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From "Muhammad Hamdan (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SINGA-308) CPU-GPU parallelism
Date Fri, 07 Apr 2017 17:01:41 GMT

    [ https://issues.apache.org/jira/browse/SINGA-308?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15961118#comment-15961118
] 

Muhammad Hamdan commented on SINGA-308:
---------------------------------------

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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