/* * Copyright (c) 2018-2020, 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 */ #include #include #include #include #include #include "utils.h" #define UNROLL 2 template __device__ inline void call_nvshmem_p(T *rptr, T val, int peer) { switch (sizeof(T)) { case 1: nvshmem_uint8_p((uint8_t *)rptr, val, peer); break; case 2: nvshmem_uint16_p((uint16_t *)rptr, val, peer); break; case 4: nvshmem_uint32_p((uint32_t *)rptr, val, peer); break; case 8: nvshmem_double_p((double *)rptr, val, peer); break; default: assert(0); } } template __global__ void bw(T *data_d, volatile unsigned int *counter_d, int len, int pe, int iter, int stride) { int u, i, j, peer, tid, slice; unsigned int counter; int threads = gridDim.x * blockDim.x; tid = blockIdx.x * blockDim.x + threadIdx.x; peer = !pe; slice = UNROLL * threads * stride; // When stride > 1, each iteration sends less than len elements. // We increase the number of iterations to make up for that. for (i = 0; i < iter * stride; i++) { for (j = 0; j < len - slice; j += slice) { for (u = 0; u < UNROLL; ++u) { int idx = j + u * threads + tid * stride; call_nvshmem_p(data_d + idx, *(data_d + idx), peer); } __syncthreads(); } for (u = 0; u < UNROLL; ++u) { int idx = j + u * threads + tid * stride; if (idx >= 0 && idx < len) call_nvshmem_p(data_d + idx, *(data_d + idx), peer); } // synchronizing across blocks __syncthreads(); if (!threadIdx.x) { __threadfence(); counter = atomicInc((unsigned int *)counter_d, UINT_MAX); if (counter == (gridDim.x * (i + 1) - 1)) { *(counter_d + 1) += 1; } while (*(counter_d + 1) != i + 1) ; } __syncthreads(); } // synchronizing across blocks __syncthreads(); if (!threadIdx.x) { __threadfence(); counter = atomicInc((unsigned int *)counter_d, UINT_MAX); if (counter == (gridDim.x * (i + 1) - 1)) { nvshmem_quiet(); *(counter_d + 1) += 1; } while (*(counter_d + 1) != i + 1) ; } } void call_bw(int blocks, int threads, void *data_d, unsigned int *counter_d, size_t size, int element_size, int mype, int iter, int stride) { switch (element_size) { case 1: bw<<>>((uint8_t *)data_d, counter_d, size / sizeof(uint8_t), mype, iter, stride); break; case 2: bw<<>>((uint16_t *)data_d, counter_d, size / sizeof(uint16_t), mype, iter, stride); break; case 4: bw<<>>((uint32_t *)data_d, counter_d, size / sizeof(uint32_t), mype, iter, stride); break; case 8: bw<<>>((double *)data_d, counter_d, size / sizeof(double), mype, iter, stride); break; default: fprintf(stderr, "element_size=%d is not supported \n", element_size); exit(-EINVAL); } } int main(int argc, char *argv[]) { int mype, npes; void *data_d = NULL; unsigned int *counter_d; read_args(argc, argv); int array_size, i; void **h_tables; uint64_t *h_size_arr; double *h_bw; double *h_msgrate; bool report_msgrate = false; int iter = iters; int skip = warmup_iters; int element_size = datatype.size; float milliseconds; cudaEvent_t start, stop; init_wrapper(&argc, &argv); cudaEventCreate(&start); cudaEventCreate(&stop); mype = nvshmem_my_pe(); npes = nvshmem_n_pes(); if (npes != 2) { fprintf(stderr, "This test requires exactly two processes \n"); goto finalize; } array_size = max_size_log; alloc_tables(&h_tables, 3, array_size); h_size_arr = (uint64_t *)h_tables[0]; h_bw = (double *)h_tables[1]; h_msgrate = (double *)h_tables[2]; data_d = (void *)nvshmem_malloc(max_size); CUDA_CHECK(cudaMemset(data_d, 0, max_size)); CUDA_CHECK(cudaMalloc((void **)&counter_d, sizeof(unsigned int) * 2)); CUDA_CHECK(cudaMemset(counter_d, 0, sizeof(unsigned int) * 2)); CUDA_CHECK(cudaDeviceSynchronize()); size_t size; i = 0; if (mype == 0) { for (size = min_size; size <= max_size; size *= step_factor) { int blocks = num_blocks, threads = threads_per_block; h_size_arr[i] = size; CUDA_CHECK(cudaMemset(counter_d, 0, sizeof(unsigned int) * 2)); call_bw(blocks, threads, data_d, counter_d, size, element_size, mype, skip, stride); CUDA_CHECK(cudaDeviceSynchronize()); CUDA_CHECK(cudaMemset(counter_d, 0, sizeof(unsigned int) * 2)); cudaEventRecord(start); call_bw(blocks, threads, data_d, counter_d, size, element_size, mype, iter, stride); cudaEventRecord(stop); CUDA_CHECK(cudaGetLastError()); CUDA_CHECK(cudaEventSynchronize(stop)); cudaEventElapsedTime(&milliseconds, start, stop); h_bw[i] = size / (milliseconds * (B_TO_GB / (iter * MS_TO_S))); h_msgrate[i] = (double)(size / element_size) * iter / (milliseconds * MS_TO_S); nvshmem_barrier_all(); i++; } } else { for (size = min_size; size <= max_size; size *= step_factor) { nvshmem_barrier_all(); } } if (mype == 0) { print_table_basic("shmem_p_bw", "None", "size (Bytes)", "BW", "GB/sec", '+', h_size_arr, h_bw, i); if (report_msgrate) print_table_basic("shmem_p_bw", "None", "size (Bytes)", "msgrate", "MMPS", '+', h_size_arr, h_msgrate, i); } finalize: if (data_d) nvshmem_free(data_d); free_tables(h_tables, 3); finalize_wrapper(); return 0; }