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gpu [2017/03/16 17:10]
kocmanek [Basic commands] 		gpu [2017/05/04 10:37]
kocmanek [Using cluster]
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   qsubmit --gpumem=2G --queue="gpu.q" WHAT_SHOULD_BE_RUN   qsubmit --gpumem=2G --queue="gpu.q" WHAT_SHOULD_BE_RUN
      
 +It is recommended to use priority -100 if you are not rushing for the results and don't need to leap over your colleagues jobs.
 ==== Basic commands ==== ==== Basic commands ====
  
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   /usr/local/cuda/samples/1_Utilities/deviceQuery/deviceQuery   /usr/local/cuda/samples/1_Utilities/deviceQuery/deviceQuery
     # shows CUDA capability etc.     # shows CUDA capability etc.
 +    
 +=== Select GPU device ===
 +
 +Use variable CUDA_VISIBLE_DEVICES to constrain tensorflow to compute only on the selected one. For the use of first GPU use (GPU queue do this for you):
 +  export CUDA_VISIBLE_DEVICES=0
 +
 +To list available devices, use:
 +  /opt/cuda/samples/1_Utilities/deviceQuery/deviceQuery | grep ^Device
 +
 ===== Performance tests ===== ===== Performance tests =====
  
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 | lucifer4   | 8x cores CPU                       |  134:41:22 |  | | lucifer4   | 8x cores CPU                       |  134:41:22 |  |
 | victoria   | GeForce GT 630; cc3.0              |        --- | never run, same GPU as Arc | | victoria   | GeForce GT 630; cc3.0              |        --- | never run, same GPU as Arc |
- 
- 
-===== Installed toolkits ===== 
- 
-//This should mention where each interesting toolkit lives (on a particular machine).// 
- 
-==== TensorFlow ==== 
- 
-[[https://redmine.ms.mff.cuni.cz/projects/mmmt/repository/revisions/6a064187fc6959db9b77cf2d5350c5f4918a8067/entry/prepare_env.sh|This script]] installs TensorFlow 0.7.1 (and all other dependencies we need for Multimodal Translation) into `tf' and `tf-gpu' virtual environments. The GPU environment can be loaded by calling <code>source tf-gpu/bin/activate-gpu</code> 
- 
-OP: I created [[https://gist.github.com/oplatek/323b63b8f116cd3d78c0f492f78cc289|script]] which install Tensorflow 0.8 and test it if it uses GPU. TF is installed into `user` or `global` installation either for `python3.4` or `python2.7` 
- 
-=== Select GPU device === 
- 
-Use variable CUDA_VISIBLE_DEVICES to constrain tensorflow to compute only on the selected one. For the use of first GPU use: 
-<code>export CUDA_VISIBLE_DEVICES=0</code> 
- 
-To list available devices, use: 
-<code>/opt/cuda/samples/1_Utilities/deviceQuery/deviceQuery | grep ^Device</code> 
  
  

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