[
https://issues.apache.org/jira/browse/SPARK-7368?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14537205#comment-14537205
]
yuhao yang edited comment on SPARK-7368 at 5/10/15 2:54 PM:
------------------------------------------------------------
Hi Zongheng, since the Amplab version is built upon a different RowMatrix
implementation. I'm not sure if it's appropriate to make a direct comparison. I
haven't got the time to review the difference carefully.
If possible, can you please share more information that has been collected,
like some benchmark or capability. In the meantime, I'll do it for my PR also.
And what's better is that there's a plan to migrate the Amplab version to
Spark.
For anyone with interests, your suggestion and trial will be most welcome.
Thanks.
was (Author: yuhaoyan):
Hi Zongheng, since the Amplab version is built upon a different RowMatrix
implementation. I'm not sure if it's appropriate to make a direct comparison. I
haven't got the time to review the difference carefully.
If possible, can you please share more information that has been collected,
like some benchmark or capability. In the meantime, I'll do it for my PR also.
And what's better is that there have been a plan to migrate the Amplab version
to Spark. Let me know if you have any suggestion about how shall we proceed.
Thanks.
> add QR decomposition for RowMatrix
> ----------------------------------
>
> Key: SPARK-7368
> URL: https://issues.apache.org/jira/browse/SPARK-7368
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Reporter: yuhao yang
> Original Estimate: 48h
> Remaining Estimate: 48h
>
> Add QR decomposition for RowMatrix.
> There's a great distributed algorithm for QR decomposition, which I'm
> currently referring to.
> Austin R. Benson, David F. Gleich, James Demmel. "Direct QR factorizations
> for tall-and-skinny matrices in MapReduce architectures", 2013 IEEE
> International Conference on Big Data
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
