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Date: Sun, 15 Jul 2012 09:13:35 +0000 (UTC)
From: "Mikalai Parafeniuk (JIRA)" <jira@apache.org>
To: hama-dev@incubator.apache.org
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Subject: [jira] [Commented] (HAMA-524) [GSoC 2012] Sparse Matrix-Vector
 multiplication (SpMV) on Hama
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    [ https://issues.apache.org/jira/browse/HAMA-524?page=3Dcom.atlassian.j=
ira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=3D134145=
96#comment-13414596 ]=20

Mikalai Parafeniuk commented on HAMA-524:
-----------------------------------------

Hello everybody. I have published some basic working examples with test cas=
es of SpMV in my GitHub repositoty. But I have encountered some unclear pro=
blems. In debug mode in some configurations (testSpMVSmall for LAMathTest) =
I noticed that different peers are from different sides of barrier synchron=
ization (peer.sync() method). For example I am getting NullPointerException=
 while trying to access array of local matrices
{code}
mLocal =3D mLocalArray[peerIndex];
{code}
Initialization of array is made in setup method
{code}
for (int i =3D 0; i < peerCount; i++) {
    mLocalArray[i] =3D strategy.getNewMatrixFormat();
    vLocalArray[i] =3D new SparseVector(m.getColumns());
}
{code}
I have placed additional peer.sync() in the end of setup method, but this d=
oesn't helped. Now I will be working to avoid in-memory storage of matrices=
 (thanks Apurv for comment), but I think this bug is crucial, and should be=
 fixed as soon as possible. I think this occurs because I made some wrong i=
nitialization. Could anyone review my current code, especially test cases[1=
] and SpMV procedure[2] and help me to detect the problem?

[1]http://goo.gl/HPMv6
[2]http://goo.gl/gtwZ7
               =20
> [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 s=
cienti=EF=AC=81c computing, financial modeling, information retrieval, and =
others, using Hama Bulk Synchronous Parallel framework.

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