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From "wangwei (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SINGA-308) CPU-GPU parallelism
Date Sat, 08 Apr 2017 09:56:41 GMT

    [ https://issues.apache.org/jira/browse/SINGA-308?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15961755#comment-15961755
] 

wangwei commented on SINGA-308:
-------------------------------

Then, please remove line 222-227 and add
{code}
std::shared_ptr<CudaGPU> dev_1;
{code}
before 229.

The idea is to use the default GPU device (i.e., the first GPU card) and CPU device.


> 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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