[jira] [Commented] (SYSTEMML-1811) Can we Implement X%*%t(X) in a better way?

["Matthias Boehm (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SYSTEMML-1811?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16102314#comment-16102314 ] 

Matthias Boehm commented on SYSTEMML-1811:
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For all backends (CP, SPARK, MR), we actually have physical operators, called tsmm (transpose-self matrix multiplication) for t(X)%*%X and X%*%t(X). At block level there are also special implementations for this operation:

https://github.com/apache/systemml/blob/master/src/main/java/org/apache/sysml/runtime/matrix/data/LibMatrixMult.java#L1648

> Can we Implement X%*%t(X) in a better way?
> ------------------------------------------
>
>                 Key: SYSTEMML-1811
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-1811
>             Project: SystemML
>          Issue Type: Improvement
>            Reporter: Janardhan
>
> A matrix multiplied by its self transpose is a frequent occurrence in many algorithms ( a lot of them). There is definitely a way to take into consideration the special properties of this matrix operation.



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