Github user hhbyyh commented on the pull request:

    https://github.com/apache/spark/pull/4200#issuecomment-71438639
  
    Thanks for review, @srowen 
    Indeed a more proper policy for svd mode selection is needed. I'm having 
some troubles with my cluster now and I'll perform investigation for 
distributed mode after it's back to normal. 
    And, the `require` can still be useful as a must-have criteria check before 
invocation of brzSvd, right?
    
    BTW, I'd like to know if there was successful experience computing svd on 
Spark with a scale about 20K * 20K ?


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