[
https://issues.apache.org/jira/browse/SINGA-308?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15960387#comment-15960387
] wangwei commented on SINGA-308: ------------------------------- Yes. It is possible. To use a GPU and a CPU to do the training, just remove device2 related lines, including https://github.com/apache/incubator-singa/blob/master/examples/cifar10/alexnet-parallel.cc#L224 https://github.com/apache/incubator-singa/blob/master/examples/cifar10/alexnet-parallel.cc#L227 https://github.com/apache/incubator-singa/blob/master/examples/cifar10/alexnet-parallel.cc#L230 https://github.com/apache/incubator-singa/blob/master/examples/cifar10/alexnet-parallel.cc#L236 https://github.com/apache/incubator-singa/blob/master/examples/cifar10/alexnet-parallel.cc#L237 > 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)
