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https://issues.apache.org/jira/browse/HAMA-129?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12661497#action_12661497
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Edward J. Yoon commented on HAMA-129:
-------------------------------------
> If we collect blocks to one table during blocking_mapred(), locality
> will be provided and more faster.
>
> row Key column:A column:B
> c(0, 0) += a(0, 0) * b(0, 0)
> c(0, 0) += a(0, 1) * b(1, 0)
> c(0, 0) += a(0, 2) * b(2, 0)
> c(0, 0) += a(0, 3) * b(3, 0)
> c(0, 1) += a(0, 0) * b(0, 1)
> c(0, 1) += a(0, 1) * b(1, 1)
> ...
I'll test this approach.
> Improving speed of matrix multiplication
> ----------------------------------------
>
> Key: HAMA-129
> URL: https://issues.apache.org/jira/browse/HAMA-129
> Project: Hama
> Issue Type: Improvement
> Components: implementation
> Affects Versions: 0.1.0
> Reporter: Edward J. Yoon
> Assignee: Edward J. Yoon
> Fix For: 0.1.0
>
> Attachments: HAMA-129.patch, HAMA-129_v01.patch, HAMA-129_v02.patch,
> HAMA-129_v03.patch, HAMA-129_v04.patch, HAMA-129_v05.patch,
> HAMA-129_v06.patch, patch01.txt, patch02.txt
>
>
> We use a blockinputformat (row based partitioning). but it causes
> "java.lang.OutOfMemoryError: Java heap space" when size is big.
> I'll write the formulas and partition them as PIEstimator.
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