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https://issues.apache.org/jira/browse/HAMA-524?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13396981#comment-13396981
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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:
{code:java}
public AbstractMatrixFormat(int rows, int columns) {
this.rows = rows;
this.columns = columns;
init();
}
{code}
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 framework.
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