/* * Copyright (c) 2019-2020, NVIDIA CORPORATION. All rights reserved. * * NVIDIA CORPORATION and its licensors retain all intellectual property * and proprietary rights in and to this software, related documentation * and any modifications thereto. Any use, reproduction, disclosure or * distribution of this software and related documentation without an express * license agreement from NVIDIA CORPORATION is strictly prohibited. * * See COPYRIGHT.txt for license information */ #define CUMODULE_NAME "fcollect_latency.cubin" #include "coll_test.h" #define DATATYPE int64_t #if defined __cplusplus || defined NVSHMEM_BITCODE_APPLICATION extern "C" { #endif #define CALL_FCOLLECT(TYPENAME, TYPE, TG_PRE, THREADGROUP, THREAD_COMP, ELEM_COMP) \ __global__ void test_##TYPENAME##_fcollect_call_kern##THREADGROUP( \ nvshmem_team_t team, TYPE *dest, const TYPE *source, int nelems, int mype, int iter) { \ int i; \ \ if (!blockIdx.x && (threadIdx.x < THREAD_COMP) && (nelems < ELEM_COMP)) { \ for (i = 0; i < iter; i++) { \ nvshmem##TG_PRE##_##TYPENAME##_fcollect##THREADGROUP(team, dest, source, nelems); \ } \ } \ } \ void test_##TYPENAME##_fcollect_call_kern##THREADGROUP##_cubin( \ int num_blocks, int num_tpb, cudaStream_t stream, void **arglist) { \ CUfunction test_cubin; \ \ init_test_case_kernel( \ &test_cubin, \ NVSHMEMI_TEST_STRINGIFY(test_##TYPENAME##_fcollect_call_kern##THREADGROUP)); \ CU_CHECK(cuLaunchCooperativeKernel(test_cubin, num_blocks, 1, 1, num_tpb, 1, 1, 0, stream, \ arglist)); \ } #define CALL_FCOLLECT_KERNEL(TYPENAME, THREADGROUP, BLOCKS, THREADS, ARG_LIST, STREAM) \ if (use_cubin) { \ test_##TYPENAME##_fcollect_call_kern##THREADGROUP##_cubin(BLOCKS, THREADS, STREAM, \ ARG_LIST); \ } else { \ status = nvshmemx_collective_launch( \ (const void *)test_##TYPENAME##_fcollect_call_kern##THREADGROUP, BLOCKS, THREADS, \ ARG_LIST, 0, STREAM); \ if (status != NVSHMEMX_SUCCESS) { \ fprintf(stderr, "shmemx_collective_launch failed %d \n", status); \ exit(-1); \ } \ } CALL_FCOLLECT(int32, int32_t, , , 1, 512); CALL_FCOLLECT(int64, int64_t, , , 1, 512); CALL_FCOLLECT(int32, int32_t, x, _warp, warpSize, 4096); CALL_FCOLLECT(int64, int64_t, x, _warp, warpSize, 4096); CALL_FCOLLECT(int32, int32_t, x, _block, INT_MAX, INT_MAX); CALL_FCOLLECT(int64, int64_t, x, _block, INT_MAX, INT_MAX); #if defined __cplusplus || defined NVSHMEM_BITCODE_APPLICATION } #endif int fcollect_calling_kernel(nvshmem_team_t team, void *dest, const void *source, int mype, cudaStream_t stream, void **h_tables) { int status = 0; int nvshm_test_num_tpb = threads_per_block; int num_blocks = 1; size_t num_elems = 1, min_elems, max_elems; int npes = nvshmem_n_pes(); int i; int skip = warmup_iters; int iter = iters; uint64_t *h_size_array = (uint64_t *)h_tables[0]; double *h_thread_lat = (double *)h_tables[1]; double *h_warp_lat = (double *)h_tables[2]; double *h_block_lat = (double *)h_tables[3]; float milliseconds; void *args_1[] = {&team, &dest, &source, &num_elems, &mype, &skip}; void *args_2[] = {&team, &dest, &source, &num_elems, &mype, &iter}; cudaEvent_t start, stop; cudaEventCreate(&start); cudaEventCreate(&stop); nvshmem_barrier_all(); min_elems = max(static_cast(1), min_size / (npes * sizeof(int32_t))); max_elems = max(static_cast(1), max_size / (npes * sizeof(int32_t))); i = 0; for (num_elems = min_elems; num_elems < 512; num_elems *= step_factor) { CALL_FCOLLECT_KERNEL(int32, , num_blocks, nvshm_test_num_tpb, args_1, stream); CUDA_CHECK(cudaStreamSynchronize(stream)); nvshmem_barrier_all(); cudaEventRecord(start, stream); CALL_FCOLLECT_KERNEL(int32, , num_blocks, nvshm_test_num_tpb, args_2, stream); cudaEventRecord(stop, stream); CUDA_CHECK(cudaStreamSynchronize(stream)); if (!mype) { cudaEventElapsedTime(&milliseconds, start, stop); h_thread_lat[i] = (milliseconds * 1000.0) / (float)iter; } i++; nvshmem_barrier_all(); } i = 0; for (num_elems = min_elems; num_elems < 4096; num_elems *= step_factor) { CALL_FCOLLECT_KERNEL(int32, _warp, num_blocks, nvshm_test_num_tpb, args_1, stream); CUDA_CHECK(cudaStreamSynchronize(stream)); nvshmem_barrier_all(); cudaEventRecord(start, stream); CALL_FCOLLECT_KERNEL(int32, _warp, num_blocks, nvshm_test_num_tpb, args_2, stream); cudaEventRecord(stop, stream); CUDA_CHECK(cudaStreamSynchronize(stream)); if (!mype) { cudaEventElapsedTime(&milliseconds, start, stop); h_warp_lat[i] = (milliseconds * 1000.0) / (float)iter; } i++; nvshmem_barrier_all(); } i = 0; for (num_elems = 1; num_elems <= max_elems; num_elems *= step_factor) { h_size_array[i] = num_elems * 4; CALL_FCOLLECT_KERNEL(int32, _block, num_blocks, nvshm_test_num_tpb, args_1, stream); CUDA_CHECK(cudaStreamSynchronize(stream)); nvshmem_barrier_all(); cudaEventRecord(start, stream); CALL_FCOLLECT_KERNEL(int32, _block, num_blocks, nvshm_test_num_tpb, args_2, stream); cudaEventRecord(stop, stream); CUDA_CHECK(cudaStreamSynchronize(stream)); if (!mype) { cudaEventElapsedTime(&milliseconds, start, stop); h_block_lat[i] = (milliseconds * 1000.0) / (float)iter; } i++; nvshmem_barrier_all(); } if (!mype) { print_table_v1("fcollect_device", "32-bit-thread", "size (Bytes)", "latency", "us", '-', h_size_array, h_thread_lat, i); print_table_v1("fcollect_device", "32-bit-warp", "size (Bytes)", "latency", "us", '-', h_size_array, h_warp_lat, i); print_table_v1("fcollect_device", "32-bit-block", "size (Bytes)", "latency", "us", '-', h_size_array, h_block_lat, i); } min_elems = max(static_cast(1), min_size / (npes * sizeof(int64_t))); max_elems = max(static_cast(1), max_size / (npes * sizeof(int64_t))); i = 0; for (num_elems = 1; num_elems < 512; num_elems *= step_factor) { CALL_FCOLLECT_KERNEL(int64, , num_blocks, nvshm_test_num_tpb, args_1, stream); CUDA_CHECK(cudaStreamSynchronize(stream)); nvshmem_barrier_all(); cudaEventRecord(start, stream); CALL_FCOLLECT_KERNEL(int64, , num_blocks, nvshm_test_num_tpb, args_2, stream); cudaEventRecord(stop, stream); CUDA_CHECK(cudaStreamSynchronize(stream)); if (!mype) { cudaEventElapsedTime(&milliseconds, start, stop); h_thread_lat[i] = (milliseconds * 1000.0) / (float)iter; } i++; nvshmem_barrier_all(); } i = 0; for (num_elems = 1; num_elems < 4096; num_elems *= step_factor) { CALL_FCOLLECT_KERNEL(int64, _warp, num_blocks, nvshm_test_num_tpb, args_1, stream); CUDA_CHECK(cudaStreamSynchronize(stream)); nvshmem_barrier_all(); cudaEventRecord(start, stream); CALL_FCOLLECT_KERNEL(int64, _warp, num_blocks, nvshm_test_num_tpb, args_2, stream); cudaEventRecord(stop, stream); CUDA_CHECK(cudaStreamSynchronize(stream)); if (!mype) { cudaEventElapsedTime(&milliseconds, start, stop); h_warp_lat[i] = (milliseconds * 1000.0) / (float)iter; } i++; nvshmem_barrier_all(); } i = 0; for (num_elems = 1; num_elems < max_elems; num_elems *= step_factor) { h_size_array[i] = num_elems * 8; CALL_FCOLLECT_KERNEL(int64, _block, num_blocks, nvshm_test_num_tpb, args_1, stream); CUDA_CHECK(cudaStreamSynchronize(stream)); nvshmem_barrier_all(); cudaEventRecord(start, stream); CALL_FCOLLECT_KERNEL(int64, _block, num_blocks, nvshm_test_num_tpb, args_2, stream); cudaEventRecord(stop, stream); CUDA_CHECK(cudaStreamSynchronize(stream)); if (!mype) { cudaEventElapsedTime(&milliseconds, start, stop); h_block_lat[i] = (milliseconds * 1000.0) / (float)iter; } i++; nvshmem_barrier_all(); } if (!mype) { print_table_v1("fcollect_device", "64-bit-thread", "size (Bytes)", "latency", "us", '-', h_size_array, h_thread_lat, i); print_table_v1("fcollect_device", "64-bit-warp", "size (Bytes)", "latency", "us", '-', h_size_array, h_warp_lat, i); print_table_v1("fcollect_device", "64-bit-block", "size (Bytes)", "latency", "us", '-', h_size_array, h_block_lat, i); } return status; } int main(int argc, char **argv) { int status = 0; int mype, array_size; read_args(argc, argv); size_t size = max_size * 2; DATATYPE *h_buffer = NULL; DATATYPE *d_buffer = NULL; DATATYPE *d_source, *d_dest; DATATYPE *h_source, *h_dest; char size_string[100]; cudaStream_t cstrm; void **h_tables; array_size = max_size_log; DEBUG_PRINT("symmetric size %lu\n", size); sprintf(size_string, "%lu", size); status = setenv("NVSHMEM_SYMMETRIC_SIZE", size_string, 1); if (status) { fprintf(stderr, "setenv failed \n"); status = -1; goto out; } init_wrapper(&argc, &argv); alloc_tables(&h_tables, 4, array_size); if (use_cubin) { init_cumodule(CUMODULE_NAME); } mype = nvshmem_my_pe(); CUDA_CHECK(cudaStreamCreateWithFlags(&cstrm, cudaStreamNonBlocking)); CUDA_CHECK(cudaHostAlloc(&h_buffer, max_size * 2, cudaHostAllocDefault)); h_source = (DATATYPE *)h_buffer; h_dest = (DATATYPE *)&h_source[max_size / sizeof(DATATYPE)]; d_buffer = (DATATYPE *)nvshmem_malloc(max_size * 2); if (!d_buffer) { fprintf(stderr, "nvshmem_malloc failed \n"); status = -1; goto out; } d_source = (DATATYPE *)d_buffer; d_dest = (DATATYPE *)&d_source[max_size / sizeof(DATATYPE)]; CUDA_CHECK(cudaMemcpyAsync(d_source, h_source, max_size, cudaMemcpyHostToDevice, cstrm)); CUDA_CHECK(cudaMemcpyAsync(d_dest, h_dest, max_size, cudaMemcpyHostToDevice, cstrm)); fcollect_calling_kernel(NVSHMEM_TEAM_WORLD, (void *)d_dest, (void *)d_source, mype, cstrm, h_tables); CUDA_CHECK(cudaMemcpyAsync(h_source, d_source, max_size, cudaMemcpyDeviceToHost, cstrm)); CUDA_CHECK(cudaMemcpyAsync(h_dest, d_dest, max_size, cudaMemcpyDeviceToHost, cstrm)); nvshmem_barrier_all(); CUDA_CHECK(cudaFreeHost(h_buffer)); nvshmem_free(d_buffer); CUDA_CHECK(cudaStreamDestroy(cstrm)); free_tables(h_tables, 4); finalize_wrapper(); out: return 0; }