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https://issues.apache.org/jira/browse/MAHOUT-1781?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14975789#comment-14975789
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Hudson commented on MAHOUT-1781:
--------------------------------
SUCCESS: Integrated in Mahout-Quality #3290 (See
[https://builds.apache.org/job/Mahout-Quality/3290/])
MAHOUT-1781 Dense matrix view multiplication is 4x slower than non-view
(smarthi: rev 509c966f1b0f8fcd9a63cac1bc16f089b0b615df)
* math/src/main/java/org/apache/mahout/math/MatrixView.java
* math/src/main/java/org/apache/mahout/math/VectorBinaryAggregate.java
* math/src/main/java/org/apache/mahout/math/VectorView.java
*
math-scala/src/test/scala/org/apache/mahout/math/scalabindings/RLikeMatrixOpsSuite.scala
* spark/src/main/scala/org/apache/mahout/sparkbindings/SparkEngine.scala
* math/src/main/java/org/apache/mahout/math/DenseVector.java
*
math-scala/src/test/scala/org/apache/mahout/math/scalabindings/RLikeVectorOpsSuite.scala
> Dense matrix view multiplication is 4x slower than non-view one
> ---------------------------------------------------------------
>
> Key: MAHOUT-1781
> URL: https://issues.apache.org/jira/browse/MAHOUT-1781
> Project: Mahout
> Issue Type: Improvement
> Affects Versions: 0.11.0
> Reporter: Dmitriy Lyubimov
> Assignee: Dmitriy Lyubimov
> Priority: Critical
> Fix For: 0.12.0, 0.13.0
>
>
> if mxA and mxB are two in-core DenseMatrix matrices, then
> mxA(::,::) %*% mxB(::,::) takes 4x the time of mxA %*% mxB.
> possibly an issue of dot products on VectorViews vs. DenseVectors.
> dot product over DenseVectors seems to not to go through aggregate()
> cost-optimized framework.
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