[
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
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
