### Blame view

stim/cuda/arraymath/array_atan2.cuh 1.61 KB
 ```1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71``` `````` #ifndef STIM_CUDA_ARRAY_ATAN2_H #define STIM_CUDA_ARRAY_ATAN2_H #include #include #include #include namespace stim{ namespace cuda{ template __global__ void cuda_atan2(T* y, T* x, T* r, unsigned int N){ //calculate the 1D index for this thread int idx = blockIdx.x * blockDim.x + threadIdx.x; if(idx < N){ r[idx] = atan2(y[idx], x[idx]); } } template void gpu_atan2(T* y, T* x, T* r, 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 + 1; //call the kernel to do the multiplication cuda_atan2 <<< blocks, threads >>>(y, x, r, N); } template void cpu_atan2(T* y, T* x, T* cpu_r, unsigned int N){ //allocate memory on the GPU for the array T* gpu_x; T* gpu_y; T* gpu_r; HANDLE_ERROR( cudaMalloc( &gpu_x, N * sizeof(T) ) ); HANDLE_ERROR( cudaMalloc( &gpu_y, N * sizeof(T) ) ); HANDLE_ERROR( cudaMalloc( &gpu_r, N * sizeof(T) ) ); //copy the array to the GPU HANDLE_ERROR( cudaMemcpy( gpu_x, x, N * sizeof(T), cudaMemcpyHostToDevice) ); HANDLE_ERROR( cudaMemcpy( gpu_y, y, N * sizeof(T), cudaMemcpyHostToDevice) ); //call the GPU version of this function gpu_atan2(gpu_y, gpu_x ,gpu_r, N); //copy the array back to the CPU HANDLE_ERROR( cudaMemcpy( cpu_r, gpu_r, N * sizeof(T), cudaMemcpyDeviceToHost) ); //free allocated memory cudaFree(gpu_x); cudaFree(gpu_y); cudaFree(gpu_r); } } } #endif ``````