网站的广度,美容会所网站模板下载,wordpress教程视频 下载地址,免费建站系统哪个好用吗为了测试GPU函数的耗时#xff0c;可以使用 CUDA 提供的计时功能#xff1a;cudaEventCreate, cudaEventRecord, 和 cudaEventElapsedTime。这些函数可以帮助你测量某个 CUDA 操作#xff08;如设置设备#xff09;所花费的时间。
一、记录耗时案例
以下是一个示例程序可以使用 CUDA 提供的计时功能cudaEventCreate, cudaEventRecord, 和 cudaEventElapsedTime。这些函数可以帮助你测量某个 CUDA 操作如设置设备所花费的时间。
一、记录耗时案例
以下是一个示例程序它测量调用 cudaSetDevice 所花费的时间
#include iostream
#include vector
#include cuda_runtime.h__global__ void dummyKernel() {// Dummy kernel to ensure CUDA context is initialized
}int main() {// CUDA device IDsint device1 0;int numIterations 10; // Number of times to call cudaSetDevice// Create CUDA eventscudaEvent_t start, stop;cudaEventCreate(start);cudaEventCreate(stop);// Vector to store elapsed timesstd::vectorfloat elapsedTimes(numIterations);// Set initial device (optional, but ensures a known starting state)cudaSetDevice(device1);// Measure time for multiple cudaSetDevice callsfor (int i 0; i numIterations; i) {// Record the start eventcudaEventRecord(start, 0);// Set the device (this is the operation we are timing)cudaSetDevice(device1);// Record the stop eventcudaEventRecord(stop, 0);// Measure the elapsed time between the start and stop eventscudaEventElapsedTime(elapsedTimes[i], start, stop);// Output resultsstd::cout Number of iterations: i i std::endl;std::cout time to set device device1 : elapsedTimes[i] ms std::endl;}// Calculate statistics (e.g., average time)float totalTime 0.0f;for (float time : elapsedTimes) {totalTime time;}float averageTime totalTime / numIterations;// Output resultsstd::cout Number of iterations: numIterations std::endl;std::cout Average time to set device device1 : averageTime ms std::endl;// Optionally, run a dummy kernel to ensure CUDA is initialized and readydummyKernel1, 1();cudaDeviceSynchronize();// Clean upcudaEventDestroy(start);cudaEventDestroy(stop);return 0;
} 二、编译和运行 2.1 编译: 使用 nvcc 编译这个 CUDA 程序。上面程序文件铭为test_cudaSetDevice_multiple.cu
nvcc -o test_cudaSetDevice_multiple test_cudaSetDevice_multiple.cu 2.2 运行: 然后运行生成的可执行文件。
./test_cudaSetDevice_multiple
哈哈哈就得到运行结果啦
