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