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Both sides previous revision Previous revision 2022/09/20 09:39 rosa [GPU at ÚFAL] todo slurm2022/09/07 14:38 vodrazka 2022/08/23 13:15 vodrazka 2022/08/23 13:14 vodrazka 2022/08/23 11:57 fucik [Servers with GPU units] 2022/08/23 11:56 fucik [Servers with GPU units] 2021/12/15 17:57 kasner [Set-up CUDA and CUDNN] 2021/12/15 17:57 kasner [Pytorch Environment] 2021/12/15 17:53 kasner Update CUDA version2021/12/03 17:28 vodrazka 2021/12/03 17:27 vodrazka 2021/12/03 17:27 vodrazka 2021/08/31 12:25 vodrazka [Servers with GPU units] 2021/07/02 16:50 ptacek 2021/07/02 16:49 ptacek 2021/07/02 13:25 vodrazka 2021/07/02 13:19 vodrazka [Servers with GPU units] 2021/02/15 13:21 vodrazka [Servers with GPU units] 2021/02/15 13:20 vodrazka [Servers with GPU units] 2021/02/15 12:51 vodrazka [Servers with GPU units] 2021/02/15 12:41 vodrazka [Servers with GPU units] 2021/02/15 12:36 vodrazka [Servers with GPU units] 2021/02/15 12:35 vodrazka [Servers with GPU units] 2021/02/04 16:39 krubinski [Basic commands] 2020/09/14 15:29 fucik [Rules] 2020/09/14 15:28 fucik [Rules] 2020/07/27 13:12 dusek [Servers with GPU units] 2020/03/14 15:49 popel [Servers with GPU units] 2020/03/14 12:16 popel [Rules] 2020/03/06 15:14 popel one bad GPU removed from dll62020/03/06 09:14 vodrazka [Servers with GPU units] 2019/11/12 16:03 popel [Set-up CUDA and CUDNN] 2019/11/08 09:57 vodrazka [Servers with GPU units] Go Next revision		Previous revision 2022/09/20 09:39 rosa [GPU at ÚFAL] todo slurm2022/09/07 14:38 vodrazka 2022/08/23 13:15 vodrazka 2022/08/23 13:14 vodrazka 2022/08/23 11:57 fucik [Servers with GPU units] 2022/08/23 11:56 fucik [Servers with GPU units] 2021/12/15 17:57 kasner [Set-up CUDA and CUDNN] 2021/12/15 17:57 kasner [Pytorch Environment] 2021/12/15 17:53 kasner Update CUDA version2021/12/03 17:28 vodrazka 2021/12/03 17:27 vodrazka 2021/12/03 17:27 vodrazka 2021/08/31 12:25 vodrazka [Servers with GPU units] 2021/07/02 16:50 ptacek 2021/07/02 16:49 ptacek 2021/07/02 13:25 vodrazka 2021/07/02 13:19 vodrazka [Servers with GPU units] 2021/02/15 13:21 vodrazka [Servers with GPU units] 2021/02/15 13:20 vodrazka [Servers with GPU units] 2021/02/15 12:51 vodrazka [Servers with GPU units] 2021/02/15 12:41 vodrazka [Servers with GPU units] 2021/02/15 12:36 vodrazka [Servers with GPU units] 2021/02/15 12:35 vodrazka [Servers with GPU units] 2021/02/04 16:39 krubinski [Basic commands] 2020/09/14 15:29 fucik [Rules] 2020/09/14 15:28 fucik [Rules] 2020/07/27 13:12 dusek [Servers with GPU units] 2020/03/14 15:49 popel [Servers with GPU units] 2020/03/14 12:16 popel [Rules] 2020/03/06 15:14 popel one bad GPU removed from dll62020/03/06 09:14 vodrazka [Servers with GPU units] 2019/11/12 16:03 popel [Set-up CUDA and CUDNN] 2019/11/08 09:57 vodrazka [Servers with GPU units] 2019/10/31 09:23 vodrazka 2019/10/18 09:57 vodrazka [Servers with GPU units] 2019/10/02 14:34 vodrazka [Servers with GPU units] 2019/10/02 14:33 vodrazka [Servers with GPU units] 2019/08/27 19:12 popel [Rules] 2019/08/27 19:10 popel [Rules] 2019/07/15 11:21 vodrazka [Servers with GPU units] 2019/07/02 15:18 vodrazka [Servers with GPU units] 2019/04/17 15:13 ufal [Servers with GPU units] 2019/04/17 14:11 ufal [Servers with GPU units] 2019/03/05 13:15 vodrazka [Servers with GPU units] 2019/02/11 13:03 popel [Rules] at se pouziva i gpu-troja2019/02/11 10:50 naplava [Servers with GPU units] 2019/02/07 10:44 vodrazka GPU troja machines added2019/01/08 09:36 vodrazka [Servers with GPU units] 2018/12/19 12:21 vodrazka GPU machine table update2018/12/16 16:26 straka [Rules] 2018/12/01 21:09 popel [Rules] -pe smp now works with gpu Go Next revision Both sides next revision
gpu [2021/12/15 17:57] kasner [Pytorch Environment]		gpu [2022/08/23 11:56] fucik [Servers with GPU units]
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	| machine | GPU type | GPU driver version | [[https://en.wikipedia.org/wiki/CUDA#GPUs_supported|cc]] | GPU cnt | GPU RAM (GB) | machine RAM (GB)|		| machine | GPU type | GPU driver version | [[https://en.wikipedia.org/wiki/CUDA#GPUs_supported|cc]] | GPU cnt | GPU RAM (GB) | machine RAM (GB)|
	| dll1 |  Quadro RTX 5000 |   455.23.05 |  7.5 |  8 |  16 |  366.2 |		| dll1 |  Quadro RTX 5000 |   455.23.05 |  7.5 |  8 |  16 |  366.2 |
-	| dll3 |  GeForce GTX 1080 Ti |   455.23.05 |  6.1 |  10 |  11 |  248.8 |	+	| dll3 |  NVIDIA RTX A4000 |   460.27.04 |  8.6 |  10 |  16 |  248.8 |
	| dll4 |  GeForce GTX 1080 Ti |   455.23.05 |  6.1 |  10 |  11 |  248.8 |		| dll4 |  GeForce GTX 1080 Ti |   455.23.05 |  6.1 |  10 |  11 |  248.8 |
	| dll5 |  GeForce GTX 1080 Ti |   455.23.05 |  6.1 |  10 |  11 |  248.8 |		| dll5 |  GeForce GTX 1080 Ti |   455.23.05 |  6.1 |  10 |  11 |  248.8 |
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	fi		fi
-	* When not using Theano, just Tensorflow this can be simplified to ''export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/cuda/10.1/lib64:/opt/cuda/10.1/cudnn/7.6/lib64''.	+	* When not using Theano, just Tensorflow this can be simplified to ''export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/cuda/10.1/lib64:/opt/cuda/11.1/cudnn/8.0/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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