You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@mahout.apache.org by "Jake Mannix (JIRA)" <ji...@apache.org> on 2009/12/14 00:57:18 UTC
[jira] Closed: (MAHOUT-165) Using better primitives hash for sparse
vector for performance gains
[ https://issues.apache.org/jira/browse/MAHOUT-165?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jake Mannix closed MAHOUT-165.
------------------------------
> Using better primitives hash for sparse vector for performance gains
> --------------------------------------------------------------------
>
> Key: MAHOUT-165
> URL: https://issues.apache.org/jira/browse/MAHOUT-165
> Project: Mahout
> Issue Type: Improvement
> Components: Matrix
> Affects Versions: 0.2
> Reporter: Shashikant Kore
> Assignee: Grant Ingersoll
> Fix For: 0.3
>
> Attachments: colt.jar, mahout-165-18nov-updated.patch, mahout-165-18nov.patch, MAHOUT-165-colt.patch, mahout-165-trove.patch, MAHOUT-165-updated.patch, MAHOUT-165-with-colt-module.patch, MAHOUT-165-with-colt.patch, mahout-165.patch, MAHOUT-165.patch, mahout-165.patch
>
>
> In SparseVector, we need primitives hash map for index and values. The present implementation of this hash map is not as efficient as some of the other implementations in non-Apache projects.
> In an experiment, I found that, for get/set operations, the primitive hash of Colt performance an order of magnitude better than OrderedIntDoubleMapping. For iteration it is 2x slower, though.
> Using Colt in Sparsevector improved performance of canopy generation. For an experimental dataset, the current implementation takes 50 minutes. Using Colt, reduces this duration to 19-20 minutes. That's 60% reduction in the delay.
--
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.