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