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gpu [2019/10/02 14:33]
vodrazka [Servers with GPU units] 		gpu [2019/11/12 16:03]
popel [Set-up CUDA and CUDNN]
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 | dll5 |  GeForce GTX 1080 Ti |  396.24 |  6.1 |  10 |  11.0 |  248.0 | | dll5 |  GeForce GTX 1080 Ti |  396.24 |  6.1 |  10 |  11.0 |  248.0 |
 | dll6 |  GeForce GTX 1080 Ti |  396.24 |  6.1 |  10 |  11.0 |  248.0 | | dll6 |  GeForce GTX 1080 Ti |  396.24 |  6.1 |  10 |  11.0 |  248.0 |
-| dll7 |  GeForce RTX 2080 Ti (3x) GeForce GTX 1080 Ti (1x)|  418.39 |  7.5 |  4 |  11.0 |  122.0 |+| dll7 |  GeForce RTX 2080 Ti |  418.39 |  7.5 |   8 |  11.0 |  248.0 |
 | kronos |  Tesla K40c |  418.39 |  3.5 |  1 |  11.0 |  122.0 | | kronos |  Tesla K40c |  418.39 |  3.5 |  1 |  11.0 |  122.0 |
                                                                                                                                                  
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 You need to set library path from your ''~/.bashrc'': You need to set library path from your ''~/.bashrc'':
  
-  CUDNN_version=7.0 +  CUDA_version=10.1 
-  CUDA_version=9.0+  CUDNN_version=7.6
   CUDA_DIR_OPT=/opt/cuda/$CUDA_version   CUDA_DIR_OPT=/opt/cuda/$CUDA_version
   if [ -d "$CUDA_DIR_OPT" ] ; then   if [ -d "$CUDA_DIR_OPT" ] ; then
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   fi   fi
  
-  * When not using Theano, just Tensorflow this can be simplified to ''export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/cuda/9.0/lib64:/opt/cuda/9.0/cudnn/7.0/lib64''.+  * When not using Theano, just Tensorflow this can be simplified to ''export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/cuda/10.1/lib64:/opt/cuda/10.1/cudnn/7.6/lib64''.
   * Note that the ''cudnn'' library is compiled for specific version of ''cuda''. If you need specific version of ''cudnn'', you can look in ''/opt/cuda/$CUDA_version/cudnn/'' whether it is available for a given ''$CUDA_version''.   * Note that the ''cudnn'' library is compiled for specific version of ''cuda''. If you need specific version of ''cudnn'', you can look in ''/opt/cuda/$CUDA_version/cudnn/'' whether it is available for a given ''$CUDA_version''.
  

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