[NLPL Task Force (A)] [uninett.no #202600] updates of CUDA Toolkit and cuDNN on Saga

[Vegard Eide via RT]

ma. 27. jan. 2020 21.44.49 skrev oe at ifi.uio.no:



    please forgive me for pushing this point: but regarding cuDNN, i
    suspect the above is still overly specific.  we would like to combine
    cuDNN 7.6 with CUDA 10.0 (because a third-party module identifies that
    specific combination as what they support, and in the CUDA space i
    tend to not take chances regarding backwards compatibility :-).

    for all i can see, cuDNN supports a relatively broad range of CUDA
    versions, i.e. should work with both 9.0, 9.2, 10.0, 10.1, and the
    latest and greatest 10.2:

    https://docs.nvidia.com/deeplearning/sdk/cudnn-support-matrix/index.html#cudnn-cuda-hardware-versions

    assuming the above is correct, could you make the
    toolchain-independent version of cuDNN more general too?  i believe
    getting these basic 'general-purpose' modules in place will be worth
    it: in the NLPL community we are building our own ecosystem of
    discipline-specific modules on top of these, and version dependencies
    can cross-multiply quickly, in the worst case leading to incompatible
    constraints higher up in the module stack.



Hi,

Yes, you are right, cuDNN releases should work with several CUDA versions. We
have installed
 

cuDNN/7.6.4.38


Regards
Vegard