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https://issues.apache.org/jira/browse/HAMA-524?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13291709#comment-13291709
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Mikalai Parafeniuk commented on HAMA-524:
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Hello everybody. I am glad to say that i finished the most tedious activities
in my university. So from now, implementation of this task is my priority.
I am currently working on creating different matrix and vector formats.
You can checkout current code from my github repository.
https://github.com/ParafeniukMikalaj/gsoc-hama/
Actually changes related to this task were placed in examples.linearalgebra
package:
https://github.com/ParafeniukMikalaj/gsoc-hama/tree/trunk/examples/src/main/java/org/apache/hama/examples/linearalgebra
Recently I have created some abstract interfaces and classes for supporting
different
matrix formats. Could anyone make a review and give a feedback? I know that the
amount of code is
not to big, but I think the earlier I'll receive feedback, the earlier I'll
correct the code.
In the nearest future i plan to implement formats for dense matrices and
vectors and one format
for sparse matrices and vectors.
Also I have a set of questions:
1) Is using of reflection is a good idea to exploit internals of matrix format
in time of convertion?
Or it could be implemented simpler?
2) I want to use HamaConfiguration class to register some custom converters
between some
matrix formats. Could anyone give me a starting point, where I can learn how
Hadoop's configuration
works?
> [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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