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https://issues.apache.org/jira/browse/SINGA-308?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15963915#comment-15963915
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Muhammad Hamdan commented on SINGA-308:
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Thank you! that worked.
However, it seemed pretty much like the CPU based implementation/training. CPU
utilization was 100% while GPU was about 9% MAX.
I thought this implementation would do the opposite and would rely on the CPU
to work along the GPU to speed up the process comparably to a single GPU.
> CPU-GPU parallelism
> --------------------
>
> Key: SINGA-308
> URL: https://issues.apache.org/jira/browse/SINGA-308
> Project: Singa
> Issue Type: Test
> Components: Core, PySINGA
> Environment: Ubuntu 16.04
> CPU-GPU of the same machine
> Reporter: Muhammad Hamdan
> Labels: test
>
> Is it possible to parallelize the alexnet model for the cifar10 example on a
> CPU and GPU instead of 2-GPUs ? Assuming asynchronous communication between
> the two components
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