I have some code that will run on a cluster/grid. Some of the Condor hosts on the grid have Tesla cards and CUDA 2.3 installed and the rest don’t.
So when condor jobs are launched, my code needs to diagnose if the grid host it was sent to had a CUDA card and the CUDA toolkit installed or not.
On local hosts that support CUDA the code will use CUFFT for FFT calculations else I have it drop back to using FFTW. We didn’t want to do something
hard to maintain like key CUDA support into knowing the hostname of the grid host and looking up in some table to find if it had a CUDA installation.
Am I correct that the way to do this is to use cudaGetDeviceCount() :
int count = 0;
rc = cudaGetDeviceCount(&count);
and if the ‘rc’ return code isn’t cudaSuccess or the count == 0
then I can be assured there’s no CUDA capability (either due to no CUDA card or no toolkit offering the necessary shared libraries).
I don’t see any need to go into finding what exact compute capability rating the cards have, we only have Tesla C1060s or else the
host will have a plain old low end video card that servers usually come with (no CUDA at all) so I’m just needing to decide to use
CUDA or not.
I got the above from the deviceQuery.cpp file in the SDK