#include<iostream>
#include<cuda.h>
#include<cuda_runtime.h>
#include<time.h>
using namespace std;
__global__ void nullKernel()
{}
int main(void)
{
const int sum=1000000;
cout<<"Launching..."<<endl;
cudaEvent_t start,stop;
float time;
cudaEventCreate(&start);
cudaEventCreate(&stop);
cudaEventRecord(start,0);
cout<<"Launching..."<<endl;
for(int i=0;i<10000;i++)
{
nullKernel<<<1,1>>>();
//cudaDeviceSynchronize();
}cudaDeviceSynchronize();
cout<<"Launching..."<<endl;
cudaEventRecord(stop,0);
cudaEventSynchronize(stop);
cout<<"Launching..."<<endl;
cudaEventElapsedTime(&time,start,stop);
cout<<time<<endl;
return 0;
#include<cuda.h>
#include<cuda_runtime.h>
#include<time.h>
using namespace std;
__global__ void nullKernel()
{}
int main(void)
{
const int sum=1000000;
cout<<"Launching..."<<endl;
cudaEvent_t start,stop;
float time;
cudaEventCreate(&start);
cudaEventCreate(&stop);
cudaEventRecord(start,0);
cout<<"Launching..."<<endl;
for(int i=0;i<10000;i++)
{
nullKernel<<<1,1>>>();
//cudaDeviceSynchronize();
}cudaDeviceSynchronize();
cout<<"Launching..."<<endl;
cudaEventRecord(stop,0);
cudaEventSynchronize(stop);
cout<<"Launching..."<<endl;
cudaEventElapsedTime(&time,start,stop);
cout<<time<<endl;
return 0;
}
图一是将cudaDeviceSynchronize放在for循环外面,而第二张图则是将cudaDeviceSynchronize放在了for循环里面,从而所耗时相差十倍。

本文探讨了CUDA编程中for循环内外使用cudaDeviceSynchronize函数对程序性能的影响,通过对比实验展示了其显著差异,并解释了原因。
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