You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Yanbo Liang (JIRA)" <ji...@apache.org> on 2016/08/10 09:12:20 UTC

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

     [ https://issues.apache.org/jira/browse/SPARK-6685?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yanbo Liang updated SPARK-6685:
-------------------------------
    Shepherd: Yanbo Liang

> 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
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org