[GitHub] idealboy opened a new issue #7350: Multi-Training-Task on the same GPU card

[gi...@git.apache.org]

idealboy opened a new issue #7350: Multi-Training-Task on the same GPU card
URL: https://github.com/apache/incubator-mxnet/issues/7350
 
 
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   ## Environment info
   Operating System:
   centos-7.2
   Compiler:
   gcc-4.8.5
   Package used (Python/R/Scala/Julia):
   Python
   MXNet version:
   0.9.3
   Or if installed from source:
   installed from source
   MXNet commit hash (`git rev-parse HEAD`):
   
   If you are using python package, please provide
   python-2.7
   Python version and distribution:
   python-2.7
   If you are using R package, please provide
   
   R `sessionInfo()`:
   
   ## Error Message:
   Please paste the full error message, including stack trace.
   When I run a single process on a single gpu card, I got about 56 samples/sec; 
   When I run two single process on a single gpu card, I got about 27 samples/sec
   I think it is mainly the band-width in IO for GPU which cause the low trainning speed
   How can I run multi-trainning-task on the sample single GPU card with a high training performence?
   And My GPU's version is k40(12G)
   
   Thank you very much!
   
   ## Minimum reproducible example
   if you are using your own code, please provide a short script that reproduces the error.
   
   ## Steps to reproduce
   or if you are running standard examples, please provide the commands you have run that lead to the error.
   
   1.
   2.
   3.
   
   ## What have you tried to solve it?
   
   1.
   2.
   3.
   
 
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