You are viewing a plain text version of this content. The canonical link for it is here.
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.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
users@infra.apache.org
With regards,
Apache Git Services