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https://issues.apache.org/jira/browse/HAMA-524?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13293248#comment-13293248
]
Edward J. Yoon commented on HAMA-524:
-------------------------------------
It's so nice to see your progress and your process!
Here's my minor comment:
{code}
/**
* Prints useful info about generated matrix: rows, columns, sparsity, items
* count.
*/
@Override
public void cleanup(
BSPPeer<NullWritable, NullWritable, Text, DoubleWritable,
IntegerMessage> peer)
throws IOException {
if (peer.getPeerName().equals(masterTask)) {
peer.write(new Text("Generated matix is"), null);
peer.write(new Text("Sparsity = "), new DoubleWritable(sparsity));
peer.write(new Text("rows = "), new DoubleWritable(rows));
peer.write(new Text("columns = "), new DoubleWritable(columns));
peer.write(new Text("items count = "), new DoubleWritable(
generatedCount / 3));
peer.write(new Text("\nValues:"), null);
for (int i = 0; i < result.length; i++) {
peer.write(null, new DoubleWritable(result[i]));
}
}
}
{code}
If the purpose is just to print some information as a report, you can use
"Counter" instead of writing information to a file.
Great job!
> [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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