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From "Thomas Jungblut (Commented) (JIRA)" <>
Subject [jira] [Commented] (HAMA-524) [GSoC 2012] Sparse Matrix-Vector multiplication (SpMV) on Hama
Date Fri, 13 Apr 2012 06:50:39 GMT


Thomas Jungblut commented on HAMA-524:

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:
>             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

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