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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 Tue, 19 Jun 2012 18:51:42 GMT

    [ https://issues.apache.org/jira/browse/HAMA-524?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13396981#comment-13396981

Mikalai Parafeniuk commented on HAMA-524:

I thought that "init" method will be useful when user doesn't exactly knows matrix size in
creation time (for example, reading matrix from file). But you are totally right, that it
is easily to forget to call "init" method after matrix creation. So I created new constructor
in {{AbstractMatrixFormat}} and {{AbstractVectorFormat}} classes. Constructor looks like this:
  public AbstractMatrixFormat(int rows, int columns) {
    this.rows = rows;
    this.columns = columns;
I think that RandomAccessSparse matrix format will be useful, so I added it. Refactored code
with new format can be found in my github repository. Thanks for response, Thomas.
> [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

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