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From "Mikalai Parafeniuk (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HAMA-524) [GSoC 2012] Sparse Matrix-Vector multiplication (SpMV) on Hama
Date Mon, 18 Jun 2012 16:55:42 GMT

    [ https://issues.apache.org/jira/browse/HAMA-524?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13396027#comment-13396027
] 

Mikalai Parafeniuk commented on HAMA-524:
-----------------------------------------

Thanks for comment, Edward, I will take it into account. I am glad to announce that first
implementation of matrix formats with improved documentation can be found now in my github
repository. I have implemented next matrix formats: Dense, Compressed Column Storage (CCS),
Compressed Row Storage (CRS), Double Linked Format, Jagged Diagonal Storage (JDS). Also I
have implemented next vector formats: Dense, Sparse.  Maybe someone can propose some other
useful matrix and vector formats to implement? In next few days I will be writing tests for
created formats and converters and fixing bugs. Waiting for your reviews, ideas and comments.
                
> [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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