[
https://issues.apache.org/jira/browse/SYSTEMML-1774?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16090338#comment-16090338
]
Fei Hu edited comment on SYSTEMML-1774 at 7/17/17 7:04 PM:
-----------------------------------------------------------
cc [~mboehm7] Could you help check if my understanding about this issue is
right?
was (Author: tenma):
cc [~mboehm7]
> Improve Parfor parallelism for deep learning
> --------------------------------------------
>
> Key: SYSTEMML-1774
> URL: https://issues.apache.org/jira/browse/SYSTEMML-1774
> Project: SystemML
> Issue Type: Improvement
> Components: Algorithms, Compiler, ParFor
> Affects Versions: SystemML 1.0
> Reporter: Fei Hu
> Labels: deeplearning
>
> When running the [distributed MNIST LeNet example |
> https://github.com/apache/systemml/blob/master/scripts/nn/examples/mnist_lenet_distrib_sgd.dml],
> each mini-batch could ideally run in parallel without interaction. We try to
> force {{parfor (j in 1:parallel_batches)}} at line 137 of
> {{nn/examples/mnist_lenet_distrib_sgd.dml}} to be {{parfor (j in
> 1:parallel_batches, mode=REMOTE_SPARK, opt=CONSTRAINED)}} use
> {{REMOTE_SPARK}} mode, but got some errors about
> {{org.apache.sysml.runtime.DMLRuntimeException: Not supported: Instructions
> of type other than CP instructions}}. More log information can be found at
> the following comments. One example of the errors is that at the convolution
> layer, we need to randomly generate a matrix, but SystemML choose
> {{RandSPInstruction}} instead of {{DataGenCPInstruction}}, which may be
> because SystemML could not determine the row number of the matrix. For this
> distributed MNIST LeNet example, using CPInstruction may achieve better
> performance.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
