| |
| #include <iostream> |
| |
| static __global__ void file1_kernel(int in, int* out) |
| { |
| *out = in * in; |
| } |
| |
| int choose_cuda_device() |
| { |
| int nDevices = 0; |
| cudaError_t err = cudaGetDeviceCount(&nDevices); |
| if (err != cudaSuccess) { |
| std::cerr << "Failed to retrieve the number of CUDA enabled devices" |
| << std::endl; |
| return 1; |
| } |
| for (int i = 0; i < nDevices; ++i) { |
| cudaDeviceProp prop; |
| cudaError_t err = cudaGetDeviceProperties(&prop, i); |
| if (err != cudaSuccess) { |
| std::cerr << "Could not retrieve properties from CUDA device " << i |
| << std::endl; |
| return 1; |
| } |
| std::cout << "prop.major: " << prop.major << std::endl; |
| if (prop.major >= 3) { |
| err = cudaSetDevice(i); |
| if (err != cudaSuccess) { |
| std::cout << "Could not select CUDA device " << i << std::endl; |
| } else { |
| return 0; |
| } |
| } |
| } |
| |
| std::cout << "Could not find a CUDA enabled card supporting compute >=3.0" |
| << std::endl; |
| |
| return 1; |
| } |
| |
| int file1_launch_kernel() |
| { |
| int ret = choose_cuda_device(); |
| if (ret) { |
| return 0; |
| } |
| |
| int input = 4; |
| |
| int* output; |
| cudaError_t err = cudaMallocManaged(&output, sizeof(int)); |
| cudaDeviceSynchronize(); |
| if (err != cudaSuccess) { |
| return 1; |
| } |
| |
| file1_kernel<<<1, 1>>>(input, output); |
| cudaDeviceSynchronize(); |
| err = cudaGetLastError(); |
| std::cout << err << " " << cudaGetErrorString(err) << std::endl; |
| if (err == cudaSuccess) { |
| // This kernel launch should failed as the device linking never occurred |
| std::cerr << "file1_kernel: kernel launch should have failed" << std::endl; |
| return 1; |
| } |
| return 0; |
| } |