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https://issues.apache.org/jira/browse/HAMA-961?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14591495#comment-14591495
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ChiaHung Lin commented on HAMA-961:
-----------------------------------
If I understand correctly, the setup[1] resembles to [2] except no model
replicas. In addition parameter server[2] seems to already have source released
under Apache Licence.
[1].
https://docs.google.com/drawings/d/1cjz50sGbpnFp2oab30cZ5MNYsaD3PtaBRVsUWuLiglI/edit?usp=sharing
[2]. http://research.google.com/archive/large_deep_networks_nips2012.html
[3]. https://github.com/dmlc/parameter_server
> Parameter Server for large scale MLP
> ------------------------------------
>
> Key: HAMA-961
> URL: https://issues.apache.org/jira/browse/HAMA-961
> Project: Hama
> Issue Type: Improvement
> Components: machine learning
> Affects Versions: 0.7.0
> Reporter: Edward J. Yoon
> Assignee: Edward J. Yoon
> Fix For: 0.8.0
>
>
> I've recently started to review the MLP source codes closely, and I'm
> thinking about some improvement and API refactoring e.g., APIs for
> user-defined neuron and synapse models, data structure, ..., etc.
> This issue is one of them, and related to train large models. I'm considering
> distributed parameter server (http://parameterserver.org) for managing
> parameters.
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