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

Posted to issues@systemml.apache.org by "Glenn Weidner (JIRA)" <ji...@apache.org> on 2017/09/09 02:17:00 UTC

[jira] [Updated] (SYSTEMML-1767) Performance issues codegen rowwise (column aggregation) w/ wide matrices

     [ https://issues.apache.org/jira/browse/SYSTEMML-1767?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Glenn Weidner updated SYSTEMML-1767:
------------------------------------
    Fix Version/s:     (was: SystemML 1.0)
                   SystemML 0.15

> Performance issues codegen rowwise (column aggregation) w/ wide matrices
> ------------------------------------------------------------------------
>
>                 Key: SYSTEMML-1767
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-1767
>             Project: SystemML
>          Issue Type: Bug
>            Reporter: Matthias Boehm
>            Assignee: Matthias Boehm
>             Fix For: SystemML 0.15
>
>
> On scenarios with wide matrices of millions of features, the codegen rowwise template shows performance issues due to unnecessary multi-threading which requires additional memory per thread for partial aggregation which leads to cache thrashing. We should similarly to the mmchain operator establish a threshold for maximum temporary results and fall back to sequential operations if this threshold is exceeded.



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)