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Posted to issues@spark.apache.org by "Yanbo Liang (JIRA)" <ji...@apache.org> on 2016/08/25 08:05:20 UTC
[jira] [Issue Comment Deleted] (SPARK-8519) Blockify distance
computation in k-means
[ https://issues.apache.org/jira/browse/SPARK-8519?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yanbo Liang updated SPARK-8519:
-------------------------------
Comment: was deleted
(was: User 'yanboliang' has created a pull request for this issue:
https://github.com/apache/spark/pull/10306)
> Blockify distance computation in k-means
> ----------------------------------------
>
> Key: SPARK-8519
> URL: https://issues.apache.org/jira/browse/SPARK-8519
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.4.0
> Reporter: Xiangrui Meng
> Assignee: Yanbo Liang
> Labels: advanced
>
> The performance of pairwise distance computation in k-means can benefit from BLAS Level 3 matrix-matrix multiplications. It requires we update the implementation to use blocks. Even for sparse data, we might be able to see some performance gain.
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