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https://issues.apache.org/jira/browse/HAMA-524?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13253181#comment-13253181
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Thomas Jungblut commented on HAMA-524:
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Hi Alejandro,
the tasks are scored by the mentor and the person with the highest score gets
the task, this will be sorted out this and next week.
If you have already done research here then you should've let us know.
Mikalai would have also got a higher score since he has contributed a few parts
to Hama as well. Partitipation is weighted quite strongly, long term
comittership as well.
If you have ideas and motivation to help Hama with your research then feel free
to participate. But we do not offer you five grands like Google. However the
comittership in an uprising project is much more valuable than this amount of
money, even for a student.
Think about it.
PS: to all others already applied to this task, I would be very proud if you
want to help us out establishing a math package in Hama, we think this has huge
potential in commodity cluster computing and contains lots of research and
exciting tasks.
> [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, examples, matrix
> 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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