CUDA has 2 primary APIs, the runtime and the driver API. Both have a corresponding version (e.g. 8.0, 9.0, etc.) The necessary support for the driver API (e.g. libcuda.so on linux) is installed by the GPU driver installer. The necessary support for the runtime API (e.g. libcudart.so on linux, and also nvcc) is installed by … Read more
Probably the best way to check for errors in runtime API code is to define an assert style handler function and wrapper macro like this: #define gpuErrchk(ans) { gpuAssert((ans), __FILE__, __LINE__); } inline void gpuAssert(cudaError_t code, const char *file, int line, bool abort=true) { if (code != cudaSuccess) { fprintf(stderr,”GPUassert: %s %s %d\n”, cudaGetErrorString(code), file, … Read more
Surprise surprise, rebooting solved the issue (I thought I had already tried that). The solution Robert Crovella mentioned in the comments may also be useful to someone else, since it’s pretty similar to what I did to solve the issue the first time I had it.
As Jared mentions in a comment, from the command line: nvcc –version (or /usr/local/cuda/bin/nvcc –version) gives the CUDA compiler version (which matches the toolkit version). From application code, you can query the runtime API version with cudaRuntimeGetVersion() or the driver API version with cudaDriverGetVersion() As Daniel points out, deviceQuery is an SDK sample app that … Read more