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doku:vsc3_gpu [2017/09/22 12:12]
sh
doku:vsc3_gpu [2018/04/10 09:47]
markus
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 The following GPU devices are available: The following GPU devices are available:
- 
-^  Tesla c2050 (fermi)  ^^ 
-|  Total amount of global memory|2687 MBytes | 
-|  (14) Multiprocessors, ( 32) CUDA Cores/MP|448 CUDA Cores | 
-|  GPU Clock rate|1147 MHz | 
-|  Maximum number of threads per block|1024 | 
-|  Device has ECC support|Enabled | 
  
  
-^  Tesla k20m (kepler)  ^^+^  Enterprise-grade Tesla k20m (kepler)  ^^
 |  Total amount of global memory|4742 MBytes | |  Total amount of global memory|4742 MBytes |
 |  (13) Multiprocessors, (192) CUDA Cores/MP|2496 CUDA Cores | |  (13) Multiprocessors, (192) CUDA Cores/MP|2496 CUDA Cores |
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-^  Tesla m60 (maxwell)  ^^+^  Enterprise-grade Tesla m60 (maxwell)  ^^
 |  Total amount of global memory|8114 MBytes | |  Total amount of global memory|8114 MBytes |
 |  (16) Multiprocessors, (128) CUDA Cores/MP|2048 CUDA Cores | |  (16) Multiprocessors, (128) CUDA Cores/MP|2048 CUDA Cores |
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-^  Consumer grade GeForce GTX 1080 (pascal)  ^^+^  Consumer-grade GeForce GTX 1080 (pascal)  ^^
 |  Total amount of global memory|8113 MBytes | |  Total amount of global memory|8113 MBytes |
 |  (20) Multiprocessors, (128) CUDA Cores/MP|2560 CUDA Cores | |  (20) Multiprocessors, (128) CUDA Cores/MP|2560 CUDA Cores |
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-  * One node, n25-009, equipped with two Tesla c2050 (fermi) GPUs. The host system includes two Intel Xeon X5650  @ 2.67GHz CPUs with 6 cores each and 24GB of RAM. 
   * Two nodes, n25-[005,006], with two Tesla k20m (kepler) GPUs each. Host systems are equipped with two Intel Xeon E5-2680 0 @ 2.70GHz each with 8 cores and 256GB of RAM.   * Two nodes, n25-[005,006], with two Tesla k20m (kepler) GPUs each. Host systems are equipped with two Intel Xeon E5-2680 0 @ 2.70GHz each with 8 cores and 256GB of RAM.
-  * <font color=#cc3300>One node, n25-007,</font color=#cc3300> with two Tesla m60 (maxwell) GPUs each. n25-007 is equipped with 2 Intel Xeon E5-2650 v3 @ 2.30GHz, each with 10 cores and a host memory of 256GB RAM, while n25-010 features 2 Intel Xeon E5-2660 v3 @ 2.60GHz, again both with 10 cores and a host memory of 128GB RAM.+  * One node, n25-007, with two Tesla m60 (maxwell) GPUs. n25-007 is equipped with 2 Intel Xeon E5-2650 v3 @ 2.30GHz, each with 10 cores and a host memory of 256GB RAM.
   * Ten nodes, n25-[011-020], with single GPUs of type GTX-1080 (pascal), where host systems are single socket 4-core Intel Xeon E5-1620 @ 3.5 GHz with 64GB RAM.    * Ten nodes, n25-[011-020], with single GPUs of type GTX-1080 (pascal), where host systems are single socket 4-core Intel Xeon E5-1620 @ 3.5 GHz with 64GB RAM. 
   * Two shared-private nodes, n25-[021-022], each equipped with 8 GTX-1080 (pascal) devices hosted on dual socket 4-core Intel Xeon E5-2623 systems @ 2.6 GHz with 128GB RAM.   * Two shared-private nodes, n25-[021-022], each equipped with 8 GTX-1080 (pascal) devices hosted on dual socket 4-core Intel Xeon E5-2623 systems @ 2.6 GHz with 128GB RAM.
 [[https://github.com/NVIDIA/gdrcopy|gdrdrv]] is loaded by default (also see [[https://devtalk.nvidia.com/default/topic/919381/gdrcpy-problem/|notes]] regarding gtx1080 cards). [[https://github.com/NVIDIA/gdrcopy|gdrdrv]] is loaded by default (also see [[https://devtalk.nvidia.com/default/topic/919381/gdrcpy-problem/|notes]] regarding gtx1080 cards).
 +
 ------- -------
 ==== Slurm integration ==== ==== Slurm integration ====
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 GPU nodes are selected via the **generic resource (--gres=)** and **constraints (-C,--constraint=)** options: GPU nodes are selected via the **generic resource (--gres=)** and **constraints (-C,--constraint=)** options:
-  * c2050 (fermi) GPU node: <code>#SBATCH -C c2050 
-#SBATCH --gres=gpu:2 
-</code> 
   * k20m (kepler) GPU nodes: <code>#SBATCH -C k20m   * k20m (kepler) GPU nodes: <code>#SBATCH -C k20m
 #SBATCH --gres=gpu:2 #SBATCH --gres=gpu:2
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 -------------------------------------------------- --------------------------------------------------
  
-===== Visualization ======+===== Visualization (!!currently not supported!!) ======
  
 To make use of a gpu node for visualization you need to perform the following steps. To make use of a gpu node for visualization you need to perform the following steps.
  • doku/vsc3_gpu.txt
  • Last modified: 2018/04/10 09:52
  • by markus