You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/04/30 23:39:06 UTC
[jira] [Closed] (SPARK-6019) Document linking with high-performance
BLAS libraries
[ https://issues.apache.org/jira/browse/SPARK-6019?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng closed SPARK-6019.
--------------------------------
Resolution: Done
Target Version/s: 1.3.0 (was: 1.4.0)
Closing this JIRA because linking to the netlib-java site should be sufficient for now.
> Document linking with high-performance BLAS libraries
> -----------------------------------------------------
>
> Key: SPARK-6019
> URL: https://issues.apache.org/jira/browse/SPARK-6019
> Project: Spark
> Issue Type: Documentation
> Components: Documentation, MLlib
> Affects Versions: 1.3.0
> Reporter: Joseph K. Bradley
> Assignee: Xiangrui Meng
>
> Even though we may not be able to provide high-performance BLAS libraries (due to licenses, system dependencies, etc.), we could provide better documentation about how to link with such libraries on various systems. This could be a new section in the MLlib programming guide.
> Tuned libraries can be much faster than default ones. See discussion [on this dev@spark thread | http://apache-spark-developers-list.1001551.n3.nabble.com/Using-CUDA-within-Spark-boosting-linear-algebra-td10481.html].
--
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