Files
kernels/tests/regression/sgemm_tcore/kernel.cpp
2024-06-10 22:08:37 -07:00

786 lines
34 KiB
C++

#define RISCV_CUSTOM3 0x7B
#include <stdint.h>
#include <vx_intrinsics.h>
#include <vx_print.h>
#include <vx_spawn.h>
#include "common.h"
#include "include/gemmini.h"
#include "gemmini_mmio.h"
#define NUM_LANES 8
#if SMEM_SIZE != 0x4000
#error Currently only supports 16K spad
#endif
#define SMEM_ADDR_Q0 ((float * const) 0xff000000)
#define SMEM_ADDR_Q1 ((float * const) 0xff001000)
#define SMEM_ADDR_Q2 ((float * const) 0xff002000)
#define SMEM_ADDR_Q3 ((float * const) 0xff003000)
#define SPAD_ADDR_Q0 0x0
#define SPAD_ADDR_Q1 0x80
#define SPAD_ADDR_Q2 0x100
#define SPAD_ADDR_Q3 0x180
// number of loop around the inner 0..TCK..BK loop to simulate perfect-DRAM
// scenario
#define BK_LOOP 1
#define TRANSPOSE_AS 1
// GMEM_COALESCED sets bank conflict-free accesses for
// 1: GMEM loads of A matrix
// 0: SMEM stores of A matrix
#define GMEM_COALESCED_A 1
#define GEMMINI_DMA 1
// Constraints on parameters:
// * Memory:
// (BM + BN) * BK * sizeof(float) <= sharedmem size.
// BM * BK == BN * BK >= threadblock size >= NT * CORES_PER_CLUSTER
// When larger, the kernel runs a sequential loop to read into sharedmem;
// but smaller case is not handled.
// * Compute:
// ( M* N) / (TM*TN) == grid size >= NC*NW*NT
// (BM*BN) / (TM*TN) == threadblock size < NT * NW * CORES_PER_CLUSTER
// (BM*BN) / (TM*TN) == threadblock size >= NT * CORES_PER_CLUSTER
// * Combining BM * BK >= (BM*BN) / (TM*TN) == threadblock yields
// BM <= BK*TM*TN
#define BM 32
#define BN 32
#define BK 32
#define WM 16
#define WN 8
#define TCM 8
#define TCN 8
#define TCK 8
#define WMITER (WM / TCM)
#define WNITER (WN / TCN)
#define ELEM_PER_THREAD (WMITER * WNITER * (TCM * TCN) / NUM_LANES)
// FIXME: NUM_THREADS and NUM_WARPS hardcoded
#if ((BM * BN / ELEM_PER_THREAD) > (CORES_PER_CLUSTER * 8 * 8))
#error "threadblock size too big for cluster"
#endif
inline constexpr void map_operand_32lanes(const int tid, int &row, int &col) {
const int tg = tid / 4;
// A (row major)
// Figure 7(a) in paper
// row 0~ 3: threadgroups 0 and 2
// row 4~ 7: threadgroups 4 and 6
// row 8~11: threadgroups 1 and 3
// row 12~15: threadgroups 5 and 7
row = tid % 4;
row += (tg * 8) % 16;
row += (tg / 4) * 4;
// B (column major)
// NOTE: Matrix B mapping in Figure 7(a) is incorrect; below is the
// corrected mapping:
// col 0~ 3: threadgroups 0 and 1
// col 4~ 7: threadgroups 4 and 5
// col 8~11: threadgroups 2 and 3
// col 12~15: threadgroups 6 and 7
col = tid % 4;
col += ((tg % 4) / 2) * 8;
col += (tg / 4) * 4;
}
inline constexpr void map_operand_8lanes(const int tid, int &row, int &col) {
const int tg = tid / 4;
// A (row major)
// row 0~ 3: threadgroup 0
// row 4~ 7: threadgroup 1
row = tid % 4;
row += tg * 4;
// B (column major)
// col 0~ 3: threadgroup 0
// col 4~ 7: threadgroup 1
col = tid % 4;
col += tg * 4;
}
inline constexpr void map_operand(const int tid, int &row, int &col) {
if constexpr (NUM_LANES == 32) {
map_operand_32lanes(tid, row, col);
} else if constexpr (NUM_LANES == 8) {
map_operand_8lanes(tid, row, col);
} else {
// FIXME: not allowed
}
}
inline constexpr void map_c_32lanes(const int tid, int &row, int &col) {
const int tg = tid / 4;
// C
// Figure 7(b), left
col = ((tg % 4) / 2) * 8;
row = (tg * 8) % 16;
row += (tg / 4) * 4;
// Figure 7(b), right
row += (tid % 4) % 2;
col += ((tid % 4) / 2) * 2;
}
inline constexpr void map_c_8lanes(const int tid, int &row, int &col) {
const int tg = tid / 4;
// C
col = 0;
row = tg * 4;
// Figure 7(b), right
row += (tid % 4) % 2;
col += ((tid % 4) / 2) * 2;
}
inline constexpr void map_c(const int tid, int &row, int &col) {
if constexpr (NUM_LANES == 32) {
map_c_32lanes(tid, row, col);
} else if constexpr (NUM_LANES == 8) {
map_c_8lanes(tid, row, col);
} else {
// FIXME: not allowed
}
}
inline void vx_wmma(const int dest_reg) {
if (dest_reg == 0) {
asm volatile (".insn r %0, 0, 0, x0, x0, x0" :: "i"(RISCV_CUSTOM3));
} else {
asm volatile (".insn r %0, 0, 0, x1, x0, x0" :: "i"(RISCV_CUSTOM3));
}
}
// `local_k` is assumed to be multiple of TCK
inline void vx_wmma_load_a(volatile float *smem_A, const int local_k,
const int warp_row, const int wm_iter, const int thread_in_warp) {
const int tid = thread_in_warp;
const int tg = tid / 4;
// TODO: this is duplicately computed between vx_wmma_load_a and vx_wmma_load_b
int row = 0;
int col = 0;
map_operand(tid, row, col);
constexpr int smem_A_rows = BM;
constexpr int smem_A_cols = BK;
constexpr int smem_AS_rows = BK;
constexpr int smem_AS_cols = BM;
if constexpr (!TRANSPOSE_AS) {
// int A_offset = (WM * warp_row + TCM * wm_iter + row) * smem_A_cols;
// @perf: bank conflicts
// f8-f15 stores a single row of A
volatile float *smem_addr;
smem_addr = &smem_A[(WM * warp_row + TCM * wm_iter + row) * smem_A_cols + local_k];
asm volatile("flw f0, %0(%1)" ::"i"(0 * sizeof(float)), "r"(smem_addr));
asm volatile("flw f1, %0(%1)" ::"i"(1 * sizeof(float)), "r"(smem_addr));
asm volatile("flw f2, %0(%1)" ::"i"(2 * sizeof(float)), "r"(smem_addr));
asm volatile("flw f3, %0(%1)" ::"i"(3 * sizeof(float)), "r"(smem_addr));
asm volatile("flw f4, %0(%1)" ::"i"(4 * sizeof(float)), "r"(smem_addr));
asm volatile("flw f5, %0(%1)" ::"i"(5 * sizeof(float)), "r"(smem_addr));
asm volatile("flw f6, %0(%1)" ::"i"(6 * sizeof(float)), "r"(smem_addr));
asm volatile("flw f7, %0(%1)" ::"i"(7 * sizeof(float)), "r"(smem_addr));
// asm volatile("flw f0, %0" ::"m"(smem_A[A_offset + (local_k + 0)]));
// asm volatile("flw f1, %0" ::"m"(smem_A[A_offset + (local_k + 1)]));
// asm volatile("flw f2, %0" ::"m"(smem_A[A_offset + (local_k + 2)]));
// asm volatile("flw f3, %0" ::"m"(smem_A[A_offset + (local_k + 3)]));
// asm volatile("flw f4, %0" ::"m"(smem_A[A_offset + (local_k + 4)]));
// asm volatile("flw f5, %0" ::"m"(smem_A[A_offset + (local_k + 5)]));
// asm volatile("flw f6, %0" ::"m"(smem_A[A_offset + (local_k + 6)]));
// asm volatile("flw f7, %0" ::"m"(smem_A[A_offset + (local_k + 7)]));
} else {
// transposed A
// f8-f15 stores a single row of A
volatile float *smem_addr;
smem_addr = &smem_A[((local_k + 0) * smem_AS_cols) + (WM * warp_row + TCM * wm_iter) + row];
asm volatile("flw f0, %0(%1)" :: "i"(smem_AS_cols * 0 * sizeof(float)), "r"(smem_addr));
asm volatile("flw f1, %0(%1)" :: "i"(smem_AS_cols * 1 * sizeof(float)), "r"(smem_addr));
asm volatile("flw f2, %0(%1)" :: "i"(smem_AS_cols * 2 * sizeof(float)), "r"(smem_addr));
asm volatile("flw f3, %0(%1)" :: "i"(smem_AS_cols * 3 * sizeof(float)), "r"(smem_addr));
asm volatile("flw f4, %0(%1)" :: "i"(smem_AS_cols * 4 * sizeof(float)), "r"(smem_addr));
asm volatile("flw f5, %0(%1)" :: "i"(smem_AS_cols * 5 * sizeof(float)), "r"(smem_addr));
asm volatile("flw f6, %0(%1)" :: "i"(smem_AS_cols * 6 * sizeof(float)), "r"(smem_addr));
asm volatile("flw f7, %0(%1)" :: "i"(smem_AS_cols * 7 * sizeof(float)), "r"(smem_addr));
// asm volatile("flw f0, %0" ::"m"(smem_A[((local_k + 0) * smem_AS_cols) + (WM * warp_row + TCM * wm_iter) + row]));
// asm volatile("flw f1, %0" ::"m"(smem_A[((local_k + 1) * smem_AS_cols) + (WM * warp_row + TCM * wm_iter) + row]));
// asm volatile("flw f2, %0" ::"m"(smem_A[((local_k + 2) * smem_AS_cols) + (WM * warp_row + TCM * wm_iter) + row]));
// asm volatile("flw f3, %0" ::"m"(smem_A[((local_k + 3) * smem_AS_cols) + (WM * warp_row + TCM * wm_iter) + row]));
// asm volatile("flw f4, %0" ::"m"(smem_A[((local_k + 4) * smem_AS_cols) + (WM * warp_row + TCM * wm_iter) + row]));
// asm volatile("flw f5, %0" ::"m"(smem_A[((local_k + 5) * smem_AS_cols) + (WM * warp_row + TCM * wm_iter) + row]));
// asm volatile("flw f6, %0" ::"m"(smem_A[((local_k + 6) * smem_AS_cols) + (WM * warp_row + TCM * wm_iter) + row]));
// asm volatile("flw f7, %0" ::"m"(smem_A[((local_k + 7) * smem_AS_cols) + (WM * warp_row + TCM * wm_iter) + row]));
}
}
// `local_k` is assumed to be multiple of TCK
inline void vx_wmma_load_b(volatile float *smem_B, const int local_k,
const int warp_col, const int wn_iter,
const int thread_in_warp) {
const int tid = thread_in_warp;
const int tg = tid / 4;
int row = 0;
int col = 0;
map_operand(tid, row, col);
constexpr int smem_B_rows = BK;
constexpr int smem_B_cols = BN;
// f8-f15 stores a single column of B
volatile float *smem_addr;
smem_addr = &smem_B[((local_k + 0) * smem_B_cols) + (WN * warp_col + TCN * wn_iter) + col];
asm volatile("flw f8, %0(%1)" :: "i"(smem_B_cols * 0 * sizeof(float)), "r"(smem_addr));
asm volatile("flw f9, %0(%1)" :: "i"(smem_B_cols * 1 * sizeof(float)), "r"(smem_addr));
asm volatile("flw f10, %0(%1)" :: "i"(smem_B_cols * 2 * sizeof(float)), "r"(smem_addr));
asm volatile("flw f11, %0(%1)" :: "i"(smem_B_cols * 3 * sizeof(float)), "r"(smem_addr));
asm volatile("flw f12, %0(%1)" :: "i"(smem_B_cols * 4 * sizeof(float)), "r"(smem_addr));
asm volatile("flw f13, %0(%1)" :: "i"(smem_B_cols * 5 * sizeof(float)), "r"(smem_addr));
asm volatile("flw f14, %0(%1)" :: "i"(smem_B_cols * 6 * sizeof(float)), "r"(smem_addr));
asm volatile("flw f15, %0(%1)" :: "i"(smem_B_cols * 7 * sizeof(float)), "r"(smem_addr));
// asm volatile("flw f8, %0" ::"m"(smem_B[((local_k + 0) * smem_B_cols) + (WN * warp_col + TCN * wn_iter) + col]));
// asm volatile("flw f9, %0" ::"m"(smem_B[((local_k + 1) * smem_B_cols) + (WN * warp_col + TCN * wn_iter) + col]));
// asm volatile("flw f10, %0" ::"m"(smem_B[((local_k + 2) * smem_B_cols) + (WN * warp_col + TCN * wn_iter) + col]));
// asm volatile("flw f11, %0" ::"m"(smem_B[((local_k + 3) * smem_B_cols) + (WN * warp_col + TCN * wn_iter) + col]));
// asm volatile("flw f12, %0" ::"m"(smem_B[((local_k + 4) * smem_B_cols) + (WN * warp_col + TCN * wn_iter) + col]));
// asm volatile("flw f13, %0" ::"m"(smem_B[((local_k + 5) * smem_B_cols) + (WN * warp_col + TCN * wn_iter) + col]));
// asm volatile("flw f14, %0" ::"m"(smem_B[((local_k + 6) * smem_B_cols) + (WN * warp_col + TCN * wn_iter) + col]));
// asm volatile("flw f15, %0" ::"m"(smem_B[((local_k + 7) * smem_B_cols) + (WN * warp_col + TCN * wn_iter) + col]));
}
inline void initialize_C(const int dest_reg) {
// initialize C to zeros
if (dest_reg == 0) {
asm volatile("fmv.w.x f16, x0");
asm volatile("fmv.w.x f17, x0");
asm volatile("fmv.w.x f18, x0");
asm volatile("fmv.w.x f19, x0");
asm volatile("fmv.w.x f20, x0");
asm volatile("fmv.w.x f21, x0");
asm volatile("fmv.w.x f22, x0");
asm volatile("fmv.w.x f23, x0");
} else {
asm volatile("fmv.w.x f24, x0");
asm volatile("fmv.w.x f25, x0");
asm volatile("fmv.w.x f26, x0");
asm volatile("fmv.w.x f27, x0");
asm volatile("fmv.w.x f28, x0");
asm volatile("fmv.w.x f29, x0");
asm volatile("fmv.w.x f30, x0");
asm volatile("fmv.w.x f31, x0");
}
}
inline void write_results(const int thread_in_warp, const int warp_col,
const int warp_row, const int wn_iter,
const int wm_iter, const int dim_n,
float *C, const int threadblock_id_x,
const int threadblock_id_y) {
int tid = thread_in_warp;
// these are [0, TCM/TCN)
int tid_row = 0;
int tid_col = 0;
map_c(tid, tid_row, tid_col);
int local_row = (WM * warp_row + TCM * wm_iter) + tid_row;
int local_col = (WN * warp_col + TCN * wn_iter) + tid_col;
float *global_offset_C = C +
(BM * threadblock_id_y) * dim_n +
BN * threadblock_id_x;
// @perf: this likely causes a lot of gmem bank conflicts
if (wm_iter == 0) {
volatile float *gmem_addr = &global_offset_C[dim_n * (local_row + 0) + (local_col + 0)];
volatile float *gmem_addr_tmp = gmem_addr + (2 * dim_n);
asm volatile ("fsw f16, %0(%1)" :: "i"(0 * sizeof(float)), "r"(gmem_addr));
asm volatile ("fsw f17, %0(%1)" :: "i"(1 * sizeof(float)), "r"(gmem_addr));
asm volatile ("fsw f18, %0(%1)" :: "i"(0 * sizeof(float)), "r"(gmem_addr_tmp));
asm volatile ("fsw f19, %0(%1)" :: "i"(1 * sizeof(float)), "r"(gmem_addr_tmp));
asm volatile ("fsw f20, %0(%1)" :: "i"(4 * sizeof(float)), "r"(gmem_addr));
asm volatile ("fsw f21, %0(%1)" :: "i"(5 * sizeof(float)), "r"(gmem_addr));
asm volatile ("fsw f22, %0(%1)" :: "i"(4 * sizeof(float)), "r"(gmem_addr_tmp));
asm volatile ("fsw f23, %0(%1)" :: "i"(5 * sizeof(float)), "r"(gmem_addr_tmp));
// asm volatile ("fsw f16, %0" :: "m"(global_offset_C[dim_n * (local_row + 0) + (local_col + 0)]));
// asm volatile ("fsw f17, %0" :: "m"(global_offset_C[dim_n * (local_row + 0) + (local_col + 1)]));
// asm volatile ("fsw f18, %0" :: "m"(global_offset_C[dim_n * (local_row + 2) + (local_col + 0)]));
// asm volatile ("fsw f19, %0" :: "m"(global_offset_C[dim_n * (local_row + 2) + (local_col + 1)]));
// asm volatile ("fsw f20, %0" :: "m"(global_offset_C[dim_n * (local_row + 0) + (local_col + 4)]));
// asm volatile ("fsw f21, %0" :: "m"(global_offset_C[dim_n * (local_row + 0) + (local_col + 5)]));
// asm volatile ("fsw f22, %0" :: "m"(global_offset_C[dim_n * (local_row + 2) + (local_col + 4)]));
// asm volatile ("fsw f23, %0" :: "m"(global_offset_C[dim_n * (local_row + 2) + (local_col + 5)]));
} else {
volatile float *gmem_addr = &global_offset_C[dim_n * (local_row + 0) + (local_col + 0)];
volatile float *gmem_addr_tmp = gmem_addr + (2 * dim_n);
asm volatile ("fsw f24, %0(%1)" :: "i"(0 * sizeof(float)), "r"(gmem_addr));
asm volatile ("fsw f25, %0(%1)" :: "i"(1 * sizeof(float)), "r"(gmem_addr));
asm volatile ("fsw f26, %0(%1)" :: "i"(0 * sizeof(float)), "r"(gmem_addr_tmp));
asm volatile ("fsw f27, %0(%1)" :: "i"(1 * sizeof(float)), "r"(gmem_addr_tmp));
asm volatile ("fsw f28, %0(%1)" :: "i"(4 * sizeof(float)), "r"(gmem_addr));
asm volatile ("fsw f29, %0(%1)" :: "i"(5 * sizeof(float)), "r"(gmem_addr));
asm volatile ("fsw f30, %0(%1)" :: "i"(4 * sizeof(float)), "r"(gmem_addr_tmp));
asm volatile ("fsw f31, %0(%1)" :: "i"(5 * sizeof(float)), "r"(gmem_addr_tmp));
}
}
inline void threadblock_barrier(const uint32_t barrier_id, const uint32_t count) {
vx_fence();
vx_barrier(barrier_id, count);
// vx_barrier(0, count);
}
inline void global_dmem_load(const uint32_t dim_n, const uint32_t dim_k,
const uint32_t k, const float *A, const float *B,
volatile float *local_a, volatile float *local_b,
const uint32_t tid_in_threadblock,
const uint32_t threadblock_id_x,
const uint32_t threadblock_id_y) {
const uint32_t local_a_row = tid_in_threadblock / BK;
const uint32_t local_a_col = tid_in_threadblock % BK;
const uint32_t local_as_row = tid_in_threadblock / BM;
const uint32_t local_as_col = tid_in_threadblock % BM;
const uint32_t local_b_row = tid_in_threadblock / BN;
const uint32_t local_b_col = tid_in_threadblock % BN;
constexpr uint32_t threads_in_threadblock = (BM * BN) / ELEM_PER_THREAD;
// Data move from GMEM to SMEM
//
// Make sure global offset values for A and B are contiguous between
// neighboring threads to ensure GMEM coalescing.
//
// TODO: Sharedmem swizzling is important here
if constexpr (!TRANSPOSE_AS) {
// FIXME: !TRANSPOSE_AS code is old
const uint32_t global_a_row = BM * threadblock_id_y + local_a_row;
// number of rows a full TB can read at a time
constexpr uint32_t row_stride_a = threads_in_threadblock / BK;
const float *global_a = A + dim_k * global_a_row + (k + local_a_col);
volatile float *local_a_tmp = local_a + BK * local_a_row + local_a_col;
#pragma GCC unroll 1
for (uint32_t local_row_offset = 0; local_row_offset < BM;
local_row_offset += row_stride_a) {
// const uint32_t global_a_offset =
// dim_k * (global_a_row + local_row_offset) + (k + local_a_col);
// local_a[BK * (local_a_row + local_row_offset) + local_a_col] =
// A[global_a_offset];
*local_a_tmp = *global_a;
global_a += dim_k * row_stride_a;
local_a_tmp += BK * row_stride_a;
}
} else {
if constexpr (!GMEM_COALESCED_A) {
constexpr uint32_t row_stride_as = threads_in_threadblock / BM;
const uint32_t global_a_row = BM * threadblock_id_y + local_as_col;
const float *global_a = A + dim_k * global_a_row + (k + local_as_row);
// FIXME experimenting with global coalescing
// const uint32_t global_a_row = BM * threadblock_id_y + local_as_row;
// const float *global_a = A + dim_k * global_a_row + (k + local_as_col);
volatile float *local_a_tmp = local_a + BM * local_as_row + local_as_col;
static_assert(
row_stride_as * 8 <= BK,
"manual loop unrolling condition not met; consider increasing BK");
static_assert(
(BK % (row_stride_as * 8)) == 0,
"manual loop unrolling condition not met; BK should be power-of-two");
#pragma GCC unroll 1
for (uint32_t local_row_offset = 0; local_row_offset < BK;
local_row_offset += row_stride_as * 8) {
// @perf: bank conflicts here
// const uint32_t global_a_offset =
// dim_k * (global_a_row) + (k + local_as_row + local_row_offset);
// FIXME experimenting with global coalescing
// const uint32_t global_a_offset =
// dim_k * (global_a_row + local_row_offset) + (k + local_as_col);
// local_a[BM * (local_as_row + local_row_offset) + local_as_col] =
// A[global_a_offset];
// *local_a_tmp = *global_a;
asm volatile ("flw ft0, (%0)" :: "r"(global_a));
global_a += row_stride_as;
asm volatile ("flw ft1, (%0)" :: "r"(global_a));
global_a += row_stride_as;
asm volatile ("flw ft2, (%0)" :: "r"(global_a));
global_a += row_stride_as;
asm volatile ("flw ft3, (%0)" :: "r"(global_a));
global_a += row_stride_as;
asm volatile ("flw ft4, (%0)" :: "r"(global_a));
global_a += row_stride_as;
asm volatile ("flw ft5, (%0)" :: "r"(global_a));
global_a += row_stride_as;
asm volatile ("flw ft6, (%0)" :: "r"(global_a));
global_a += row_stride_as;
asm volatile ("flw ft7, (%0)" :: "r"(global_a));
global_a += row_stride_as;
asm volatile ("fsw ft0, %0(%1)" :: "i"(BM * row_stride_as * 0 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft1, %0(%1)" :: "i"(BM * row_stride_as * 1 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft2, %0(%1)" :: "i"(BM * row_stride_as * 2 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft3, %0(%1)" :: "i"(BM * row_stride_as * 3 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft4, %0(%1)" :: "i"(BM * row_stride_as * 4 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft5, %0(%1)" :: "i"(BM * row_stride_as * 5 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft6, %0(%1)" :: "i"(BM * row_stride_as * 6 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft7, %0(%1)" :: "i"(BM * row_stride_as * 7 * sizeof(float)), "r"(local_a_tmp));
local_a_tmp += BM * row_stride_as * 8;
}
} else {
constexpr uint32_t row_stride_a = threads_in_threadblock / BK;
const uint32_t global_a_row = BM * threadblock_id_y + local_a_row;
const float *global_a = A + dim_k * global_a_row + (k + local_a_col);
// NOTE that SMEM writes are transposed
volatile float *local_a_tmp = local_a + BM * local_a_col + local_a_row;
static_assert(
row_stride_a * 8 <= BM,
"manual loop unrolling condition not met; consider increasing BM");
static_assert(
(BM % (row_stride_a * 8)) == 0,
"manual loop unrolling condition not met; BM should be power-of-two");
#pragma GCC unroll 1
for (uint32_t local_row_offset = 0; local_row_offset < BM;
local_row_offset += row_stride_a * 8) {
// const uint32_t global_a_offset =
// dim_k * (global_a_row + local_row_offset) + (k + local_a_col);
// NOTE that SMEM writes are transposed
// local_a[BM * (local_a_col) + local_a_row + local_row_offset] =
// A[global_a_offset];
asm volatile ("flw ft0, (%0)" :: "r"(global_a));
global_a += dim_k * row_stride_a;
asm volatile ("flw ft1, (%0)" :: "r"(global_a));
global_a += dim_k * row_stride_a;
asm volatile ("flw ft2, (%0)" :: "r"(global_a));
global_a += dim_k * row_stride_a;
asm volatile ("flw ft3, (%0)" :: "r"(global_a));
global_a += dim_k * row_stride_a;
asm volatile ("flw ft4, (%0)" :: "r"(global_a));
global_a += dim_k * row_stride_a;
asm volatile ("flw ft5, (%0)" :: "r"(global_a));
global_a += dim_k * row_stride_a;
asm volatile ("flw ft6, (%0)" :: "r"(global_a));
global_a += dim_k * row_stride_a;
asm volatile ("flw ft7, (%0)" :: "r"(global_a));
global_a += dim_k * row_stride_a;
// stride along columns
asm volatile ("fsw ft0, %0(%1)" :: "i"(row_stride_a * 0 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft1, %0(%1)" :: "i"(row_stride_a * 1 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft2, %0(%1)" :: "i"(row_stride_a * 2 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft3, %0(%1)" :: "i"(row_stride_a * 3 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft4, %0(%1)" :: "i"(row_stride_a * 4 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft5, %0(%1)" :: "i"(row_stride_a * 5 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft6, %0(%1)" :: "i"(row_stride_a * 6 * sizeof(float)), "r"(local_a_tmp));
asm volatile ("fsw ft7, %0(%1)" :: "i"(row_stride_a * 7 * sizeof(float)), "r"(local_a_tmp));
local_a_tmp += row_stride_a * 8;
}
}
}
constexpr uint32_t row_stride_b = threads_in_threadblock / BN;
const uint32_t global_b_col = BN * threadblock_id_x + local_b_col;
const float *global_b = B + dim_n * (k + local_b_row) + global_b_col;
volatile float *local_b_tmp = local_b + BN * local_b_row + local_b_col;
static_assert(
row_stride_b * 8 <= BK,
"manual loop unrolling condition not met; consider increasing BK");
static_assert(
(BK % (row_stride_b * 8)) == 0,
"manual loop unrolling condition not met; BK should be power-of-two");
#pragma GCC unroll 1
for (uint32_t load_offset = 0; load_offset < BK;
load_offset += row_stride_b * 8) {
// const uint32_t global_b_offset =
// dim_n * (k + local_b_row + load_offset) + global_b_col;
// local_b[BN * (local_b_row + load_offset) + local_b_col] =
// B[global_b_offset];
// *local_b_tmp = *global_b;
// global_b += dim_n * row_stride_b;
// local_b_tmp += BN * row_stride_b;
asm volatile ("flw ft0, (%0)" :: "r"(global_b));
global_b += dim_n * row_stride_b;
asm volatile ("flw ft1, (%0)" :: "r"(global_b));
global_b += dim_n * row_stride_b;
asm volatile ("flw ft2, (%0)" :: "r"(global_b));
global_b += dim_n * row_stride_b;
asm volatile ("flw ft3, (%0)" :: "r"(global_b));
global_b += dim_n * row_stride_b;
asm volatile ("flw ft4, (%0)" :: "r"(global_b));
global_b += dim_n * row_stride_b;
asm volatile ("flw ft5, (%0)" :: "r"(global_b));
global_b += dim_n * row_stride_b;
asm volatile ("flw ft6, (%0)" :: "r"(global_b));
global_b += dim_n * row_stride_b;
asm volatile ("flw ft7, (%0)" :: "r"(global_b));
global_b += dim_n * row_stride_b;
asm volatile ("fsw ft0, %0(%1)" :: "i"(BN * row_stride_b * 0 * sizeof(float)), "r"(local_b_tmp));
asm volatile ("fsw ft1, %0(%1)" :: "i"(BN * row_stride_b * 1 * sizeof(float)), "r"(local_b_tmp));
asm volatile ("fsw ft2, %0(%1)" :: "i"(BN * row_stride_b * 2 * sizeof(float)), "r"(local_b_tmp));
asm volatile ("fsw ft3, %0(%1)" :: "i"(BN * row_stride_b * 3 * sizeof(float)), "r"(local_b_tmp));
local_b_tmp += BN * row_stride_b * 4;
asm volatile ("fsw ft4, %0(%1)" :: "i"(BN * row_stride_b * 0 * sizeof(float)), "r"(local_b_tmp));
asm volatile ("fsw ft5, %0(%1)" :: "i"(BN * row_stride_b * 1 * sizeof(float)), "r"(local_b_tmp));
asm volatile ("fsw ft6, %0(%1)" :: "i"(BN * row_stride_b * 2 * sizeof(float)), "r"(local_b_tmp));
asm volatile ("fsw ft7, %0(%1)" :: "i"(BN * row_stride_b * 3 * sizeof(float)), "r"(local_b_tmp));
local_b_tmp += BN * row_stride_b * 4;
}
}
inline void thread_block_gemm(kernel_arg_t *__UNIFORM__ arg,
const uint32_t tid_in_threadblock,
const uint32_t threads_per_threadblock,
const uint32_t threadblock_dim_y,
/*const uint32_t threadblock_id_x,
const uint32_t threadblock_id_y,*/
// const uint32_t threadblock_id_in_cluster,
float *sharedmem_per_threadblock) {
const float *A = (const float *)arg->addr_a;
const float *B = (const float *)arg->addr_b;
float *C = (float *)arg->addr_c;
const uint32_t dim_m = arg->dim_m;
const uint32_t dim_n = arg->dim_n;
const uint32_t dim_k = arg->dim_k;
const uint32_t local_a_row = tid_in_threadblock / BK;
const uint32_t local_a_col = tid_in_threadblock % BK;
const uint32_t local_as_row = tid_in_threadblock / BM;
const uint32_t local_as_col = tid_in_threadblock % BM;
const uint32_t local_b_row = tid_in_threadblock / BN;
const uint32_t local_b_col = tid_in_threadblock % BN;
// no double-buffering
const uint32_t threads_per_warpgroup = threads_per_threadblock;
const uint32_t warp_id_in_warpgroup = tid_in_threadblock / NUM_LANES;
const uint32_t warp_row = warp_id_in_warpgroup / (BN / WN);
const uint32_t warp_col = warp_id_in_warpgroup % (BN / WN);
const uint32_t tid_in_warp = tid_in_threadblock % NUM_LANES;
volatile float *local_a = sharedmem_per_threadblock;
constexpr size_t local_a_elems = (BM * BK);
volatile float *local_b = sharedmem_per_threadblock + local_a_elems;
constexpr size_t local_b_elems = (BK * BN);
volatile float *local_a_buf = local_b + local_b_elems;
volatile float *local_b_buf = local_a_buf + local_a_elems;
constexpr uint32_t skips =
loop_matmul_skips(/*skip_lda=*/0, /*skip_ldb=*/0, /*skip_ldd=*/1,
/*skip_ex=*/1, /*skip_stc=*/1);
#if (GEMMINI_DMA == 1)
if (tid_in_threadblock == 0) {
gemmini_extended_config_ex(WEIGHT_STATIONARY, 0, 0, 1, 0, 0);
// gemmini_extended_config_ex(dataflow, act & 3, 0, 1, a_transpose,
// b_transpose);
gemmini_extended3_config_ld(dim_k * sizeof(elem_t), MVIN_SCALE_IDENTITY,
false, 0);
gemmini_extended3_config_ld(dim_n * sizeof(elem_t), MVIN_SCALE_IDENTITY,
false, 1);
gemmini_extended_config_st(dim_n * sizeof(elem_t), 0, MVIN_SCALE_IDENTITY);
gemmini_fence();
}
#endif
#pragma GCC unroll 1
for (uint32_t block_m = 0; (block_m * BM) < dim_m; block_m++) {
#pragma GCC unroll 1
for (uint32_t block_n = 0; (block_n * BN) < dim_n; block_n++) {
// clear out C
initialize_C(0);
initialize_C(1);
// NOTE: this *should* be signed integer to trigger arithmetic
// right-shift
int32_t k_index = 0;
#pragma GCC unroll 1
for (uint32_t block_k = 0; (block_k * BK) < (dim_k); block_k++) {
k_index++;
// producer code: GMEM->SMEM memory movement
// ---------------------------------------------------------------------
//
// this is either done using DMA or SIMT cores depending on GEMMINI_DMA
#if (GEMMINI_DMA == 1)
if (tid_in_threadblock == 0) {
// configure dma gmem address to load from
// FIXME: block_k is wrong
ROCC_INSTRUCTION_RS1_RS2(
XCUSTOM_ACC,
(uint64_t)(A + block_m * BM * dim_k + block_k * BK),
(uint64_t)(B + block_k * BK * dim_n + block_n * BN),
k_LOOP_WS_CONFIG_ADDRS_AB)
// GEMMINI_CISC(8) does k_LOOP_WS_CONFIG_STRIDES_AB
GEMMINI_CISC_CMD_R((dim_n << 16) | (dim_k << 8) | 8);
// gemmini_fence();
GEMMINI_CISC_CMD_I(13);
// configure loop iteration bounds
// FIXME: shouldn't be necessary
// #define BOUND_INST 0x400040004ULL
// ROCC_INSTRUCTION_RS1_RS2(XCUSTOM_ACC, 0, BOUND_INST,
// k_LOOP_WS_CONFIG_BOUNDS) ROCC_INSTRUCTION_RS1_RS2(XCUSTOM_ACC,
// SPAD_ADDR_Q0, SPAD_ADDR_Q1, k_LOOP_WS_CONFIG_SPAD_AB)
// ROCC_INSTRUCTION_RS1_RS2(
// XCUSTOM_ACC,
// ((uint64_t)(/*a_spad_id:*/ 0) << 18) |
// ((uint64_t)(/*b_spad_id:*/ 0) << 16) |
// ((uint64_t)(/*act:0*/ 0) << 8) | ((/*low_D:*/ 0) << 2) |
// ((/*full_C:*/ 0) << 1) | (/*ex_accumulate:*/ 0),
// ((uint64_t)(/*C_spad_addr:*/ A) << 32) | 0x200U | (skips) |
// ((/*is_resadd*/ 0) << 2) | ((/*B_transpose:*/ 0) << 1) |
// (/*A_transpose:*/ 1),
// k_LOOP_WS)
// gemmini_fence();
// sp_tiled_matmul_full_spad_ws includes CONFIG_BOUNDS
// FIXME: block_k is 0 for two times
// sp_tiled_matmul_full_spad_ws(
// #if 1
// SPAD_ADDR_Q2,
// SPAD_ADDR_Q3,
// #else
// (/*block_k:*/ 0 & 1) ? SPAD_ADDR_Q2 : SPAD_ADDR_Q0,
// (/*block_k:*/ 0 & 1) ? SPAD_ADDR_Q3 : SPAD_ADDR_Q1,
// #endif
// /*spad_D=*/0, /*spad_C=*/SPAD_ADDR_Q1,
// /*I=*/BM / DIM, /*J=*/BN / DIM, /*K=*/BK / DIM, /*pad_I=*/0,
// /*pad_J=*/0, /*pad_K=*/0,
// /*a_transpose=*/1, /*b_transpose=*/0, /*full_C=*/0, /*low_D=*/0,
// /*acc=*/0, /*act=*/NO_ACTIVATION, /*skips=*/skips)
// gemmini_fence();
}
#else
global_dmem_load(dim_n, dim_k, block_k * BK, A, B, local_a, local_b,
tid_in_threadblock, block_n, block_m);
threadblock_barrier(0 /*threadblock_id_in_cluster*/, threadblock_dim_y);
#endif
// consumer code: SMEM->RF and compute
// ----------------------------------------------------------------------
// @perf: this loop spills to stack a lot because of all the flws in
#pragma GCC unroll 1
for (int i = 0; i < BK_LOOP; i++) {
#pragma GCC unroll 4
for (uint32_t local_k = 0; local_k < BK; local_k += TCK) {
#pragma GCC unroll 2
for (int wn_iter = 0; wn_iter < WNITER; wn_iter++) {
// SMEM -> RF
vx_wmma_load_b(local_b, local_k, warp_col, wn_iter, tid_in_warp);
#pragma GCC unroll 2
for (int wm_iter = 0; wm_iter < WMITER; wm_iter++) {
// SMEM -> RF
vx_wmma_load_a(local_a, local_k, warp_row, wm_iter,
tid_in_warp);
// perform mma
vx_wmma(wm_iter);
}
}
}
}
// Call gemmini fence at the end of the loop to overlap dma & wmma.
// Hopefully by this time, dma would have finished so that this is a
// no-op
if (tid_in_threadblock == 0) {
gemmini_fence();
}
threadblock_barrier(0 /*threadblock_id_in_cluster*/, threadblock_dim_y);
}
#pragma GCC unroll 2
for (int wm_iter = 0; wm_iter < WMITER; wm_iter++) {
#pragma GCC unroll 2
for (int wn_iter = 0; wn_iter < WNITER; wn_iter++) {
write_results(tid_in_warp, warp_col, warp_row, wn_iter, wm_iter,
dim_n, C, block_n, block_m);
}
}
}
}
}
void kernel_body(int task_id, kernel_arg_t *__UNIFORM__ arg) {
// @perf: All threads are running these compute whose result is mostly same
// across the threadblock
// const uint32_t threads_per_threadblock = (BM * BN) / (ELEM_PER_THREAD);
#ifdef RADIANCE
const uint32_t threads_per_threadblock =
CORES_PER_CLUSTER * vx_num_threads() * vx_num_warps();
const uint32_t threadblocks_per_core = CORES_PER_CLUSTER * vx_num_threads() *
vx_num_warps() /
threads_per_threadblock;
#else
const uint32_t threads_per_threadblock = vx_num_threads() * vx_num_warps();
const uint32_t threadblocks_per_core =
vx_num_threads() * vx_num_warps() / threads_per_threadblock;
#endif
const uint32_t threadblock_dim_x = vx_num_threads();
const uint32_t threadblock_dim_y = vx_num_warps() / threadblocks_per_core;
const int threadblock_id = task_id / threads_per_threadblock;
const int threadblock_id_in_cluster = threadblock_id % threadblocks_per_core;
const int tid_in_threadblock = task_id % threads_per_threadblock;
const uint32_t dim_m = arg->dim_m;
const uint32_t dim_n = arg->dim_n;
const uint32_t dim_n_in_blocks = dim_n / BN;
const int threadblock_id_x = threadblock_id % dim_n_in_blocks;
const int threadblock_id_y = threadblock_id / dim_n_in_blocks;
// "static" shared memory allocation. This would determine threadblock
// occupancy of a single cluster
float *sharedmem_per_threadblock =
(float *)DEV_SMEM_START_ADDR + (2 * BM * BK) * threadblock_id_in_cluster;
const int warp_id = vx_warp_id();
thread_block_gemm(arg, tid_in_threadblock, threads_per_threadblock,
threadblock_dim_y, /*threadblock_id_x,
threadblock_id_y,*/ /*threadblock_id_in_cluster, */
sharedmem_per_threadblock);
}
int main() {
kernel_arg_t *arg = (kernel_arg_t *)KERNEL_ARG_DEV_MEM_ADDR;
const uint32_t threads_per_cluster =
CORES_PER_CLUSTER * vx_num_threads() * vx_num_warps();
// const uint32_t grid_size = arg->dim_m * arg->dim_n / ELEM_PER_THREAD;
const uint32_t grid_size = threads_per_cluster;
#ifdef RADIANCE
vx_spawn_tasks_cluster(grid_size, (vx_spawn_tasks_cb)kernel_body, arg);
#else
// NOTE: This kernel assumes contiguous thread scheduling for efficient shared
// memory allocation, and therefore does not work with original vx_spawn_tasks
vx_spawn_tasks_contiguous(grid_size, (vx_spawn_tasks_cb)kernel_body, arg);
#endif
return 0;
}