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Finer-grained GPU reservation #8

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superbobry opened this issue Oct 11, 2018 · 1 comment
Open

Finer-grained GPU reservation #8

superbobry opened this issue Oct 11, 2018 · 1 comment

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@superbobry
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Currently, tf-yarn is only able to reserve GPUs with node-level granularity, i.e. it assumes that a GPU node has a capacity of a single container, and then uses all of the GPUs on that node. It is possible to restrict tf-yarn container to a subset of GPUs:

  • augment TaskSpec with num_gpus field,
  • prior to running _dispatch_task discover which GPUs are not in use, and list them explicitly in CUDA_VISIBLE_DEVICES.
@superbobry
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Another solution would be to switch to Hadoop 3.X which supports Nvidia GPUs natively.

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@superbobry