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https://issues.apache.org/jira/browse/SYSTEMML-1695?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16088255#comment-16088255
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Niketan Pansare commented on SYSTEMML-1695:
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Personally, I would go through
https://github.com/apache/systemml/blob/master/scripts/nn/examples/Example%20-%20MNIST%20LeNet.ipynb
and think how can we modify
https://github.com/apache/systemml/blob/master/scripts/nn/examples/mnist_lenet.dml#L190-L198
to enable HogWild-style training.
> Create design/investigation document for parameter server
> ---------------------------------------------------------
>
> Key: SYSTEMML-1695
> URL: https://issues.apache.org/jira/browse/SYSTEMML-1695
> Project: SystemML
> Issue Type: Sub-task
> Reporter: Niketan Pansare
> Assignee: Janardhan
>
> Here are relevant links:
> - https://issues.apache.org/jira/browse/SPARK-4590
> - https://issues.apache.org/jira/browse/SPARK-6932
> -
> https://docs.google.com/document/d/1SX3nkmF41wFXAAIr9BgqvrHSS5mW362fJ7roBXJm06o/edit
> This document need not cover how to integrate a parameter server in SystemML
> (which comes later), but should discuss following questions:
> 1. Should we integrate existing parameter server implementation or build one
> from scratch ? What are the pros and cons of each approaches ? For example:
> https://github.com/rjagerman/glint
> 2. If we plan to integrate existing parameter server implementation, what is
> the interface ? (for exampe: update(matrix, new matrix) or update(matrix,
> delta)).
> 3. Can parameter server help in ML algorithms ? Some experiments might be
> helpful.
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