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https://issues.apache.org/jira/browse/SINGA-308?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15961118#comment-15961118
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Muhammad Hamdan commented on SINGA-308:
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I tried that, it did not work!
F0407 11:58:12.877076 32414 memory.cc:67] Check failed: status ==
cnmemStatus_t::CNMEM_STATUS_SUCCESS (1 vs. 0) CNMEM_STATUS_CUDA_ERROR
*** Check failure stack trace: ***
Aborted (core dumped)
F0407 11:51:00.552853 25773 cudnn_convolution.cc:166] Check failed:
input.device()->lang() == kCuda (0 vs. 1)
*** Check failure stack trace: ***
Aborted (core dumped)
> 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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