Files
kernels/tests/regression/sgemm_wg/kernel.cpp
2024-02-27 15:44:04 -08:00

103 lines
4.3 KiB
C++

#include <stdint.h>
#include <vx_intrinsics.h>
#include <vx_spawn.h>
#include "common.h"
inline void thread_block_gemm(kernel_arg_t *__UNIFORM__ arg,
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,
const uint32_t threadblock_id_y,
const uint32_t threadblock_id_in_core,
float *sharedmem_per_threadblock) {
const float *global_a = (const float *)arg->addr_a;
const float *global_b = (const float *)arg->addr_b;
float *global_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;
// FIXME: assumes local block size is square shape
const uint32_t local_row = tid_in_threadblock_y;
const uint32_t local_col = tid_in_threadblock_x;
const uint32_t global_row = threadblock_id_y * threadblock_dim_y + local_row;
const uint32_t global_col = threadblock_id_x * threadblock_dim_x + local_col;
// each thread generates one output element
float reg_c = 0.0f;
for (uint32_t k = 0; k < dim_k; k += threadblock_dim_x) {
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 offset_global_a = dim_k * global_row + (k + local_col);
uint32_t offset_global_b = dim_n * (local_row + k) + global_col;
// FIXME: threadblocks size must be BM*BN, not BM*BK or BN*BK. This means
// there is a mismatch between the number of elements in the A/B tile and
// the C tile. This is handled by each thread computing multiple result
// elements.
//
// local_a: threadblock_dim_y rows, threadblock_dim_x cols
// local_b: threadblock_dim_x rows, threadblock_dim_y cols
// threadblock_dim_x == block_k, threadblock_dim_y == block_m == block_n
local_a[threadblock_dim_x * local_row + local_col] = global_a[offset_global_a];
local_b[threadblock_dim_y * local_col + local_row] = global_b[offset_global_b];
vx_barrier(threadblock_id_in_core, threadblock_dim_y);
vx_fence();
for (uint32_t local_k = 0; local_k < threadblock_dim_x; local_k++) {
reg_c += local_a[threadblock_dim_x * local_row + local_k] *
local_b[threadblock_dim_y * local_col + local_k];
}
vx_barrier(threadblock_id_in_core, threadblock_dim_y);
vx_fence();
}
global_c[dim_n * global_row + global_col] = reg_c;
}
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 dim_n = arg->dim_n;
int tid_x = task_id % dim_n;
int tid_y = task_id / dim_n;
const uint32_t threadblocks_per_core = 2;
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 uint32_t dim_n_in_blocks = dim_n / threadblock_dim_x;
const int threadblock_id_x = threadblock_id % dim_n_in_blocks;
const int threadblock_id_y = threadblock_id / dim_n_in_blocks;
const int tid_in_threadblock_x = vx_thread_id();
const int tid_in_threadblock_y = vx_warp_id() % threadblock_dim_y;
float *sharedmem_per_threadblock =
(float *)DEV_SMEM_START_ADDR +
(2 * threadblock_dim_x * threadblock_dim_y) * threadblock_id_in_core;
thread_block_gemm(arg, tid_in_threadblock_x, tid_in_threadblock_y,
threadblock_dim_x, threadblock_dim_y, threadblock_id_x,
threadblock_id_y, threadblock_id_in_core,
sharedmem_per_threadblock);
}
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;
vx_spawn_tasks(grid_size, (vx_spawn_tasks_cb)kernel_body, arg);
return 0;
}