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