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From "Matthias Boehm (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SYSTEMML-1774) Improve Parfor parallelism for deep learning
Date Tue, 18 Jul 2017 18:52:00 GMT

    [ https://issues.apache.org/jira/browse/SYSTEMML-1774?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16091986#comment-16091986
] 

Matthias Boehm commented on SYSTEMML-1774:
------------------------------------------

oh and just to be clear, the expensive convolution operations do not support spark execution
type and hence run in CP no matter what the forced execution type is - that's very likely
the reason why you don't see a major slowdown with forced spark execution type.

> 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
>         Attachments: Explain_For_HYBRID_SPARK_Mode_With_ErrorInfo.txt, Explain_For_Spark_Mode.txt,
MNIST_Distrib_Sgd.scala, mnist_lenet_distrib_sgd.dml
>
>
> 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}} using the mode {{SPARK}}, and the error
{{java.lang.NullPointerException}} using the mode {{HYBRID_SPARK}}. More log information can
be found at the following comments. 



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