Baunsgaard opened a new pull request #1078:
URL: https://github.com/apache/systemds/pull/1078


   This PR is sort of an question.
   
   Is it okay for our MKL to assume that the output matrix is fully dense with 
all values !=0? 
   
   If so then we have an potential improved performance.
   
   I have observed up to 30% in some cases (most likely due to inter run 
variance) but around 10% on average, and it is because the native call to 
matrix multiplication has to transfer the matrix out and and then into java 
again and then afterwards it loops through all values to count 0's forcing 
another iteration through the matrix once more.


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