13fe3c84
 Laila Saadatifard
update the stimli...
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#ifndef STIM_CUDA_ARRAY_CART2POLAR_H
#define STIM_CUDA_ARRAY_CART2POLAR_H
namespace stim{
namespace cuda{
template<typename T>
__global__ void cuda_cart2polar(T* a, unsigned int N){
//calculate the 1D index for this thread
int i = blockIdx.x * blockDim.x + threadIdx.x;
if(i < N){
float x = a[i * 2 + 0];
float y = a[i * 2 + 1];
float theta = atan2( y, x ) ;
float r = sqrt(x * x + y * y);
a[i * 2 + 0] = theta;
a[i * 2 + 1] = r;
}
}
template<typename T>
void gpu_cart2polar(T* gpuGrad, unsigned int N){
//get the maximum number of threads per block for the CUDA device
int threads = stim::maxThreadsPerBlock();
//calculate the number of blocks
int blocks = N / threads + (N % threads == 0 ? 0:1);
//call the kernel to do the multiplication
cuda_cart2polar <<< blocks, threads >>>(gpuGrad, N);
}
template<typename T>
void cpu_cart2polar(T* a, unsigned int N){
//calculate the number of bytes in the array
unsigned int bytes = N * sizeof(T) * 2;
//allocate memory on the GPU for the array
T* gpuA;
HANDLE_ERROR( cudaMalloc(&gpuA, bytes) );
//copy the array to the GPU
HANDLE_ERROR( cudaMemcpy(gpuA, a, bytes, cudaMemcpyHostToDevice) );
//call the GPU version of this function
gpu_cart2polar<T>(gpuA, N);
//copy the array back to the CPU
HANDLE_ERROR( cudaMemcpy(a, gpuA, bytes, cudaMemcpyDeviceToHost) );
//free allocated memory
cudaFree(gpuA);
}
}
}
#endif
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