[
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.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]