Differences

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--- gpu [2018/04/05 14:41]
vodrazka table update - Quadro P5000 for testing in twister2
+++ gpu [2018/04/27 18:22]
popel [Servers with GPU units]
@@ Line 12: / Line 12: @@
 | dll5 |  GeForce GTX 1080 Ti |  384.69 |  6.1 |  10 |  11 |  250 |
 | dll6 |  GeForce GTX 1080 Ti |  384.69 |  6.1 |  9 |  11 |  122 |
-| gpu |  GeForce GTX TITAN Z |  381.22 |  3.5 |  2 |  6 |  31 |
+| titan-gpu |  GeForce GTX TITAN Z |  381.22 |  3.5 |  2 |  6 |  31 |
 | iridium |  Quadro K2000 |  367.48 |  3.0 |  1 |  2 |  504 |
 | kronos |  GeForce GTX 1080 Ti |  384.81 |  6.1 |  1 |  11 |  125 |
@@ Line 63: / Line 63: @@
 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 twister1 & 2, titan and titan-gpu only)**
+Multiple versions of ''cuda'' can be accessed in ''/opt''.
+System default version for cuda library is configured in ''/etc/ld.so.conf.d/cuda.conf'' as:
+  /opt/cuda/lib64
+  /opt/cuda/extras/CUPTI/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
+  ...
+This means that the system is using ''cuda 9.0'' by default.
+If system default version does not work for you, you can set library path from your ''~/.bashrc''. Your LD_LIBRARY_PATH should contain:
+  /opt/cuda-$CUDA_version/lib64
+In order to link specific version of ''cudnn'' your LD_LIBRARY_PATH should contain:
+  /opt/cuda-$CUDA_version/cudnn/$CUDNN_version/lib64
+Please check if required CUDNN_version is available for given CUDA_version.
 ==== TensorFlow Environment ====
@@ Line 135: / Line 167: @@
 | 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 |
+| twister2   | Quadro P5000                       |   13:19:00 |  |
 | 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 |
@@ Line 152: / Line 185: @@
 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 |           |        |  |
+| 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 |
-| 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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