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gpu [2017/07/11 13:10]
ufal [Servers with GPU units]
gpu [2017/07/19 16:17]
kocmanek [Performance tests]
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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). The benchmark uses 2GB model.+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 of seq2seq machine translation in Neural Monkey (De > EN). If not specified, the benchmark had an access only to one GPU.
  
 | 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 |
 | athena     | GeForce GTX 1080; cc6.1            |    9:55:58 | Tom's desktop  | | athena     | GeForce GTX 1080; cc6.1            |    9:55:58 | Tom's desktop  |
 | dll2       | (2 GPU) GeForce GTX 1080; cc6.1    |   10:19:40 | with CUDA_VISIBLE_DEVICES=0 | | dll2       | (2 GPU) GeForce GTX 1080; cc6.1    |   10:19:40 | with CUDA_VISIBLE_DEVICES=0 |
-| titan      | GeForce GTX 1080 Ti                |   11:41:08  |+| 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 |
 | dll2       | (2 GPU) GeForce GTX 1080; cc6.1    |   13:01:05 | Only one GPU was used | | dll2       | (2 GPU) GeForce GTX 1080; cc6.1    |   13:01:05 | Only one GPU was used |
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 | arc        | GeForce GT 630; cc3.0              |  103:42:30 | (approximated after 66 hours) | | arc        | GeForce GT 630; cc3.0              |  103:42:30 | (approximated after 66 hours) |
 | 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 | 
  
  
 +=== Second Benchmark ===
 +
 +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 |
 +| Tesla K40c; cc3.5          |   12 GB |                  |  |
 +| 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 Titan Z; cc3.5 |    6 GB |  02:20:47 |       1100 | titan-gpu |
 +| Quadro K2000; cc3.0        |    2 GB |  28:15:26 |         50 | iridium |
  
 ===== Links ===== ===== Links =====

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