gpu_release_pinned_host_buffers();
const double *bssn_gpu_find_device_buffer(const double *host_ptr);
void bssn_gpu_register_device_buffer(const double *host_ptr, const double *device_ptr);
void bssn_gpu_prepare_host_buffer(const double *host_ptr, int count);
int bssn_gpu_stage_upload_buffer(const double *host_ptr, int count);
int bssn_gpu_stage_zero_buffer(const double *host_ptr, int count);
int bssn_gpu_stage_upload_region(const double *host_ptr,
const int *full_shape,
const double *full_llb,
const double *full_uub,
const int *region_shape,
const double *region_llb);
int bssn_gpu_stage_download_region(double *host_ptr,
const int *full_shape,
const double *full_llb,
const double *full_uub,
const int *region_shape,
const double *region_llb);
int bssn_gpu_stage_download_region_to_buffer(const double *host_src_ptr,
const int *full_shape,
const double *full_llb,
const double *full_uub,
const int *region_shape,
const double *region_llb,
double *host_dst_ptr);
int bssn_gpu_stage_upload_buffer_to_region(const double *host_src_ptr,
double *host_dst_ptr,
const int *full_shape,
const double *full_llb,
const double *full_uub,
const int *region_shape,
const double *region_llb);
int bssn_gpu_download_buffer_batch(const int *ex, double **host_ptrs, int num_buffers);
/** Init GPU side data in GPUMeta. */
// void init_fluid_meta_gpu(GPUMeta *gpu_meta);
#endif #endif

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@@ -65,9 +65,10 @@ if(TIME_COUNT_EACH_RANK == 1){\
}\ }\
} }
//3---------------------GPU--------------------- //3---------------------GPU---------------------
#define CALLED_BY_STEP 0 #define CALLED_BY_STEP 0
#define CALLED_BY_CONSTRAINT 1 #define CALLED_BY_CONSTRAINT 1
#define CALLED_BY_CONSTRAINT_CONS_ONLY 2
#define RHS_PARA_CALLED_FIRST_TIME cg->shape,TRK4,cg->X[0],cg->X[1],cg->X[2],cg->fgfs[phi0->sgfn],cg->fgfs[trK0->sgfn],cg->fgfs[gxx0->sgfn],cg->fgfs[gxy0->sgfn],cg->fgfs[gxz0->sgfn],cg->fgfs[gyy0->sgfn],cg->fgfs[gyz0->sgfn],cg->fgfs[gzz0->sgfn],cg->fgfs[Axx0->sgfn],cg->fgfs[Axy0->sgfn],cg->fgfs[Axz0->sgfn],cg->fgfs[Ayy0->sgfn],cg->fgfs[Ayz0->sgfn],cg->fgfs[Azz0->sgfn],cg->fgfs[Gmx0->sgfn],cg->fgfs[Gmy0->sgfn],cg->fgfs[Gmz0->sgfn],cg->fgfs[Lap0->sgfn],cg->fgfs[Sfx0->sgfn],cg->fgfs[Sfy0->sgfn],cg->fgfs[Sfz0->sgfn],cg->fgfs[dtSfx0->sgfn],cg->fgfs[dtSfy0->sgfn],cg->fgfs[dtSfz0->sgfn],cg->fgfs[phi_rhs->sgfn],cg->fgfs[trK_rhs->sgfn],cg->fgfs[gxx_rhs->sgfn],cg->fgfs[gxy_rhs->sgfn],cg->fgfs[gxz_rhs->sgfn],cg->fgfs[gyy_rhs->sgfn],cg->fgfs[gyz_rhs->sgfn],cg->fgfs[gzz_rhs->sgfn],cg->fgfs[Axx_rhs->sgfn],cg->fgfs[Axy_rhs->sgfn],cg->fgfs[Axz_rhs->sgfn],cg->fgfs[Ayy_rhs->sgfn],cg->fgfs[Ayz_rhs->sgfn],cg->fgfs[Azz_rhs->sgfn],cg->fgfs[Gmx_rhs->sgfn],cg->fgfs[Gmy_rhs->sgfn],cg->fgfs[Gmz_rhs->sgfn],cg->fgfs[Lap_rhs->sgfn],cg->fgfs[Sfx_rhs->sgfn],cg->fgfs[Sfy_rhs->sgfn],cg->fgfs[Sfz_rhs->sgfn],cg->fgfs[dtSfx_rhs->sgfn],cg->fgfs[dtSfy_rhs->sgfn],cg->fgfs[dtSfz_rhs->sgfn],cg->fgfs[rho->sgfn],cg->fgfs[Sx->sgfn],cg->fgfs[Sy->sgfn],cg->fgfs[Sz->sgfn],cg->fgfs[Sxx->sgfn],cg->fgfs[Sxy->sgfn],cg->fgfs[Sxz->sgfn],cg->fgfs[Syy->sgfn],cg->fgfs[Syz->sgfn],cg->fgfs[Szz->sgfn],cg->fgfs[Gamxxx->sgfn],cg->fgfs[Gamxxy->sgfn],cg->fgfs[Gamxxz->sgfn],cg->fgfs[Gamxyy->sgfn],cg->fgfs[Gamxyz->sgfn],cg->fgfs[Gamxzz->sgfn],cg->fgfs[Gamyxx->sgfn],cg->fgfs[Gamyxy->sgfn],cg->fgfs[Gamyxz->sgfn],cg->fgfs[Gamyyy->sgfn],cg->fgfs[Gamyyz->sgfn],cg->fgfs[Gamyzz->sgfn],cg->fgfs[Gamzxx->sgfn],cg->fgfs[Gamzxy->sgfn],cg->fgfs[Gamzxz->sgfn],cg->fgfs[Gamzyy->sgfn],cg->fgfs[Gamzyz->sgfn],cg->fgfs[Gamzzz->sgfn],cg->fgfs[Rxx->sgfn],cg->fgfs[Rxy->sgfn],cg->fgfs[Rxz->sgfn],cg->fgfs[Ryy->sgfn],cg->fgfs[Ryz->sgfn],cg->fgfs[Rzz->sgfn],cg->fgfs[Cons_Ham->sgfn],cg->fgfs[Cons_Px->sgfn],cg->fgfs[Cons_Py->sgfn],cg->fgfs[Cons_Pz->sgfn],cg->fgfs[Cons_Gx->sgfn],cg->fgfs[Cons_Gy->sgfn],cg->fgfs[Cons_Gz->sgfn],Symmetry,lev,ndeps,pre #define RHS_PARA_CALLED_FIRST_TIME cg->shape,TRK4,cg->X[0],cg->X[1],cg->X[2],cg->fgfs[phi0->sgfn],cg->fgfs[trK0->sgfn],cg->fgfs[gxx0->sgfn],cg->fgfs[gxy0->sgfn],cg->fgfs[gxz0->sgfn],cg->fgfs[gyy0->sgfn],cg->fgfs[gyz0->sgfn],cg->fgfs[gzz0->sgfn],cg->fgfs[Axx0->sgfn],cg->fgfs[Axy0->sgfn],cg->fgfs[Axz0->sgfn],cg->fgfs[Ayy0->sgfn],cg->fgfs[Ayz0->sgfn],cg->fgfs[Azz0->sgfn],cg->fgfs[Gmx0->sgfn],cg->fgfs[Gmy0->sgfn],cg->fgfs[Gmz0->sgfn],cg->fgfs[Lap0->sgfn],cg->fgfs[Sfx0->sgfn],cg->fgfs[Sfy0->sgfn],cg->fgfs[Sfz0->sgfn],cg->fgfs[dtSfx0->sgfn],cg->fgfs[dtSfy0->sgfn],cg->fgfs[dtSfz0->sgfn],cg->fgfs[phi_rhs->sgfn],cg->fgfs[trK_rhs->sgfn],cg->fgfs[gxx_rhs->sgfn],cg->fgfs[gxy_rhs->sgfn],cg->fgfs[gxz_rhs->sgfn],cg->fgfs[gyy_rhs->sgfn],cg->fgfs[gyz_rhs->sgfn],cg->fgfs[gzz_rhs->sgfn],cg->fgfs[Axx_rhs->sgfn],cg->fgfs[Axy_rhs->sgfn],cg->fgfs[Axz_rhs->sgfn],cg->fgfs[Ayy_rhs->sgfn],cg->fgfs[Ayz_rhs->sgfn],cg->fgfs[Azz_rhs->sgfn],cg->fgfs[Gmx_rhs->sgfn],cg->fgfs[Gmy_rhs->sgfn],cg->fgfs[Gmz_rhs->sgfn],cg->fgfs[Lap_rhs->sgfn],cg->fgfs[Sfx_rhs->sgfn],cg->fgfs[Sfy_rhs->sgfn],cg->fgfs[Sfz_rhs->sgfn],cg->fgfs[dtSfx_rhs->sgfn],cg->fgfs[dtSfy_rhs->sgfn],cg->fgfs[dtSfz_rhs->sgfn],cg->fgfs[rho->sgfn],cg->fgfs[Sx->sgfn],cg->fgfs[Sy->sgfn],cg->fgfs[Sz->sgfn],cg->fgfs[Sxx->sgfn],cg->fgfs[Sxy->sgfn],cg->fgfs[Sxz->sgfn],cg->fgfs[Syy->sgfn],cg->fgfs[Syz->sgfn],cg->fgfs[Szz->sgfn],cg->fgfs[Gamxxx->sgfn],cg->fgfs[Gamxxy->sgfn],cg->fgfs[Gamxxz->sgfn],cg->fgfs[Gamxyy->sgfn],cg->fgfs[Gamxyz->sgfn],cg->fgfs[Gamxzz->sgfn],cg->fgfs[Gamyxx->sgfn],cg->fgfs[Gamyxy->sgfn],cg->fgfs[Gamyxz->sgfn],cg->fgfs[Gamyyy->sgfn],cg->fgfs[Gamyyz->sgfn],cg->fgfs[Gamyzz->sgfn],cg->fgfs[Gamzxx->sgfn],cg->fgfs[Gamzxy->sgfn],cg->fgfs[Gamzxz->sgfn],cg->fgfs[Gamzyy->sgfn],cg->fgfs[Gamzyz->sgfn],cg->fgfs[Gamzzz->sgfn],cg->fgfs[Rxx->sgfn],cg->fgfs[Rxy->sgfn],cg->fgfs[Rxz->sgfn],cg->fgfs[Ryy->sgfn],cg->fgfs[Ryz->sgfn],cg->fgfs[Rzz->sgfn],cg->fgfs[Cons_Ham->sgfn],cg->fgfs[Cons_Px->sgfn],cg->fgfs[Cons_Py->sgfn],cg->fgfs[Cons_Pz->sgfn],cg->fgfs[Cons_Gx->sgfn],cg->fgfs[Cons_Gy->sgfn],cg->fgfs[Cons_Gz->sgfn],Symmetry,lev,ndeps,pre

View File

@@ -1022,9 +1022,16 @@ int f_compute_rhs_bssn(int *ex, double &T,
+ gupyz[i] * dtSfy_rhs[i] * dtSfz_rhs[i] ); + gupyz[i] * dtSfy_rhs[i] * dtSfz_rhs[i] );
#if (GAUGE == 2) #if (GAUGE == 2)
reta[i] = 1.31 / 2.0 * sqrt( reta[i] / chin1[i] ) / pow( (ONE - sqrt(chin1[i])), 2.0 ); {
const double chi_sqrt = sqrt(chin1[i]);
const double damping = ONE - chi_sqrt;
reta[i] = 1.31 / 2.0 * sqrt( reta[i] / chin1[i] ) / (damping * damping);
}
#else #else
reta[i] = 1.31 / 2.0 * sqrt( reta[i] / chin1[i] ) / pow( (ONE - chin1[i]), 2.0 ); {
const double damping = ONE - chin1[i];
reta[i] = 1.31 / 2.0 * sqrt( reta[i] / chin1[i] ) / (damping * damping);
}
#endif #endif
dtSfx_rhs[i] = Gamx_rhs[i] - reta[i] * dtSfx[i]; dtSfx_rhs[i] = Gamx_rhs[i] - reta[i] * dtSfx[i];
@@ -1040,9 +1047,16 @@ int f_compute_rhs_bssn(int *ex, double &T,
+ gupyz[i] * dtSfy_rhs[i] * dtSfz_rhs[i] ); + gupyz[i] * dtSfy_rhs[i] * dtSfz_rhs[i] );
#if (GAUGE == 4) #if (GAUGE == 4)
reta[i] = 1.31 / 2.0 * sqrt( reta[i] / chin1[i] ) / pow( (ONE - sqrt(chin1[i])), 2.0 ); {
const double chi_sqrt = sqrt(chin1[i]);
const double damping = ONE - chi_sqrt;
reta[i] = 1.31 / 2.0 * sqrt( reta[i] / chin1[i] ) / (damping * damping);
}
#else #else
reta[i] = 1.31 / 2.0 * sqrt( reta[i] / chin1[i] ) / pow( (ONE - chin1[i]), 2.0 ); {
const double damping = ONE - chin1[i];
reta[i] = 1.31 / 2.0 * sqrt( reta[i] / chin1[i] ) / (damping * damping);
}
#endif #endif
betax_rhs[i] = FF * Gamx[i] - reta[i] * betax[i]; betax_rhs[i] = FF * Gamx[i] - reta[i] * betax[i];

View File

@@ -23,10 +23,14 @@ using namespace std;
#include <mpi.h> #include <mpi.h>
#include "macrodef.h" #include "macrodef.h"
#include "misc.h" #include "misc.h"
#include "cgh.h" #include "cgh.h"
#include "Parallel.h" #include "Parallel.h"
#include "parameters.h" #include "parameters.h"
#ifdef USE_GPU
#include "bssn_gpu.h"
#include "bssn_cuda_ops.h"
#endif
//================================================================================================ //================================================================================================
@@ -881,13 +885,20 @@ void cgh::recompose_cgh(int nprocs, bool *lev_flag,
tmPat = construct_patchlist(lev, Symmetry); tmPat = construct_patchlist(lev, Symmetry);
// tmPat construction completes // tmPat construction completes
Parallel::distribute(tmPat, nprocs, ingfs, fngfs, false); Parallel::distribute(tmPat, nprocs, ingfs, fngfs, false);
// checkPatchList(tmPat,true); // checkPatchList(tmPat,true);
bool CC = (lev > trfls); bool CC = (lev > trfls);
Parallel::fill_level_data(tmPat, PatL[lev], PatL[lev - 1], OldList, StateList, FutureList, tmList, Symmetry, BB, CC); Parallel::fill_level_data(tmPat, PatL[lev], PatL[lev - 1], OldList, StateList, FutureList, tmList, Symmetry, BB, CC);
Parallel::KillBlocks(PatL[lev]); #ifdef USE_GPU
PatL[lev]->destroyList(); bssn_gpu_clear_cached_device_buffers();
PatL[lev] = tmPat; bssn_gpu_release_pinned_host_buffers();
bssn_cuda_release_rk4_caches();
bssn_cuda_release_interp_caches();
patch_release_interp_plan_cache();
#endif
Parallel::KillBlocks(PatL[lev]);
PatL[lev]->destroyList();
PatL[lev] = tmPat;
#if (RPB == 1) #if (RPB == 1)
Parallel::destroypsuList_bam(bdsul[lev]); Parallel::destroypsuList_bam(bdsul[lev]);
Parallel::destroypsuList_bam(rsul[lev]); Parallel::destroypsuList_bam(rsul[lev]);
@@ -910,13 +921,20 @@ void cgh::recompose_cgh(int nprocs, bool *lev_flag,
tmPat = construct_patchlist(lev, Symmetry); tmPat = construct_patchlist(lev, Symmetry);
// tmPat construction completes // tmPat construction completes
Parallel::distribute(tmPat, end_rank[lev] - start_rank[lev] + 1, ingfs, fngfs, false, start_rank[lev], end_rank[lev]); Parallel::distribute(tmPat, end_rank[lev] - start_rank[lev] + 1, ingfs, fngfs, false, start_rank[lev], end_rank[lev]);
// checkPatchList(tmPat,true); // checkPatchList(tmPat,true);
bool CC = (lev > trfls); bool CC = (lev > trfls);
Parallel::fill_level_data(tmPat, PatL[lev], PatL[lev - 1], OldList, StateList, FutureList, tmList, Symmetry, BB, CC); Parallel::fill_level_data(tmPat, PatL[lev], PatL[lev - 1], OldList, StateList, FutureList, tmList, Symmetry, BB, CC);
Parallel::KillBlocks(PatL[lev]); #ifdef USE_GPU
PatL[lev]->destroyList(); bssn_gpu_clear_cached_device_buffers();
PatL[lev] = tmPat; bssn_gpu_release_pinned_host_buffers();
bssn_cuda_release_rk4_caches();
bssn_cuda_release_interp_caches();
patch_release_interp_plan_cache();
#endif
Parallel::KillBlocks(PatL[lev]);
PatL[lev]->destroyList();
PatL[lev] = tmPat;
#if (RPB == 1) #if (RPB == 1)
#error "not support yet" #error "not support yet"
#endif #endif
@@ -1518,13 +1536,20 @@ void cgh::recompose_cgh_Onelevel(int nprocs, int lev,
tmPat = construct_patchlist(lev, Symmetry); tmPat = construct_patchlist(lev, Symmetry);
// tmPat construction completes // tmPat construction completes
Parallel::distribute(tmPat, nprocs, ingfs, fngfs, false); Parallel::distribute(tmPat, nprocs, ingfs, fngfs, false);
// checkPatchList(tmPat,true); // checkPatchList(tmPat,true);
bool CC = (lev > trfls); bool CC = (lev > trfls);
Parallel::fill_level_data(tmPat, PatL[lev], PatL[lev - 1], OldList, StateList, FutureList, tmList, Symmetry, BB, CC); Parallel::fill_level_data(tmPat, PatL[lev], PatL[lev - 1], OldList, StateList, FutureList, tmList, Symmetry, BB, CC);
Parallel::KillBlocks(PatL[lev]); #ifdef USE_GPU
PatL[lev]->destroyList(); bssn_gpu_clear_cached_device_buffers();
PatL[lev] = tmPat; bssn_gpu_release_pinned_host_buffers();
bssn_cuda_release_rk4_caches();
bssn_cuda_release_interp_caches();
patch_release_interp_plan_cache();
#endif
Parallel::KillBlocks(PatL[lev]);
PatL[lev]->destroyList();
PatL[lev] = tmPat;
} }
#elif (PSTR == 1 || PSTR == 2 || PSTR == 3) #elif (PSTR == 1 || PSTR == 2 || PSTR == 3)
#warning "recompose_cgh_Onelevel is not implimented yet" #warning "recompose_cgh_Onelevel is not implimented yet"
@@ -1540,14 +1565,21 @@ void cgh::recompose_cgh_Onelevel(int nprocs, int lev,
// tmPat construction completes // tmPat construction completes
Parallel::distribute(tmPat, end_rank[lev] - start_rank[lev] + 1, ingfs, fngfs, false, start_rank[lev], end_rank[lev]); Parallel::distribute(tmPat, end_rank[lev] - start_rank[lev] + 1, ingfs, fngfs, false, start_rank[lev], end_rank[lev]);
misc::tillherecheck(Commlev[lev], start_rank[lev], "after distribute"); misc::tillherecheck(Commlev[lev], start_rank[lev], "after distribute");
// checkPatchList(tmPat,true); // checkPatchList(tmPat,true);
bool CC = (lev > trfls); bool CC = (lev > trfls);
Parallel::fill_level_data(tmPat, PatL[lev], PatL[lev - 1], OldList, StateList, FutureList, tmList, Symmetry, BB, CC); Parallel::fill_level_data(tmPat, PatL[lev], PatL[lev - 1], OldList, StateList, FutureList, tmList, Symmetry, BB, CC);
misc::tillherecheck(Commlev[lev], start_rank[lev], "after fill_level_data"); misc::tillherecheck(Commlev[lev], start_rank[lev], "after fill_level_data");
Parallel::KillBlocks(PatL[lev]); #ifdef USE_GPU
PatL[lev]->destroyList(); bssn_gpu_clear_cached_device_buffers();
PatL[lev] = tmPat; bssn_gpu_release_pinned_host_buffers();
bssn_cuda_release_rk4_caches();
bssn_cuda_release_interp_caches();
patch_release_interp_plan_cache();
#endif
Parallel::KillBlocks(PatL[lev]);
PatL[lev]->destroyList();
PatL[lev] = tmPat;
} }

View File

@@ -30,8 +30,8 @@ CXXAPPFLAGS = -O3 -xHost -fp-model fast=2 -fma -ipo \
f90appflags = -O3 -xHost -fp-model fast=2 -fma -ipo \ f90appflags = -O3 -xHost -fp-model fast=2 -fma -ipo \
-align array64byte -fpp -I${MKLROOT}/include $(POLINT6_FLAG) -align array64byte -fpp -I${MKLROOT}/include $(POLINT6_FLAG)
endif endif
.SUFFIXES: .o .f90 .C .for .cu .SUFFIXES: .o .f90 .C .for .cu
.f90.o: .f90.o:
$(f90) $(f90appflags) -c $< -o $@ $(f90) $(f90appflags) -c $< -o $@
@@ -105,13 +105,12 @@ C++FILES = ABE.o Ansorg.o Block.o misc.o monitor.o Parallel.o MPatch.o var.o\
Parallel_bam.o scalar_class.o transpbh.o NullShellPatch2.o\ Parallel_bam.o scalar_class.o transpbh.o NullShellPatch2.o\
NullShellPatch2_Evo.o writefile_f.o interp_lb_profile.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\ 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\ cgh.o bssn_class.o surface_integral.o ShellPatch.o\
bssnEScalar_class.o perf.o Z4c_class.o NullShellPatch.o\ bssnEScalar_class.o perf.o Z4c_class.o NullShellPatch.o\
bssnEM_class.o cpbc_util.o z4c_rhs_point.o checkpoint.o\ bssnEM_class.o cpbc_util.o z4c_rhs_point.o checkpoint.o\
Parallel_bam.o scalar_class.o transpbh.o NullShellPatch2.o\ Parallel_bam.o scalar_class.o transpbh.o NullShellPatch2.o\
NullShellPatch2_Evo.o \ NullShellPatch2_Evo.o bssn_cuda_step.o writefile_f.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\ F90FILES_BASE = enforce_algebra.o fmisc.o initial_puncture.o prolongrestrict.o\
prolongrestrict_cell.o prolongrestrict_vertex.o\ prolongrestrict_cell.o prolongrestrict_vertex.o\
@@ -143,7 +142,7 @@ initial_guess.o Newton.o Jacobian.o ilucg.o IntPnts0.o IntPnts.o
TwoPunctureFILES = TwoPunctureABE.o TwoPunctures.o TwoPunctureFILES = TwoPunctureABE.o TwoPunctures.o
CUDAFILES = bssn_gpu.o bssn_gpu_rhs_ss.o CUDAFILES = bssn_gpu.o bssn_cuda_ops.o
# file dependences # file dependences
$(C++FILES) $(C++FILES_GPU) $(F90FILES) $(CFILES) $(AHFDOBJS) $(CUDAFILES): macrodef.fh $(C++FILES) $(C++FILES_GPU) $(F90FILES) $(CFILES) $(AHFDOBJS) $(CUDAFILES): macrodef.fh

View File

@@ -9,6 +9,7 @@ filein = -I/usr/include/ -I${MKLROOT}/include
## Using sequential MKL (OpenMP disabled for better single-threaded performance) ## Using sequential MKL (OpenMP disabled for better single-threaded performance)
## Added -lifcore for Intel Fortran runtime and -limf for Intel math library ## Added -lifcore for Intel Fortran runtime and -limf for Intel math library
LDLIBS = -L${MKLROOT}/lib -lmkl_intel_lp64 -lmkl_sequential -lmkl_core -lifcore -limf -lpthread -lm -ldl -liomp5 LDLIBS = -L${MKLROOT}/lib -lmkl_intel_lp64 -lmkl_sequential -lmkl_core -lifcore -limf -lpthread -lm -ldl -liomp5
CUDA_LDLIBS = -L/usr/local/cuda-12.9/targets/x86_64-linux/lib -lcudart
## Memory allocator switch ## Memory allocator switch
## 1 (default) : link Intel oneTBB allocator (libtbbmalloc) ## 1 (default) : link Intel oneTBB allocator (libtbbmalloc)
@@ -24,6 +25,8 @@ ifeq ($(USE_TBBMALLOC),1)
LDLIBS := $(TBBMALLOC_LIBS) $(LDLIBS) LDLIBS := $(TBBMALLOC_LIBS) $(LDLIBS)
endif endif
LDLIBS := $(CUDA_LDLIBS) $(LDLIBS)
## PGO build mode switch (ABE only; TwoPunctureABE always uses opt flags) ## PGO build mode switch (ABE only; TwoPunctureABE always uses opt flags)
## opt : (default) maximum performance with PGO profile-guided optimization ## opt : (default) maximum performance with PGO profile-guided optimization
## instrument : PGO Phase 1 instrumentation to collect fresh profile data ## instrument : PGO Phase 1 instrumentation to collect fresh profile data

View File

@@ -180,19 +180,64 @@ surface_integral::surface_integral(int iSymmetry) : Symmetry(iSymmetry)
//|============================================================================ //|============================================================================
//| Destructor //| Destructor
//|============================================================================ //|============================================================================
surface_integral::~surface_integral() surface_integral::~surface_integral()
{ {
delete[] nx_g; release_cached_buffers();
delete[] ny_g; delete[] nx_g;
delete[] nz_g; delete[] ny_g;
delete[] arcostheta; delete[] nz_g;
#ifdef GaussInt delete[] arcostheta;
delete[] wtcostheta; #ifdef GaussInt
#endif delete[] wtcostheta;
} #endif
//|---------------------------------------------------------------- }
// spin weighted spinw component of psi4, general routine
// l takes from spinw to maxl; m takes from -l to l void surface_integral::get_surface_points(double rex, double **pox)
{
SpherePointCache &cache = sphere_point_cache[rex];
if (!cache.pox[0])
{
for (int i = 0; i < 3; ++i)
cache.pox[i] = new double[n_tot];
for (int n = 0; n < n_tot; ++n)
{
cache.pox[0][n] = rex * nx_g[n];
cache.pox[1][n] = rex * ny_g[n];
cache.pox[2][n] = rex * nz_g[n];
}
}
pox[0] = cache.pox[0];
pox[1] = cache.pox[1];
pox[2] = cache.pox[2];
}
double *surface_integral::get_shellf_buffer(int num_var)
{
double *&buffer = shellf_cache[num_var];
if (!buffer)
buffer = new double[n_tot * num_var];
return buffer;
}
void surface_integral::release_cached_buffers()
{
for (map<double, SpherePointCache>::iterator it = sphere_point_cache.begin(); it != sphere_point_cache.end(); ++it)
{
delete[] it->second.pox[0];
delete[] it->second.pox[1];
delete[] it->second.pox[2];
it->second.pox[0] = it->second.pox[1] = it->second.pox[2] = 0;
}
sphere_point_cache.clear();
for (map<int, double *>::iterator it = shellf_cache.begin(); it != shellf_cache.end(); ++it)
delete[] it->second;
shellf_cache.clear();
}
//|----------------------------------------------------------------
// spin weighted spinw component of psi4, general routine
// l takes from spinw to maxl; m takes from -l to l
//|---------------------------------------------------------------- //|----------------------------------------------------------------
void surface_integral::surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *Ipsi4, void surface_integral::surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *Ipsi4,
int spinw, int maxl, int NN, double *RP, double *IP, int spinw, int maxl, int NN, double *RP, double *IP,
@@ -209,16 +254,9 @@ void surface_integral::surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *
MyList<var> *DG_List = new MyList<var>(Rpsi4); MyList<var> *DG_List = new MyList<var>(Rpsi4);
DG_List->insert(Ipsi4); DG_List->insert(Ipsi4);
int n; int n;
double *pox[3]; double *pox[3];
for (int i = 0; i < 3; i++) get_surface_points(rex, pox);
pox[i] = new double[n_tot];
for (n = 0; n < n_tot; n++)
{
pox[0][n] = rex * nx_g[n];
pox[1][n] = rex * ny_g[n];
pox[2][n] = rex * nz_g[n];
}
int mp, Lp, Nmin, Nmax; int mp, Lp, Nmin, Nmax;
mp = n_tot / cpusize; mp = n_tot / cpusize;
@@ -234,8 +272,7 @@ void surface_integral::surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *
Nmax = Nmin + mp - 1; Nmax = Nmin + mp - 1;
} }
double *shellf; double *shellf = get_shellf_buffer(InList);
shellf = new double[n_tot * InList];
GH->PatL[lev]->data->Interp_Points(DG_List, n_tot, pox, shellf, Symmetry, Nmin, Nmax); GH->PatL[lev]->data->Interp_Points(DG_List, n_tot, pox, shellf, Symmetry, Nmin, Nmax);
@@ -375,14 +412,10 @@ void surface_integral::surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *
//|------= Free memory. //|------= Free memory.
delete[] pox[0]; delete[] RP_out;
delete[] pox[1]; delete[] IP_out;
delete[] pox[2]; DG_List->clearList();
delete[] shellf; }
delete[] RP_out;
delete[] IP_out;
DG_List->clearList();
}
void surface_integral::surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *Ipsi4, void surface_integral::surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *Ipsi4,
int spinw, int maxl, int NN, double *RP, double *IP, int spinw, int maxl, int NN, double *RP, double *IP,
monitor *Monitor, MPI_Comm Comm_here) // NN is the length of RP and IP monitor *Monitor, MPI_Comm Comm_here) // NN is the length of RP and IP
@@ -402,19 +435,11 @@ void surface_integral::surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *
MyList<var> *DG_List = new MyList<var>(Rpsi4); MyList<var> *DG_List = new MyList<var>(Rpsi4);
DG_List->insert(Ipsi4); DG_List->insert(Ipsi4);
int n; int n;
double *pox[3]; double *pox[3];
for (int i = 0; i < 3; i++) get_surface_points(rex, pox);
pox[i] = new double[n_tot];
for (n = 0; n < n_tot; n++) double *shellf = get_shellf_buffer(InList);
{
pox[0][n] = rex * nx_g[n];
pox[1][n] = rex * ny_g[n];
pox[2][n] = rex * nz_g[n];
}
double *shellf;
shellf = new double[n_tot * InList];
// misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"before Interp_Points"); // misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"before Interp_Points");
@@ -577,14 +602,10 @@ void surface_integral::surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *
//|------= Free memory. //|------= Free memory.
delete[] pox[0]; delete[] RP_out;
delete[] pox[1]; delete[] IP_out;
delete[] pox[2]; DG_List->clearList();
delete[] shellf; }
delete[] RP_out;
delete[] IP_out;
DG_List->clearList();
}
//|---------------------------------------------------------------- //|----------------------------------------------------------------
// for shell patch // for shell patch
//|---------------------------------------------------------------- //|----------------------------------------------------------------
@@ -597,19 +618,11 @@ void surface_integral::surf_Wave(double rex, int lev, ShellPatch *GH, var *Rpsi4
MyList<var> *DG_List = new MyList<var>(Rpsi4); MyList<var> *DG_List = new MyList<var>(Rpsi4);
DG_List->insert(Ipsi4); DG_List->insert(Ipsi4);
int n; int n;
double *pox[3]; double *pox[3];
for (int i = 0; i < 3; i++) get_surface_points(rex, pox);
pox[i] = new double[n_tot];
for (n = 0; n < n_tot; n++)
{
pox[0][n] = rex * nx_g[n];
pox[1][n] = rex * ny_g[n];
pox[2][n] = rex * nz_g[n];
}
double *shellf; double *shellf = get_shellf_buffer(InList);
shellf = new double[n_tot * InList];
GH->Interp_Points(DG_List, n_tot, pox, shellf, Symmetry); GH->Interp_Points(DG_List, n_tot, pox, shellf, Symmetry);
@@ -2570,12 +2583,8 @@ void surface_integral::surf_MassPAng(double rex, int lev, cgh *GH, var *chi, var
Rout[5] = sy; Rout[5] = sy;
Rout[6] = sz; Rout[6] = sz;
delete[] pox[0]; DG_List->clearList();
delete[] pox[1]; }
delete[] pox[2];
delete[] shellf;
DG_List->clearList();
}
void surface_integral::surf_MassPAng(double rex, int lev, cgh *GH, var *chi, var *trK, void surface_integral::surf_MassPAng(double rex, int lev, cgh *GH, var *chi, var *trK,
var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz, var *gxx, var *gxy, var *gxz, var *gyy, var *gyz, var *gzz,
var *Axx, var *Axy, var *Axz, var *Ayy, var *Ayz, var *Azz, var *Axx, var *Axy, var *Axz, var *Ayy, var *Ayz, var *Azz,
@@ -2637,19 +2646,11 @@ void surface_integral::surf_MassPAng(double rex, int lev, cgh *GH, var *chi, var
DG_List->insert(Ayz); DG_List->insert(Ayz);
DG_List->insert(Azz); DG_List->insert(Azz);
int n; int n;
double *pox[3]; double *pox[3];
for (int i = 0; i < 3; i++) get_surface_points(rex, pox);
pox[i] = new double[n_tot];
for (n = 0; n < n_tot; n++) double *shellf = get_shellf_buffer(InList);
{
pox[0][n] = rex * nx_g[n];
pox[1][n] = rex * ny_g[n];
pox[2][n] = rex * nz_g[n];
}
double *shellf;
shellf = new double[n_tot * InList];
// we have assumed there is only one box on this level, // we have assumed there is only one box on this level,
// so we do not need loop boxes // so we do not need loop boxes
@@ -2839,12 +2840,8 @@ void surface_integral::surf_MassPAng(double rex, int lev, cgh *GH, var *chi, var
Rout[5] = sy; Rout[5] = sy;
Rout[6] = sz; Rout[6] = sz;
delete[] pox[0]; DG_List->clearList();
delete[] pox[1]; }
delete[] pox[2];
delete[] shellf;
DG_List->clearList();
}
//|---------------------------------------------------------------- //|----------------------------------------------------------------
// for shell patch // for shell patch
//|---------------------------------------------------------------- //|----------------------------------------------------------------

View File

@@ -20,25 +20,41 @@ using namespace std;
#include "cgh.h" #include "cgh.h"
#include "ShellPatch.h" #include "ShellPatch.h"
#include "NullShellPatch.h" #include "NullShellPatch.h"
#include "NullShellPatch2.h" #include "NullShellPatch2.h"
#include "var.h" #include "var.h"
#include "monitor.h" #include "monitor.h"
#include <map>
class surface_integral class surface_integral
{ {
private: private:
int Symmetry, factor; struct SpherePointCache
int N_theta, N_phi; // Number of points in Theta & Phi directions {
double dphi, dcostheta; double *pox[3];
double *arcostheta, *wtcostheta; SpherePointCache()
int n_tot; // size of arrays {
pox[0] = pox[1] = pox[2] = 0;
double *nx_g, *ny_g, *nz_g; // global list of unit normals }
int myrank, cpusize; };
public: int Symmetry, factor;
surface_integral(int iSymmetry); int N_theta, N_phi; // Number of points in Theta & Phi directions
double dphi, dcostheta;
double *arcostheta, *wtcostheta;
int n_tot; // size of arrays
double *nx_g, *ny_g, *nz_g; // global list of unit normals
int myrank, cpusize;
map<double, SpherePointCache> sphere_point_cache;
map<int, double *> shellf_cache;
void get_surface_points(double rex, double **pox);
double *get_shellf_buffer(int num_var);
void release_cached_buffers();
public:
surface_integral(int iSymmetry);
~surface_integral(); ~surface_integral();
void surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *Ipsi4, void surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *Ipsi4,

View File

@@ -9,6 +9,7 @@
import AMSS_NCKU_Input as input_data import AMSS_NCKU_Input as input_data
import os
import subprocess import subprocess
import time import time
@@ -57,6 +58,48 @@ BUILD_JOBS = 64
################################################################## ##################################################################
##################################################################
def prepare_gpu_runtime_env():
"""
Create a user-private CUDA MPS environment for GPU runs.
On shared machines another user's daemon may already occupy the default
/tmp/nvidia-mps pipe directory, which makes plain cudaSetDevice/cudaMalloc
fail with cudaErrorMpsConnectionFailed. Binding AMSS-NCKU to a private
pipe directory avoids cross-user interference.
"""
env = os.environ.copy()
pipe_dir = env.get("CUDA_MPS_PIPE_DIRECTORY", f"/tmp/amss-ncku-mps-{os.getuid()}")
log_dir = env.get("CUDA_MPS_LOG_DIRECTORY", f"/tmp/amss-ncku-mps-log-{os.getuid()}")
os.makedirs(pipe_dir, exist_ok=True)
os.makedirs(log_dir, exist_ok=True)
env["CUDA_MPS_PIPE_DIRECTORY"] = pipe_dir
env["CUDA_MPS_LOG_DIRECTORY"] = log_dir
control_socket = os.path.join(pipe_dir, "control")
if not os.path.exists(control_socket):
start = subprocess.run(
["nvidia-cuda-mps-control", "-d"],
env=env,
stdout=subprocess.DEVNULL,
stderr=subprocess.DEVNULL,
)
if start.returncode != 0:
print(f" Warning: failed to start private CUDA MPS daemon in {pipe_dir}")
else:
print(f" Using private CUDA MPS pipe directory: {pipe_dir}")
else:
print(f" Using existing private CUDA MPS pipe directory: {pipe_dir}")
return env
##################################################################
################################################################## ##################################################################
@@ -146,16 +189,29 @@ def run_ABE():
## Define the command to run; cast other values to strings as needed ## Define the command to run; cast other values to strings as needed
run_env = None
if (input_data.GPU_Calculation == "no"): if (input_data.GPU_Calculation == "no"):
mpi_command = NUMACTL_CPU_BIND + " mpirun -np " + str(input_data.MPI_processes) + " ./ABE" mpi_command = NUMACTL_CPU_BIND + " mpirun -np " + str(input_data.MPI_processes) + " ./ABE"
#mpi_command = " mpirun -np " + str(input_data.MPI_processes) + " ./ABE" #mpi_command = " mpirun -np " + str(input_data.MPI_processes) + " ./ABE"
mpi_command_outfile = "ABE_out.log" mpi_command_outfile = "ABE_out.log"
elif (input_data.GPU_Calculation == "yes"): elif (input_data.GPU_Calculation == "yes"):
mpi_command = NUMACTL_CPU_BIND + " mpirun -np " + str(input_data.MPI_processes) + " ./ABEGPU" run_env = prepare_gpu_runtime_env()
if int(input_data.MPI_processes) == 1:
mpi_command = "./ABEGPU"
else:
mpi_command = NUMACTL_CPU_BIND + " mpirun -np " + str(input_data.MPI_processes) + " ./ABEGPU"
mpi_command_outfile = "ABEGPU_out.log" mpi_command_outfile = "ABEGPU_out.log"
## Execute the MPI command and stream output ## Execute the MPI command and stream output
mpi_process = subprocess.Popen(mpi_command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True) mpi_process = subprocess.Popen(
mpi_command,
shell=True,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
text=True,
env=run_env,
)
## Write ABE run output to file while printing to stdout ## Write ABE run output to file while printing to stdout
with open(mpi_command_outfile, 'w') as file0: with open(mpi_command_outfile, 'w') as file0: