Baunsgaard opened a new pull request #1166:
URL: https://github.com/apache/systemds/pull/1166


   This addition allows taking an overlapping matrix, and collapsing it into a 
compressed matrix.
   Initial experiments show promise, but it is still a little expensive.
   
   The key observation in this collapsed representation is that individual 
columns in the output have values that compress very nicely in lossy 
compression for individual columns, since each column after a matrix 
multiplication have values that are in the same ranges. This makes it possible 
to maintain the values to a 99% same values, while compressing using our 8 bit 
lossy maps.
   


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