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gpu [2017/05/16 10:46]
kocmanek [Servers with GPU units] 		gpu [2017/07/11 13:09]
ufal [Servers with GPU units]
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 ===== Servers with GPU units ===== ===== Servers with GPU units =====
  
-| machine    | GPU; [[https://en.wikipedia.org/wiki/CUDA#Supported_GPUs|Capability]] [cc]  | cores | GPU RAM | Comment | +| machine                    | GPU; [[https://en.wikipedia.org/wiki/CUDA#Supported_GPUs|Capability]] [cc]  | cores | GPU RAM | Comment | 
-| titan      | GeForce GTX 1080 Ti; cc6.1 | 1 | 12 GB |        | +| titan                      | GeForce GTX 1080 Ti; cc6.1 | 1  | 11 GB           |  | 
-| titan-gpu  | GeForce GTX Titan Z; cc3.5 | 2 | 6 GB each core |        | +| titan-gpu                  | GeForce GTX Titan Z; cc3.5 | 2  | 6 GB each core  |  | 
-| twister1   | Tesla K40c; cc3.5          | 1 | 12 GB          |        | +| twister1; twister2; kronos | Tesla K40c; cc3.5          | 1  | 12 GB           |  | 
-| twister2   | Tesla K40c; cc3.5          | 1 | 12 GB          |        | +| iridium                    | Quadro K2000; cc3.0        | 1  | 2 GB            |  | 
-| kronos-dev | Tesla K40c; cc3.5          | 1 | 12 GB          |        | +| victoria; arc              | GeForce GT 630; cc3.0      | 1  | 2 GB            | desktop machine | 
-| iridium    | Quadro K2000; cc3.0        | 1 | 2 GB           |        | +| athena                     | GeForce GTX 1080; cc6.1    | 1  | 8 GB            | Tom's desktop machine | 
-| victoria   | GeForce GT 630; cc3.0      | 1 | 2 GB           | Ondrej Bojar's desktop machine | +| dll1; dll2                 | GeForce GTX 1080; cc6.1    | 8  | 8 GB each core  |  | 
-| arc        | GeForce GT 630; cc3.0      | 1 | 2 GB           | Lucka's desktop machine | +| dll3; dll4; dll5           | GeForce GTX 1080 Ti; cc6.1 | 10 | 11 GB each core |  |
-| athena     | GeForce GTX 1080; cc6.1    | 1 | 8 GB           | Tom's desktop machine | +
-| dll1       | GeForce GTX 1080; cc6.1    | 8 | 8 GB each core |  | +
-| dll2       | GeForce GTX 1080; cc6.1    | 8 | 8 GB each core |  |+
  
 not used at the moment: GeForce GTX 570 (from twister2) not used at the moment: GeForce GTX 570 (from twister2)
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 For testing and using the cluster interactively you can use qrsh (this should not be used for long running experiments since the console is not closed on the end of the experiment). Following command will assign you a GPU and creates interactive console. For testing and using the cluster interactively you can use qrsh (this should not be used for long running experiments since the console is not closed on the end of the experiment). Following command will assign you a GPU and creates interactive console.
  
-  qrsh -q gpu.q -l gpu=1 -pty yes bash+  qrsh -q gpu.q -l gpu=1,gpu_ram=2G -pty yes bash
      
 For running experiments you must use qsub command: For running experiments you must use qsub command:
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 * [[http://www.trustedreviews.com/nvidia-geforce-gtx-1080-review-performance-benchmarks-and-conclusion-page-2| 980 vs 1080 vs Titan X (not the Titan Z we have)]] * [[http://www.trustedreviews.com/nvidia-geforce-gtx-1080-review-performance-benchmarks-and-conclusion-page-2| 980 vs 1080 vs Titan X (not the Titan Z we have)]]
  
-In the following table is the experiment conducted by Tom Kocmi. You can replicate experiment: /a/merkur3/kocmanek/Projects/GPUBenchmark (you will need to prepare environment of TensorFlow11 or use my ANACONDA)+In the following table is the experiment conducted by Tom Kocmi. You can replicate experiment: /a/merkur3/kocmanek/Projects/GPUBenchmark (you will need to prepare environment of TensorFlow11 or use my ANACONDA). The benchmark uses 2GB model.
  
 | machine | Setup; CPU/GPU; [[https://en.wikipedia.org/wiki/CUDA#Supported_GPUs|Capability]] [cc] | Walltime | Note | | machine | Setup; CPU/GPU; [[https://en.wikipedia.org/wiki/CUDA#Supported_GPUs|Capability]] [cc] | Walltime | Note |

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