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Both sides previous revision Previous revision 2018/10/22 16:02 vodrazka [Servers with GPU units] 2018/10/10 16:48 fucik 2018/10/02 16:41 kocmi [Set-up CUDA and CUDNN] 2018/10/01 10:07 vodrazka [Servers with GPU units] 2018/09/05 10:17 vodrazka [Servers with GPU units] 2018/08/10 13:49 rosa [Set-up CUDA and CUDNN] 2018/06/21 10:04 vodrazka [Servers with GPU units] 2018/06/21 10:04 vodrazka [Servers with GPU units] 2018/06/12 14:17 popel 2018/06/12 13:50 machacek.dominik [Servers with GPU units] 2018/06/12 12:42 vodrazka [Servers with GPU units] 2018/06/12 12:42 vodrazka [Servers with GPU units] 2018/06/12 12:08 ufal [TensorFlow Environment] 2018/05/31 10:30 popel [Set-up CUDA and CUDNN] 2018/05/30 09:57 vodrazka [Set-up CUDA and CUDNN] 2018/05/30 09:54 vodrazka [Set-up CUDA and CUDNN] 2018/04/27 18:22 popel [Servers with GPU units] 2018/04/24 10:01 vodrazka [Set-up CUDA and CUDNN] 2018/04/23 12:53 vodrazka [Set-up CUDA and CUDNN] 2018/04/16 11:35 kocmanek [Performance tests] 2018/04/16 11:29 kocmanek [Performance tests] 2018/04/16 11:18 kocmanek [Performance tests] 2018/04/13 12:50 kocmanek [Performance tests] 2018/04/12 17:11 kocmanek [Performance tests] 2018/04/12 16:02 kocmanek [Performance tests] 2018/04/12 15:17 kocmanek [Performance tests] 2018/04/09 12:45 vodrazka documenting default settings for cuda and cudnn libraries2018/04/05 14:41 vodrazka table update - Quadro P5000 for testing in twister22018/03/22 11:14 vodrazka Updated cluster GPU table2018/03/21 15:29 ufal [Servers with GPU units] 2018/02/20 17:54 kruza [Rules] typo2018/02/09 15:15 popel [Set-up CUDA and CUDNN] 2018/02/08 15:26 popel [Rules] 2018/02/08 15:21 kocmanek [Servers with GPU units] 2018/02/08 15:20 kocmanek [Rules] 2018/02/08 15:16 kocmanek [Servers with GPU units] 2018/02/08 15:10 kocmanek [Servers with GPU units] 2018/02/08 14:56 kocmanek [Servers with GPU units] 2018/01/25 17:27 popel [Using cluster] 2018/01/23 23:16 popel [Servers with GPU units] 2018/01/15 21:51 popel [Rules] 2018/01/15 10:39 popel [Set-up CUDA and CUDNN] 2018/01/08 13:25 popel dll6 now has 9 cards, so it is the same config as dll32018/01/06 21:17 popel [Rules] 2017/12/05 18:02 popel [Rules] 2017/11/23 14:15 bojar link to munin graphs2017/11/13 09:43 bojar [Rules] 2017/10/17 16:51 popel [Rules] 2017/10/17 16:43 popel [Rules] 2017/10/17 16:39 popel [Using cluster] 2017/10/17 16:38 popel [Rules] Go Next revision		Previous revision 2018/12/01 21:09 popel [Rules] -pe smp now works with gpu2018/11/28 11:21 laitoch [Rules] 2018/11/28 11:11 laitoch [Rules] 2018/11/14 13:46 kocmi [Using cluster] 2018/11/12 10:36 vodrazka [Servers with GPU units] 2018/11/01 14:41 vodrazka [Servers with GPU units] 2018/10/22 16:02 vodrazka [Servers with GPU units] 2018/10/10 16:48 fucik 2018/10/02 16:41 kocmi [Set-up CUDA and CUDNN] 2018/10/01 10:07 vodrazka [Servers with GPU units] 2018/09/05 10:17 vodrazka [Servers with GPU units] 2018/08/10 13:49 rosa [Set-up CUDA and CUDNN] 2018/06/21 10:04 vodrazka [Servers with GPU units] 2018/06/21 10:04 vodrazka [Servers with GPU units] 2018/06/12 14:17 popel 2018/06/12 13:50 machacek.dominik [Servers with GPU units] 2018/06/12 12:42 vodrazka [Servers with GPU units] 2018/06/12 12:42 vodrazka [Servers with GPU units] 2018/06/12 12:08 ufal [TensorFlow Environment] 2018/05/31 10:30 popel [Set-up CUDA and CUDNN] 2018/05/30 09:57 vodrazka [Set-up CUDA and CUDNN] 2018/05/30 09:54 vodrazka [Set-up CUDA and CUDNN] 2018/04/27 18:22 popel [Servers with GPU units] 2018/04/24 10:01 vodrazka [Set-up CUDA and CUDNN] 2018/04/23 12:53 vodrazka [Set-up CUDA and CUDNN] 2018/04/16 11:35 kocmanek [Performance tests] 2018/04/16 11:29 kocmanek [Performance tests] 2018/04/16 11:18 kocmanek [Performance tests] 2018/04/13 12:50 kocmanek [Performance tests] 2018/04/12 17:11 kocmanek [Performance tests] 2018/04/12 16:02 kocmanek [Performance tests] 2018/04/12 15:17 kocmanek [Performance tests] 2018/04/09 12:45 vodrazka documenting default settings for cuda and cudnn libraries2018/04/05 14:41 vodrazka table update - Quadro P5000 for testing in twister22018/03/22 11:14 vodrazka Updated cluster GPU table2018/03/21 15:29 ufal [Servers with GPU units] 2018/02/20 17:54 kruza [Rules] typo2018/02/09 15:15 popel [Set-up CUDA and CUDNN] 2018/02/08 15:26 popel [Rules] 2018/02/08 15:21 kocmanek [Servers with GPU units] 2018/02/08 15:20 kocmanek [Rules] 2018/02/08 15:16 kocmanek [Servers with GPU units] 2018/02/08 15:10 kocmanek [Servers with GPU units] 2018/02/08 14:56 kocmanek [Servers with GPU units] 2018/01/25 17:27 popel [Using cluster] 2018/01/23 23:16 popel [Servers with GPU units] 2018/01/15 21:51 popel [Rules] 2018/01/15 10:39 popel [Set-up CUDA and CUDNN] 2018/01/08 13:25 popel dll6 now has 9 cards, so it is the same config as dll32018/01/06 21:17 popel [Rules] 2017/12/05 18:02 popel [Rules] Go Next revision Both sides next revision
gpu [2018/04/12 15:17] kocmanek [Performance tests]		gpu [2018/04/16 11:35] kocmanek [Performance tests]
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	| titan      | GeForce GTX 1080 Ti                |   10:45:11 | (new result with correct CUDA version) |		| titan      | GeForce GTX 1080 Ti                |   10:45:11 | (new result with correct CUDA version) |
	| dll1       | (2 GPU) GeForce GTX 1080; cc6.1    |   12:34:34 | Probably only one GPU was used |		| dll1       | (2 GPU) GeForce GTX 1080; cc6.1    |   12:34:34 | Probably only one GPU was used |
		+	| twister2   | Quadro P5000                       |   13:19:00 |  |
	| dll2       | GeForce GTX 1080; cc6.1            |   13:01:05 | Only one GPU was used |		| dll2       | GeForce GTX 1080; cc6.1            |   13:01:05 | Only one GPU was used |
	| titan-gpu  | (2 GPU) GeForce GTX Titan Z; cc3.5 |   16:05:24 | Probably only one GPU was used |		| titan-gpu  | (2 GPU) GeForce GTX Titan Z; cc3.5 |   16:05:24 | Probably only one GPU was used |
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	The previous benchmark only compares the speed of processing units within the GPUs and do not take into account the size of memory. Therefore I have conducted another benchmark, this time for each graphic card I have increased the batch size as much as possible so the model still could fit into the GPU (the previous benchmark model had batch size 20). This way the results should be more representative of the power for each GPU.		The previous benchmark only compares the speed of processing units within the GPUs and do not take into account the size of memory. Therefore I have conducted another benchmark, this time for each graphic card I have increased the batch size as much as possible so the model still could fit into the GPU (the previous benchmark model had batch size 20). This way the results should be more representative of the power for each GPU.
-	| GPU; Cuda capability       | GPU RAM |  Walltime | Batch size | Machine |	+	| GPU; Cuda capability       | GPU RAM |  Walltime | Batch size | Machine   |
-	| GeForce GTX 1080 Ti; cc6.1 |   11 GB |  00:55:56 |       2300 | dll5 |	+	| GeForce GTX 1080 Ti; cc6.1 |   11 GB |  00:55:56 |       2300 | dll5      |
-	| GeForce GTX 1080; cc6.1    |    8 GB |  01:10:57 |       1700 | dll1 |	+	| GeForce GTX 1080; cc6.1    |    8 GB |  01:10:57 |       1700 | dll1      |
		+	| Quadro P5000               |   16 GB |  01:17:00 |       3400 | twister2  |
	| GeForce GTX Titan Z; cc3.5 |    6 GB |  02:20:47 |       1100 | titan-gpu |		| GeForce GTX Titan Z; cc3.5 |    6 GB |  02:20:47 |       1100 | titan-gpu |
-	| Quadro K2000; cc3.0        |    2 GB |  28:15:26 |         50 | iridium |	+	| Quadro K2000; cc3.0        |    2 GB |  28:15:26 |         50 | iridium   |
	===== Links =====		===== Links =====

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