232 lines
7.2 KiB
C++
232 lines
7.2 KiB
C++
#define RISCV_CUSTOM3 0x7B
|
|
|
|
#include <vx_spawn.h>
|
|
#include <vx_intrinsics.h>
|
|
#include <stdio.h>
|
|
#include <vx_print.h>
|
|
|
|
constexpr int DIM_M = 8;
|
|
constexpr int DIM_N = 8;
|
|
constexpr int DIM_K = 8;
|
|
|
|
// #include "test_data.h"
|
|
const float *A = reinterpret_cast<const float *>(0xa0000000UL);
|
|
const float *B = reinterpret_cast<const float *>(0xa1000000UL);
|
|
// FIXME: C region is uninitialized
|
|
const float *C = reinterpret_cast<const float *>(0xa2000000UL);
|
|
|
|
// single "substep" wmma instruction
|
|
// use accum buffer 0 (f16-f23)
|
|
inline void vx_wmma_acc0() {
|
|
asm volatile (".insn r %0, 0, 0, x0, x0, x0" :: "i"(RISCV_CUSTOM3));
|
|
}
|
|
|
|
// single "substep" wmma instruction
|
|
// use accum buffer 1 (f24-f31)
|
|
inline void vx_wmma_acc1() {
|
|
asm volatile (".insn r %0, 0, 0, x1, x0, x0" :: "i"(RISCV_CUSTOM3));
|
|
}
|
|
|
|
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_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;
|
|
}
|
|
|
|
void vx_wmma_load() {
|
|
int tid = vx_thread_id();
|
|
int tg = tid / 4;
|
|
|
|
int row = 0;
|
|
int col = 0;
|
|
|
|
map_operand_8lanes(tid, row, col);
|
|
|
|
// load A
|
|
// A is stored row-major in the memory,
|
|
// loaded row-major into the RF.
|
|
//
|
|
// For 32 lanes config, each operand element is read twice by two
|
|
// threadgroups (Sec. III-B); i.e. 8 regs * 32 lanes = 256 fp32 elements = 2
|
|
// * (16 * 8) elements
|
|
asm volatile("flw f0, %0" ::"m"(A[DIM_K * row + 0]));
|
|
asm volatile("flw f1, %0" ::"m"(A[DIM_K * row + 1]));
|
|
asm volatile("flw f2, %0" ::"m"(A[DIM_K * row + 2]));
|
|
asm volatile("flw f3, %0" ::"m"(A[DIM_K * row + 3]));
|
|
asm volatile("flw f4, %0" ::"m"(A[DIM_K * row + 4]));
|
|
asm volatile("flw f5, %0" ::"m"(A[DIM_K * row + 5]));
|
|
asm volatile("flw f6, %0" ::"m"(A[DIM_K * row + 6]));
|
|
asm volatile("flw f7, %0" ::"m"(A[DIM_K * row + 7]));
|
|
|
|
// load B
|
|
// B is stored row-major in the memory,
|
|
// loaded column-major into the RF.
|
|
asm volatile("flw f8 , %0" ::"m"(B[DIM_N * 0 + col]));
|
|
asm volatile("flw f9 , %0" ::"m"(B[DIM_N * 1 + col]));
|
|
asm volatile("flw f10, %0" ::"m"(B[DIM_N * 2 + col]));
|
|
asm volatile("flw f11, %0" ::"m"(B[DIM_N * 3 + col]));
|
|
asm volatile("flw f12, %0" ::"m"(B[DIM_N * 4 + col]));
|
|
asm volatile("flw f13, %0" ::"m"(B[DIM_N * 5 + col]));
|
|
asm volatile("flw f14, %0" ::"m"(B[DIM_N * 6 + col]));
|
|
asm volatile("flw f15, %0" ::"m"(B[DIM_N * 7 + col]));
|
|
|
|
map_c_8lanes(tid, row, col);
|
|
|
|
// load C
|
|
// accum buffer 0
|
|
asm volatile("flw f16, %0" ::"m"(C[DIM_N * (row + 0) + col + 0]));
|
|
asm volatile("flw f17, %0" ::"m"(C[DIM_N * (row + 0) + col + 1]));
|
|
asm volatile("flw f18, %0" ::"m"(C[DIM_N * (row + 2) + col + 0]));
|
|
asm volatile("flw f19, %0" ::"m"(C[DIM_N * (row + 2) + col + 1]));
|
|
asm volatile("flw f20, %0" ::"m"(C[DIM_N * (row + 0) + col + 4]));
|
|
asm volatile("flw f21, %0" ::"m"(C[DIM_N * (row + 0) + col + 5]));
|
|
asm volatile("flw f22, %0" ::"m"(C[DIM_N * (row + 2) + col + 4]));
|
|
asm volatile("flw f23, %0" ::"m"(C[DIM_N * (row + 2) + col + 5]));
|
|
// accum buffer 1
|
|
asm volatile("flw f24, %0" ::"m"(C[DIM_N * (row + 0) + col + 0]));
|
|
asm volatile("flw f25, %0" ::"m"(C[DIM_N * (row + 0) + col + 1]));
|
|
asm volatile("flw f26, %0" ::"m"(C[DIM_N * (row + 2) + col + 0]));
|
|
asm volatile("flw f27, %0" ::"m"(C[DIM_N * (row + 2) + col + 1]));
|
|
asm volatile("flw f28, %0" ::"m"(C[DIM_N * (row + 0) + col + 4]));
|
|
asm volatile("flw f29, %0" ::"m"(C[DIM_N * (row + 0) + col + 5]));
|
|
asm volatile("flw f30, %0" ::"m"(C[DIM_N * (row + 2) + col + 4]));
|
|
asm volatile("flw f31, %0" ::"m"(C[DIM_N * (row + 2) + col + 5]));
|
|
}
|
|
|
|
// hardcoded device address for result
|
|
float *const results = reinterpret_cast<float *>(0xc0000000UL);
|
|
|
|
void store_wmma_result() {
|
|
int wid = vx_warp_id();
|
|
int tid = vx_thread_id();
|
|
int tg = tid / 4;
|
|
|
|
int row = 0;
|
|
int col = 0;
|
|
|
|
map_c_8lanes(tid, row, col);
|
|
|
|
// store C
|
|
float *const results_wid = results + (DIM_M * DIM_M * wid);
|
|
// uncomment to have two accum buffers in rf
|
|
// asm volatile("fsw f16, %0" ::"m"(results_wid[DIM_M * (row + 0) + (col + 0)]));
|
|
// asm volatile("fsw f17, %0" ::"m"(results_wid[DIM_M * (row + 0) + (col + 1)]));
|
|
// asm volatile("fsw f18, %0" ::"m"(results_wid[DIM_M * (row + 2) + (col + 0)]));
|
|
// asm volatile("fsw f19, %0" ::"m"(results_wid[DIM_M * (row + 2) + (col + 1)]));
|
|
// asm volatile("fsw f20, %0" ::"m"(results_wid[DIM_M * (row + 0) + (col + 4)]));
|
|
// asm volatile("fsw f21, %0" ::"m"(results_wid[DIM_M * (row + 0) + (col + 5)]));
|
|
// asm volatile("fsw f22, %0" ::"m"(results_wid[DIM_M * (row + 2) + (col + 4)]));
|
|
// asm volatile("fsw f23, %0" ::"m"(results_wid[DIM_M * (row + 2) + (col + 5)]));
|
|
asm volatile("fsw f24, %0" ::"m"(results_wid[DIM_M * (row + 0) + (col + 0)]));
|
|
asm volatile("fsw f25, %0" ::"m"(results_wid[DIM_M * (row + 0) + (col + 1)]));
|
|
asm volatile("fsw f26, %0" ::"m"(results_wid[DIM_M * (row + 2) + (col + 0)]));
|
|
asm volatile("fsw f27, %0" ::"m"(results_wid[DIM_M * (row + 2) + (col + 1)]));
|
|
asm volatile("fsw f28, %0" ::"m"(results_wid[DIM_M * (row + 0) + (col + 4)]));
|
|
asm volatile("fsw f29, %0" ::"m"(results_wid[DIM_M * (row + 0) + (col + 5)]));
|
|
asm volatile("fsw f30, %0" ::"m"(results_wid[DIM_M * (row + 2) + (col + 4)]));
|
|
asm volatile("fsw f31, %0" ::"m"(results_wid[DIM_M * (row + 2) + (col + 5)]));
|
|
}
|
|
|
|
void print_wmma_result() {
|
|
const int num_threads = vx_num_threads();
|
|
|
|
for (int tid = 0; tid < num_threads; tid += 1) {
|
|
for (int reg = 0; reg < 8; reg += 1) {
|
|
vx_printf("thread %d, f%d: %x\n", tid, 16 + reg,
|
|
*((int *)&results[tid * 8 + reg]));
|
|
}
|
|
}
|
|
}
|
|
|
|
void wmma() {
|
|
vx_tmc(-1);
|
|
|
|
// if (vx_warp_id() == 1) {
|
|
// for (int i = 0; i < 100; i++) {
|
|
// asm volatile ("nop");
|
|
// }
|
|
// }
|
|
|
|
vx_wmma_load();
|
|
// #pragma GCC unroll 100
|
|
// for (int i = 0; i < 100; i++) {
|
|
// vx_wmma_acc0();
|
|
// }
|
|
vx_wmma_acc1();
|
|
|
|
store_wmma_result();
|
|
// print_wmma_result();
|
|
vx_tmc(1);
|
|
}
|
|
|
|
int main() {
|
|
const int num_warps = vx_num_warps();
|
|
|
|
// vx_wspawn(num_warps, wmma);
|
|
wmma();
|
|
// vx_wspawn_wait();
|
|
|
|
return 0;
|
|
}
|