问题
What libraries or functions need to be used for an objective comparison of CPU and GPU performance? What caveat should be warned for the sake of an accurate evaluation?
I using an Ubuntu platform with a device having compute capability 2.1
and working with the CUDA 5 toolkit.
回答1:
I'm using the following
CPU - return microseconds between tic and toc with 2 microseconds of resolution
#include <sys/time.h>
#include <time.h>
struct timespec init;
struct timespec after;
void tic() { clock_gettime(CLOCK_MONOTONIC,&init); }
double toc() {
clock_gettime(CLOCK_MONOTONIC,&after);
double us = (after.tv_sec-init.tv_sec)*1000000.0f;
return us+(after.tv_nsec- init.tv_nsec)/1000.0f;
}
GPU
float time;
cudaEvent_t start, stop;
cudaEventCreate(&start);
cudaEventCreate(&stop);
cudaEventRecord(start, 0);
// Instructions
cudaEventRecord(stop, 0);
cudaEventSynchronize(stop);
cudaEventElapsedTime(&time, start, stop);
cout << setprecision (10) << "GPU Time [ms] " << time << endl;
EDIT
For a more complete answer, please see Timing CUDA operations.
来源:https://stackoverflow.com/questions/16258141/how-to-measure-gpu-vs-cpu-performance-which-time-measurement-functions