Github user brkyvz commented on the pull request:

    https://github.com/apache/spark/pull/2294#issuecomment-54696200
  
    The following tests were run on a Mac OS X 10.9.3
    2.8 GHz Intel Core i7
    8 GB 1600 MHz DDR3.
    
    Hyper-threading was disabled and turbo boost was turned off. Effective 
numRows or Effective numCols stand for the effective number of rows or columns 
that are used in the computation. As the transpose multiplications are also 
used, that means that the number of rows of A, which has dimensions `m x n` may 
be `m`, but the effective number of rows are `n`.
     
    
![vary_cols_rows100](https://cloud.githubusercontent.com/assets/5243515/4173434/ecd21678-355a-11e4-8f7e-42985b823a9d.png)
    
![vary_cols_rows500](https://cloud.githubusercontent.com/assets/5243515/4173440/ed417fcc-355a-11e4-84a2-f2dde82edb63.png)
    
![vary_cols_t_2500rows](https://cloud.githubusercontent.com/assets/5243515/4173436/ecd3f59c-355a-11e4-8dcd-522065d35d51.png)
    
![vary_colsb_rows100](https://cloud.githubusercontent.com/assets/5243515/4173437/ecdb9734-355a-11e4-98e4-c870ce8248a2.png)
    
![vary_columns](https://cloud.githubusercontent.com/assets/5243515/4173435/ecd3b460-355a-11e4-9dc2-53e5638dbc6f.png)
    
![vary_rowsa_cols25000](https://cloud.githubusercontent.com/assets/5243515/4173438/ecea1b92-355a-11e4-98f9-14a8a1313f3e.png)
    
![vary_sparsity](https://cloud.githubusercontent.com/assets/5243515/4173439/eced0c58-355a-11e4-8547-7a49ceea662d.png)
    
    
    
    
    
    
    
    



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