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From "Edward J. Yoon (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HORN-2) Umbrella ticket for Implementation Planning of Apache Horn
Date Mon, 26 Oct 2015 04:53:27 GMT

    [ https://issues.apache.org/jira/browse/HORN-2?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14973724#comment-14973724
] 

Edward J. Yoon commented on HORN-2:
-----------------------------------

Here's my some opinions:

1) We should have to focus on large model and training set problem. Of course, many researchers
are looking for light-weight tool but the real-world problem is different. 

2) Having pluggable design for computing engine is good idea.

3) Network Definition should be layer-wise, and this can be done at job configuration. However,
neuron-centric programming model is needed to provide flexibility. User accessibility can
be covered by library.

> Umbrella ticket for Implementation Planning of Apache Horn
> ----------------------------------------------------------
>
>                 Key: HORN-2
>                 URL: https://issues.apache.org/jira/browse/HORN-2
>             Project: Apache Horn
>          Issue Type: Wish
>            Reporter: Edward J. Yoon
>
> My old rough idea is described here: http://blog.udanax.org/2015/06/googles-distbelief-clone-project-on.html
> The basic idea of data and model parallelism is use of the remote parameter server to
parallelize model creation and distribute training across machines, and the region barrier
synchronization per task group instead of global barrier synchronization for performing asynchronous
mini-batches within single BSP job.
> Since Apache Hama provides pluggable interface for Synchronization[1], we can easily
create our own region barrier synchronization service for handling multiple BSP worker groups
(Regarding management of Tasks Topology, I have no concrete idea yet).
> Parameter Server requires decision whether to use Legacy open source or implement ourself.
> My rough Programming Inteface Design is only focused on feed-forward networks such as
MLP, CNN, and Autoencoder. We may want to conver everything.
> 1. http://wiki.apache.org/hama/SyncService



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