On Fri, 11 Aug 2023, Jed Brown wrote:

> Jacob Faibussowitsch <jacob....@gmail.com> writes:
> 
> > More generally, it would be interesting to know the breakdown of installed 
> > CUDA versions for users. Unlike compilers etc, I suspect that cluster 
> > admins (and those running on local machines) are much more likely to be 
> > updating their CUDA toolkits to the latest versions as they often contain 
> > critical performance improvements.
> 
> One difference is that some sites (not looking at you at all, ALCF) still run 
> pretty ancient drivers and/or have broken GPU-aware MPI with all but a 
> specific ancient version of CUDA (OLCF, LLNL). With a normal compiler, you 
> can choose to use the latest version, but with CUDA, people are firmly stuck 
> on old versions.
> 

Well Nvidia keeps phasing out support for older GPUs in newer CUDA releases - 
so unless GPUs are upgraded - they can't really upgrade (to latest) CUDA 
versions ..

[this is in addition to the usual reasons admins don't do software upgrades... 
Ignore clusters - our CUDA CI machine has random stability issues - so we had 
to downgrade/freeze cuda/driver versions to keep the machine functional]

Satish

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