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gpu [2018/01/06 21:17]
popel [Rules] 		gpu [2018/01/15 10:39]
popel [Set-up CUDA and CUDNN]
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 | dll1; dll2                 | GeForce GTX 1080    |  cc6.1 |   8|   8 GB |  | | dll1; dll2                 | GeForce GTX 1080    |  cc6.1 |   8|   8 GB |  |
 | titan                      | GeForce GTX 1080    |  cc6.1 |   1|   8 GB |  | | titan                      | GeForce GTX 1080    |  cc6.1 |   1|   8 GB |  |
-| dll3; dll4; dll5           | GeForce GTX 1080 Ti |  cc6.1 |  10|  11 GB | dll3 has only 9 GPUs since 2017/07 | +| dll4; dll5                 | GeForce GTX 1080 Ti |  cc6.1 |  10|  11 GB |  | 
-| dll6                       | GeForce GTX 1080 Ti |  cc6.1 |   3|  11 GB |  |+| dll3; dll6                 | GeForce GTX 1080 Ti |  cc6.1 |   9|  11 GB |  |
  
 Desktop machines: Desktop machines:
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 ==== Set-up CUDA and CUDNN ==== ==== Set-up CUDA and CUDNN ====
  
-You can add following command into your ~/.bashrc+You should add the following commands into your ~/.bashrc
  
   CUDNN_version=6.0   CUDNN_version=6.0
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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-8.0/cudnn/6.0/lib64:/opt/cuda-8.0/lib64''. Note that on some machines (dll*, twister*), this is the current default even without setting LD_LIBRARY_PATH, but on other machines (kronos, titan, titan-gpu, iridium) you need to set LD_LIBRARY_PATH explicitly.
 ==== TensorFlow Environment ==== ==== TensorFlow Environment ====
  

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