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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/10/19 11:28:00 UTC

[jira] [Commented] (SPARK-6685) Use DSYRK to compute AtA in ALS

    [ https://issues.apache.org/jira/browse/SPARK-6685?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16210888#comment-16210888 ] 

Apache Spark commented on SPARK-6685:
-------------------------------------

User 'mpjlu' has created a pull request for this issue:
https://github.com/apache/spark/pull/19536

> Use DSYRK to compute AtA in ALS
> -------------------------------
>
>                 Key: SPARK-6685
>                 URL: https://issues.apache.org/jira/browse/SPARK-6685
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>            Reporter: Xiangrui Meng
>            Priority: Minor
>
> Now we use DSPR to compute AtA in ALS, which is a Level 2 BLAS routine. We should switch to DSYRK to use native BLAS to accelerate the computation. The factors should remain dense vectors. And we can pre-allocate a buffer to stack vectors and do Level 3. This requires some benchmark to demonstrate the improvement.



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