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sgemm_wg: Constantify BM/BN/BK/TM, computationally set gridsize and TB/core

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This commit is contained in:
Hansung Kim
2024-02-27 22:23:25 -08:00
parent 27646bb507
commit 46f242e520
1 changed files with 21 additions and 30 deletions
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51
tests/regression/sgemm_wg/kernel.cpp
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@@ -3,12 +3,13 @@
#include <vx_spawn.h>
#include "common.h"
#define MAX_TM 4
#define BM 8
#define BN BM
#define BK 8
#define TM (BM/BK)
void thread_block_gemm(kernel_arg_t *__UNIFORM__ arg,
const uint32_t tid_in_threadblock,
const uint32_t tid_in_threadblock_x,
const uint32_t tid_in_threadblock_y,
const uint32_t threadblock_dim_x,
const uint32_t threadblock_dim_y,
const uint32_t threadblock_id_x,
@@ -19,6 +20,7 @@ void thread_block_gemm(kernel_arg_t *__UNIFORM__ arg,
const float *B = (const float *)arg->addr_b;
float *C = (float *)arg->addr_c;
// assumes NT == NW == matrix_dim
const uint32_t dim_m = arg->dim_m;
const uint32_t dim_n = arg->dim_n;
const uint32_t dim_k = arg->dim_k;
@@ -27,10 +29,9 @@ void thread_block_gemm(kernel_arg_t *__UNIFORM__ arg,
// const uint32_t BM = threadblock_dim_y;
// const uint32_t BN = threadblock_dim_y;
// const uint32_t BK = threadblock_dim_x;
constexpr uint32_t BM = 8;
constexpr uint32_t BN = 8;
constexpr uint32_t BK = 4;
constexpr uint32_t TM = 2;
// constexpr uint32_t BM = 8;
// constexpr uint32_t BN = 8;
// constexpr uint32_t BK = 2;
const uint32_t local_a_row = tid_in_threadblock / BK;
const uint32_t local_a_col = tid_in_threadblock % BK;
@@ -39,26 +40,21 @@ void thread_block_gemm(kernel_arg_t *__UNIFORM__ arg,
const uint32_t global_a_row = BM * threadblock_id_y + local_a_row;
const uint32_t global_b_col = BN * threadblock_id_x + local_b_col;
A += dim_k * BM * threadblock_id_y;
B += BN * threadblock_id_x;
C += dim_n * BM * threadblock_id_y + BN * threadblock_id_x;
// each thread generates one output element
float reg_c[MAX_TM] = { 0.0f };
float reg_c[TM] = { 0.0f };
for (uint32_t k = 0; k < dim_k; k += BK) {
float *local_a = sharedmem_per_threadblock;
size_t local_a_elems = threadblock_dim_x * threadblock_dim_y;
float *local_b = sharedmem_per_threadblock + local_a_elems;
uint32_t global_a_offset = dim_k * global_a_row + (k + local_a_col);
uint32_t global_b_offset = dim_n * (k + local_b_row) + global_b_col;
// NOTE: local_b is transposed to column-major to facilitate better memory
// access.
local_a[BK * local_a_row + local_a_col] = A[dim_k * local_a_row + local_a_col];
local_b[BN * local_b_row + local_b_col] = B[dim_n * local_b_row + local_b_col];
// Advance A and B block
A += BK;
B += dim_n * BK;
local_a[BK * local_a_row + local_a_col] = A[global_a_offset];
local_b[BN * local_b_row + local_b_col] = B[global_b_offset];
vx_barrier(threadblock_id_in_core, threadblock_dim_y);
vx_fence();
@@ -66,7 +62,7 @@ void thread_block_gemm(kernel_arg_t *__UNIFORM__ arg,
for (uint32_t local_k = 0; local_k < BK; local_k++) {
// Compute multiple result elements (TM) per thread
const float local_b_tmp = local_b[BN * local_k + local_b_col];
#pragma GCC unroll 1
#pragma GCC unroll 4
for (uint32_t result_idx = 0; result_idx < TM; result_idx++) {
reg_c[result_idx] +=
local_a[BK * (TM * local_b_row + result_idx) + local_k] *
@@ -78,9 +74,10 @@ void thread_block_gemm(kernel_arg_t *__UNIFORM__ arg,
vx_fence();
}
#pragma GCC unroll 1
#pragma GCC unroll 4
for (uint32_t result_idx = 0; result_idx < TM; result_idx++) {
C[dim_n * (TM * local_b_row + result_idx) + local_b_col] = reg_c[result_idx];
C[dim_n * (BM * threadblock_id_y + TM * local_b_row + result_idx) +
global_b_col] = reg_c[result_idx];
}
}
@@ -88,30 +85,24 @@ 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 threadblocks_per_core = 1;
const uint32_t threadblocks_per_core = vx_num_threads() * vx_num_warps() / (BM*BK);
const uint32_t threadblock_dim_x = vx_num_threads();
const uint32_t threadblock_dim_y = vx_num_warps() / threadblocks_per_core;
const uint32_t threads_per_threadblock = threadblock_dim_x * threadblock_dim_y;
const int threadblock_id = task_id / threads_per_threadblock;
const int threadblock_id_in_core = threadblock_id % threadblocks_per_core;
const int tid_in_threadblock = task_id % threads_per_threadblock;
const int tid_in_threadblock_x = vx_thread_id();
const int tid_in_threadblock_y = vx_warp_id() % threadblock_dim_y;
const uint32_t dim_m = arg->dim_m;
const uint32_t dim_n = arg->dim_n;
const uint32_t BN = 8;
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;
// const int threadblock_id_x = dim_n / threadblock_dim_x;
// const int threadblock_id_y = dim_m / threadblock_dim_y / 1;
float *sharedmem_per_threadblock =
(float *)DEV_SMEM_START_ADDR +
(2 * threads_per_threadblock) * threadblock_id_in_core;
thread_block_gemm(arg, tid_in_threadblock, tid_in_threadblock_x, tid_in_threadblock_y,
thread_block_gemm(arg, tid_in_threadblock,
threadblock_dim_x, threadblock_dim_y, threadblock_id_x,
threadblock_id_y, threadblock_id_in_core,
sharedmem_per_threadblock);
@@ -119,7 +110,7 @@ void kernel_body(int task_id, kernel_arg_t* __UNIFORM__ arg) {
int main() {
kernel_arg_t *arg = (kernel_arg_t *)KERNEL_ARG_DEV_MEM_ADDR;
const uint32_t grid_size = arg->dim_m * arg->dim_n / 2;
const uint32_t grid_size = arg->dim_m * arg->dim_n / TM;
vx_spawn_tasks(grid_size, (vx_spawn_tasks_cb)kernel_body, arg);
return 0;
}