当我想使用NVProf来解决带有--metrics all的NCCL问题时,分析结果总是返回如下
==2781== NVPROF is profiling process 2781, command: ./nccl_example 2 16
==2781== Profiling application: ./nccl_example 2 16
==2781== Profiling result:
未分析任何事件/指标。我的简单nccl程序
#include <stdio.h>
#include "cuda_runtime.h"
#include "nccl.h"
int main(int argc, char* argv[])
{
ncclComm_t comms[4];
// managing 4 devices
int nDev = 3;
int size = 32*1024*1024;
int devs[4] = {0, 1, 2};
//allocating and initializing device buffers
float** sendbuff = (float**)malloc(nDev * sizeof(float*));
float** recvbuff = (float**)malloc(nDev * sizeof(float*));
cudaStream_t* s = (cudaStream_t*)malloc(sizeof(cudaStream_t)*nDev);
for (int i = 0; i < nDev; ++i) {
CUDACHECK(cudaSetDevice(i));
CUDACHECK(cudaMalloc(sendbuff + i, size * sizeof(float)));
CUDACHECK(cudaMalloc(recvbuff + i, size * sizeof(float)));
CUDACHECK(cudaMemset(sendbuff[i], 1, size * sizeof(float)));
CUDACHECK(cudaMemset(recvbuff[i], 0, size * sizeof(float)));
CUDACHECK(cudaStreamCreate(s+i));
}
//initializing NCCL
NCCLCHECK(ncclCommInitAll(comms, nDev, devs));
//calling NCCL communication API. Group API is required when using
//multiple devices per thread
NCCLCHECK(ncclGroupStart());
for (int i = 0; i < nDev; ++i)
NCCLCHECK(ncclAllReduce((const void*)sendbuff[i], (void*)recvbuff[i],
size, ncclFloat, ncclSum, comms[i], s[i]));
NCCLCHECK(ncclGroupEnd());
//synchronizing on CUDA streams to wait for completion of NCCL operation
for (int i = 0; i < nDev; ++i) {
CUDACHECK(cudaSetDevice(i));
CUDACHECK(cudaStreamSynchronize(s[i]));
}
//free device buffers
for (int i = 0; i < nDev; ++i) {
CUDACHECK(cudaSetDevice(i));
CUDACHECK(cudaFree(sendbuff[i]));
CUDACHECK(cudaFree(recvbuff[i]));
}
//finalizing NCCL
for(int i = 0; i < nDev; ++i)
ncclCommDestroy(comms[i]);
printf("Success \n");
return 0;
}
因为我需要了解NCCL API的详细指标,以便更深入地了解其性能。
发布于 2021-05-27 02:57:11
这种行为是意料之中的。
默认情况下收集的events, metrics,与CUDA设备代码活动有关。要查看一些可能有指导意义的内容,请尝试使用--print-gpu-trace
开关进行分析(并删除--metrics all
)。
documented的“指标”不适用于NCCL正在进行的操作(数据复制)。它们适用于CUDA内核(即CUDA设备代码活动)。
nvprof
似乎确实有可以为NVLink活动收集的指标。要查看这些内容,请在适用的系统(例如,具有NVLink)上运行以下命令:
nvprof --query-metrics
或
nvprof --query-metrics |grep -i nvlink
https://stackoverflow.com/questions/67710465
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