I just started experimenting cuda with the following cude
#include "macro.hpp"
#include <algorithm>
#include <iostream>
#include <cstdlib>
//#define double float
//#define double int
int RandomNumber(){return static_cast<double>(rand() % 1000);}
__global__ void sum3(double const* a,
double const* b,
double const* c,
double * result,
unsigned const* n)
{
unsigned i = blockIdx.x;
while(i < (*n))
{
result[i] = (a[i] + b[i] + c[i]);
}
};
int main()
{
static unsigned size = 1e2;
srand(0);
double* a = new double[size];
double* b = new double[size];
double* c = new double[size];
double* result = new double[size];
std::generate(a, a+size, RandomNumber);
std::generate(b, b+size, RandomNumber);
std::generate(c, c+size, RandomNumber);
double* ad, *bd,* cd;
double* resultd;
unsigned * sized;
std::cout << cudaMalloc((void**) &ad, size*sizeof(double)) << std::endl;
std::cout << cudaMalloc((void**) &bd, size*sizeof(double)) << std::endl;
std::cout << cudaMalloc((void**) &cd, size*sizeof(double)) << std::endl;
std::cout << cudaMalloc((void**) &resultd, size*sizeof(double)) << std::endl;
std::cout << cudaMalloc((void**) &sized, sizeof(unsigned)) << std::endl;
cudaMemcpy((void**) &sized, &size, sizeof(unsigned), cudaMemcpyHostToDevice);
// print_array(a, size);
for(int i = 0; i < 1000; ++i)
{
cudaMemcpy(ad, a, size*sizeof(double), cudaMemcpyHostToDevice);
cudaMemcpy(bd, b, size*sizeof(double), cudaMemcpyHostToDevice);
cudaMemcpy(cd, c, size*sizeof(double), cudaMemcpyHostToDevice);
sum3<<<size, 1>>>(ad, bd, cd, resultd, sized);
cudaMemcpy(result, resultd, size*sizeof(double), cudaMemcpyDeviceToHost);
}
#ifdef PRINT
for( int i = 0; i < size; ++i)
{
std::cout << a[i] << ", "<< b[i] <<"," << c[i] << "," << result[i]<< std::endl;
}
#endif
cudaFree(ad);
cudaFree(bd);
cudaFree(cd);
cudaFree(resultd);
delete[] a;
delete[] b;
delete[] c;
delete[] result;
return 0;
}
Compile this on mac book pro without any problem. However when I try to run this I get
930, 22,538,899
691, 832,205,23
415, 655,148,120
872, 876,481,985
761, 909,583,619
841, 104,466,917
610, 635,911,52
//more useless numbers
I have compared my samples with the one in Cuda By Example and I dont see any major difference except type. Any pointer on this problem is appreciated.