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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/08/17 22:15:15 UTC

[GitHub] ankkhedia commented on issue #5052: MXNET R, GPU speed-up much less for regression example than classification

ankkhedia commented on issue #5052: MXNET R, GPU speed-up much less for regression example than classification
URL: https://github.com/apache/incubator-mxnet/issues/5052#issuecomment-414001418
 
 
   @matt32106 @khalida 
   With the latest MXNetR version (Windows GPU - cuda 80), I got the following results 
    
   Run1:
   Classification CPU time:: 1.88 sec elapsed
   Classification GPU time:: 2.03 sec elapsed
   Regression CPU time:: 19.58 sec elapsed
   Regression GPU time:: 19.45 sec elapsed
   
   Run2:
   Classification GPU time:: 1.97 sec elapsed
   Classification CPU time:: 1.75 sec elapsed
   Regression GPU time:: 19.73 sec elapsed
   Regression CPU time:: 20.83 sec elapsed
   
   This is the result obtained on Windows server ec2 instance with p2.xlarge instances (Nvidia Tesla K80). 
   
   Doesn't seems like we have a benchmark to compare performances but it should depend too much on GPU/CPU/OS and system load and other issues like cold start. Trying to get results on few more configurations to analyze the numbers. 
   

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