Files
kernels/tests/regression/sgemm_tcore/kernel.cpp

151 lines
6.3 KiB
C++

#include <stdint.h>
#include <vx_intrinsics.h>
#include <vx_print.h>
#include <vx_spawn.h>
#include "common.h"
#include "sgemm_impl.hpp"
#include "include/gemmini.h"
#include "gemmini_mmio.h"
constexpr bool DEBUG = false;
template <uint32_t tile_dim_row, uint32_t tile_dim_col>
inline void thread_block_copy_tile(const float *src, float *dest,
const uint32_t tid_in_threadblock,
const uint32_t threads_per_threadblock,
const uint32_t threadblock_id_in_cluster) {
asm volatile("threadblock_copy_tile_start_%=:" ::);
const uint32_t tid_in_warp = tid_in_threadblock % NUM_THREADS;
const uint32_t warp_id = tid_in_threadblock / NUM_THREADS;
const uint32_t warps_in_threadblock = threads_per_threadblock / NUM_THREADS;
const uint32_t warps_per_threadblock_per_core =
warps_in_threadblock / CORES_PER_CLUSTER;
#pragma GCC unroll 1
for (int row_offset = 0; row_offset < tile_dim_row;
row_offset += warps_in_threadblock) {
const uint32_t row = row_offset + warp_id;
const uint32_t first_thread_offset = tile_dim_col * row;
constexpr uint32_t per_row_iter = tile_dim_col / NUM_THREADS;
uint32_t thread_offset = first_thread_offset + tid_in_warp;
#pragma GCC unroll
for (int i = 0; i < per_row_iter; i++) {
dest[thread_offset] = src[thread_offset];
thread_offset += NUM_THREADS;
}
threadblock_barrier(threadblock_id_in_cluster,
warps_per_threadblock_per_core);
}
asm volatile("threadblock_copy_tile_finish_%=:" ::);
}
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
#ifdef RADIANCE
constexpr uint32_t cores_per_cluster = CORES_PER_CLUSTER;
#else
constexpr uint32_t cores_per_cluster = 1;
#endif
constexpr uint32_t threads_per_threadblock_theoretical =
(BM * BN) / (ELEM_PER_THREAD);
constexpr uint32_t hw_threads_per_cluster =
CORES_PER_CLUSTER * NUM_THREADS * NUM_WARPS;
// cap maximum threadblock size to # of HW threads in cluster, to prevent
// multiple "wave" invocations which slows down the kernel
constexpr uint32_t threads_per_threadblock =
(threads_per_threadblock_theoretical > hw_threads_per_cluster)
? hw_threads_per_cluster
: threads_per_threadblock_theoretical;
constexpr uint32_t threadblocks_per_cluster =
hw_threads_per_cluster / threads_per_threadblock;
constexpr uint32_t warps_per_threadblock_per_core =
NUM_WARPS / threadblocks_per_cluster;
const int threadblock_id = task_id / threads_per_threadblock;
const int threadblock_id_in_cluster =
threadblock_id % threadblocks_per_cluster;
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;
const uint32_t problem_size = (dim_m * dim_n) / (ELEM_PER_THREAD);
const uint32_t num_threadblocks = problem_size / threads_per_threadblock;
// "static" shared memory allocation. This would determine threadblock
// occupancy of a single cluster
uint8_t *sharedmem_per_threadblock = reinterpret_cast<uint8_t *>(
DEV_SMEM_START_ADDR +
sizeof(float_type) * 2 * (2 * BM * BK) * threadblock_id_in_cluster);
thread_block_gemm<float_type, threads_per_threadblock,
/*write_to_gmem=*/true,
/*smem_a_offset=*/0,
#ifdef GEMMINI_DMA
/*smem_a_dbuf_offset=*/1 * 128 * 128 * sizeof(float_type),
/*smem_b_offset=*/2 * 128 * 128 * sizeof(float_type),
/*smem_b_dbuf_offset=*/3 * 128 * 128 * sizeof(float_type)
// FIXME: above offsets are hardcoded to agree with CISC
// spadQuartile
#else
/*smem_a_dbuf_offset=*/1 * BM * BK * sizeof(float_type),
/*smem_b_offset=*/2 * BM * BK * sizeof(float_type),
/*smem_b_dbuf_offset=*/(2 * BM * BK + BK * BN) * sizeof(float_type)
#endif
>((const float_type *)arg->addr_a,
(const float_type *)arg->addr_b, (float *)arg->addr_c,
arg->dim_m, arg->dim_n, arg->dim_k, tid_in_threadblock,
threadblocks_per_cluster, threadblock_id_in_cluster,
sharedmem_per_threadblock);
float *gmem_tmp_d0 = reinterpret_cast<float *>(0xd0000000UL);
float *gmem_tmp_d1 = reinterpret_cast<float *>(0xd1000000UL);
const float *smem_A = reinterpret_cast<float *>(sharedmem_per_threadblock);
const float *smem_B = reinterpret_cast<float *>(
sharedmem_per_threadblock + 2 * BM * BK * sizeof(float_type));
if constexpr (DEBUG) {
threadblock_barrier(threadblock_id_in_cluster,
warps_per_threadblock_per_core);
thread_block_copy_tile<BM, BK>(smem_A, gmem_tmp_d0, tid_in_threadblock,
threads_per_threadblock,
threadblock_id_in_cluster);
thread_block_copy_tile<BK, BN>(smem_B, gmem_tmp_d1, tid_in_threadblock,
threads_per_threadblock,
threadblock_id_in_cluster);
}
}
int main() {
kernel_arg_t *arg = (kernel_arg_t *)KERNEL_ARG_DEV_MEM_ADDR;
const uint32_t problem_size = (arg->dim_m * arg->dim_n) / (ELEM_PER_THREAD);
const uint32_t hw_threads_per_cluster =
CORES_PER_CLUSTER * vx_num_threads() * vx_num_warps();
// prevent launching more threads than the necessary problem size
// TODO: this does not take into account multiple clusters
const uint32_t grid_size = (problem_size > hw_threads_per_cluster)
? hw_threads_per_cluster
: problem_size;
#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;
}