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