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gpu [2018/04/05 14:41]
vodrazka table update - Quadro P5000 for testing in twister2
gpu [2018/04/16 11:18]
kocmanek [Performance tests]
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 You also need to use ''qsub -q gpu.q@dll[256]'' because only those machines have drivers which support CUDA 9. You also need to use ''qsub -q gpu.q@dll[256]'' because only those machines have drivers which support CUDA 9.
 +
 +**Testing configuration (so far on twister2 only)**
 +
 +Multiple versions of ''cuda'' and ''cudnn'' can be accessed in ''/opt''.
 +System default version for both libraries is configured in ''/etc/ld.so.conf.d/cuda.conf'' as:
 +
 +  /opt/cuda/lib64
 +  /opt/cuda/extras/CUPTI/lib64
 +  /opt/cudnn/lib64
 +
 +Actual version used depends on the link in ''/opt''. For example:
 +
 +  ls -l /opt
 +  ...
 +  lrwxrwxrwx 1 root root  8 dub  9 12:30 cuda -> cuda-9.0
 +  lrwxrwxrwx 1 root root  9 dub  9 12:32 cudnn -> cudnn-7.1
 +  ...
 +  
 +This means that the system is using ''cuda 9.0'' and ''cudnn 7.1''.
 +
 +If system default version does not work for you, you can set library path from your ''~/.bashrc''.
 +
 +
 +
 +
 +
 +
 +
 +
  
 ==== TensorFlow Environment ==== ==== TensorFlow Environment ====
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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   
-Tesla K40c; cc3.5          |   12 GB |                  |  | +Quadro P5000               |   17 GB |  01:17:00       3400 twister2  | 
-| 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      |
 | 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   |
  
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