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From "Thomas Jungblut (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HAMA-524) [GSoC 2012] Sparse Matrix-Vector multiplication (SpMV) on Hama
Date Fri, 08 Jun 2012 18:29:23 GMT

    [ https://issues.apache.org/jira/browse/HAMA-524?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13291901#comment-13291901
] 

Thomas Jungblut commented on HAMA-524:
--------------------------------------

Hi,

had a bit of time so I give you a feedback:

-Your abstract classes should not override methods in interfaces if they don't implement something.

-You don't need to define methods in interfaces as abstract as they are implicitly
-If you write your own read and write methods, then inherit from the Writable interface and
implement it as well

These are some minor things, so it won't affect your implementation too much.

bq.1) Is using of reflection is a good idea to exploit internals of matrix format in time
of convertion? Or it could be implemented simpler?

Do you have a concrete case where you want to use reflection?

2) I want to use HamaConfiguration class to register some custom converters between some matrix
formats. Could anyone give me a starting point, where I can learn how Hadoop's configuration
works?

I have given you the workflow of a configuration object here: https://issues.apache.org/jira/browse/HAMA-500?focusedCommentId=13253251&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-13253251

But basically it is some kind of Map<String,String> which holds information. It is bootstrapped
by the usual hama configuration XMLs in classpath, then a client will modify it. Afterwards
it will be serialized to XML and distributed through the cluster to be available on each task.

If you want to register something, you can set the default in the configuration XML in hama's
conf path and user can override it any time he wants to. Normally you would add helpers to
your converter class that gets a configuration and some parameter that you want to set into
it (See FileInputFormat.addInputPath for example).
                
> [GSoC 2012] Sparse Matrix-Vector multiplication (SpMV) on Hama
> --------------------------------------------------------------
>
>                 Key: HAMA-524
>                 URL: https://issues.apache.org/jira/browse/HAMA-524
>             Project: Hama
>          Issue Type: New Feature
>          Components: bsp core, examples, math
>            Reporter: Edward J. Yoon
>            Assignee: Mikalai Parafeniuk
>              Labels: gsoc, gsoc2012, newbie
>
> Implement Efficient and Fast SpMV algorithm which can be widely used in scientiļ¬c computing,
financial modeling, information retrieval, and others, using Hama Bulk Synchronous Parallel
framework.

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