#include #include #include #include #include "common.h" #include "sgemm_impl.hpp" #include "include/gemmini.h" #include "gemmini_mmio.h" // using float_type = float; using float_type = float16_t; inline void thread_block_flashattn(float *S, float *gmem, const uint32_t tid_in_threadblock, const uint32_t threads_per_threadblock, const uint32_t threadblock_id_in_cluster, uint8_t *sharedmem_per_threadblock) { asm volatile("thread_block_flashattn_start_%=:" ::); constexpr uint32_t Brow = BM; // FIXME constexpr uint32_t Bcol = BN; // FIXME 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 = NUM_WARPS / threads_per_threadblock; // float ft[8]; // asm volatile("fmv.s %0, f16" : "=f"(ft[0])); // asm volatile("fmv.s %0, f17" : "=f"(ft[1])); // asm volatile("fmv.s %0, f18" : "=f"(ft[2])); // asm volatile("fmv.s %0, f19" : "=f"(ft[3])); // asm volatile("fmv.s %0, f20" : "=f"(ft[4])); // asm volatile("fmv.s %0, f21" : "=f"(ft[5])); // asm volatile("fmv.s %0, f22" : "=f"(ft[6])); // asm volatile("fmv.s %0, f23" : "=f"(ft[7])); // // one warp handles one row in tile; iterate enough times to cover all the // rows for (int warp_offset = 0; warp_offset < Brow; warp_offset += warps_in_threadblock) { const uint32_t row = warp_offset + warp_id; const uint32_t first_thread_offset = Bcol * row; uint32_t thread_offset = first_thread_offset + tid_in_warp; float curr_max = S[first_thread_offset]; constexpr uint32_t load_iter = Bcol / NUM_THREADS; #pragma GCC unroll for (int iter = 0; iter < load_iter; iter++) { asm volatile("fmax.s %0, %1, %2" : "=f"(curr_max) : "f"(curr_max), "f"(S[thread_offset])); thread_offset += NUM_THREADS; } // get max value across the same-warp threads using smem float *warp_smem = S + (2 * Brow * Bcol) + (row * NUM_THREADS); warp_smem[tid_in_warp] = curr_max; // sync writes to warp_smem threadblock_barrier(threadblock_id_in_cluster, warps_per_threadblock_per_core); // 0-th thread collects all other thread's values in the warp if (tid_in_warp == 0) { for (int iter = 1; iter < NUM_THREADS; iter++) { float other = warp_smem[iter]; asm volatile("fmax.s %0, %1, %2" : "=f"(curr_max) : "f"(curr_max), "f"(other)); } gmem[row] = curr_max; } } asm volatile("thread_block_flashattn_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 uint32_t threads_per_threadblock = (BM * BN) / (ELEM_PER_THREAD); const uint32_t hw_threads_per_cluster = cores_per_cluster * vx_num_threads() * vx_num_warps(); // cap maximum threadblock size to # of HW threads in cluster, to prevent // multiple "wave" invocations which slows down the kernel if (threads_per_threadblock > hw_threads_per_cluster) { threads_per_threadblock = hw_threads_per_cluster; } const uint32_t threadblocks_per_cluster = hw_threads_per_cluster / threads_per_threadblock; 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( DEV_SMEM_START_ADDR + sizeof(float_type) * 2 /*overkill for non-dma*/ * (2 * BM * BK) * threadblock_id_in_cluster); uint8_t *smem_S = sharedmem_per_threadblock; thread_block_gemm( (const float_type *)arg->addr_a, (const float_type *)arg->addr_b, (float *)smem_S /*write result to SMEM */, arg->dim_m, arg->dim_n, arg->dim_k, tid_in_threadblock, threads_per_threadblock, threadblocks_per_cluster, threadblock_id_in_cluster, sharedmem_per_threadblock); // sync writes of GEMM results before softmax const uint32_t warps_per_threadblock_per_core = NUM_WARPS / threads_per_threadblock; threadblock_barrier(threadblock_id_in_cluster, warps_per_threadblock_per_core); thread_block_flashattn((float *)smem_S, (float *)arg->addr_c, tid_in_threadblock, threads_per_threadblock, threadblock_id_in_cluster, sharedmem_per_threadblock); } 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; }