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gpu [2018/06/21 10:04]
vodrazka [Servers with GPU units]
gpu [2018/09/05 10:17] (current)
vodrazka [Servers with GPU units]
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 Multiple versions of CUDA library are accessible on each machine together with cudnn. Theano and TensorFlow is supported. Multiple versions of CUDA library are accessible on each machine together with cudnn. Theano and TensorFlow is supported.
  
-TODO - update link: +[[https://​ufaladm2.ufal.hide.ms.mff.cuni.cz/​munin/​ufal.hide.ms.mff.cuni.cz/​lrc-master.ufal.hide.ms.mff.cuni.cz/​index.html#​dll|GPU usage rolling graphs]]
-[[https://​ufaladm2.ufal.hide.ms.mff.cuni.cz/​munin/​ufal.hide.ms.mff.cuni.cz/​lrc-headnode.ufal.hide.ms.mff.cuni.cz/​index.html#​dll|GPU usage rolling graphs]]+
  
  
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 Multiple versions of ''​cuda''​ can be accessed in ''/​opt/​cuda''​. ​ Multiple versions of ''​cuda''​ can be accessed in ''/​opt/​cuda''​. ​
 +
 +**Update: cuda now seems to reside in ''/​opt/​lib/​CUDA/''​ so probably you want to use that instead of ''/​opt/​cuda/''​**
 +
 You need to set library path from your ''​~/​.bashrc'':​ You need to set library path from your ''​~/​.bashrc'':​
  

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