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And to use all that GPU power exclusively you need some good strategy too. Speaking from a medium size biology research centre.
by dumb1224 5y ago
And to use all that GPU power exclusively you need some good strategy too. Speaking from a medium size biology research centre.
- thomasahle 5y agoTrue. It may be that a smaller research center will only rarely be able to saturate the cluster. Maybe it doesn't matter, like how other lab equipment is not in constant use. Another option may be for centers to team up and have shared machines? Or maybe compute as a service will eventually be cheap enough for this not to matter...
- dumb1224 5y agoCurrently only those team who are heavy-deep-learning got special exclusive queues on the GPU nodes on the cluster. If many users want to use the GPUs at the same time it might need some planning. I don't know if it is a solved problem in the HPC field though.