Hi, I have a small cluster so exclusive node access isn't really an option. We enforce memory constraints on jobs using h_vmem. I discovered that more recent versions of CUDA will always allocate a huge amount of virtual memory (RAM + SWAP + GPU_RAM) so that it can supply a "Unified Virtual Address" (UVA) space.
Is there some way to get around this? Would cgroups support help? Thanks, Brendan
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