Hi, I used the following code to compare execution time between CPU and GPU versions of scaleAdd. I am in Ubuntu 16.04, cuda 8.0, 740M card, and core i7 5th gen in my laptop.
However, the results I get is that the CPU version is always faster.
Could you execute the code and provide me your results with machine configuration?
I compile with
OPENCV_LIBPATH=/usr/local/lib
OPENCV_LIBS=`pkg-config opencv --cflags --libs`
g++ -c scaleAdd.cpp -Wall -Wextra -m64 -lm -L$(OPENCV_LIBPATH) $(OPENCV_LIBS)
#include
#include "opencv2/cudaarithm.hpp"
#include
using namespace std;
class Timer
{
private:
double tick;
public:
Timer()
{
}
void tic()
{
tick = (double)cv::getTickCount();
}
double toc()
{
return ((double)cv::getTickCount() - tick)/cv::getTickFrequency();
}
};
int main()
{
size_t LOOPS = 100;
size_t MAX_SIZE=6000;
Timer clock;
float filter= 1;
cv::cuda::GpuMat buffer;
cv::cuda::GpuMat result;
cout<< "Time in ms" << endl;
cout<< "N,BW(GBS),GPU,CPU"<< endl;
for (size_t N=200; N
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