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Application Details

  • Description: CUDA is NVIDIA’s parallel computing architecture that enables dramatic increases in computing performance by harnessing the power of the GPU (graphics processing unit).
  • Version: 6.5.14, 7.5.18, 8.0.61 and 9.0.176
  • Modules: cuda/6.5.14, cuda/7.5.18, cuda/8.0.61 and cuda/9.0.176
  • Licence: Free, but owned by NVidia

Usage Examples

Icon tick.png NVIDIA CUDA® modules 7.5.18, 8.0.61 and 9.0.176 have the Deep Neural Network library (cuDNN) included. It is a GPU-accelerated library of primitives for deep neural networks. cuDNN provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers. cuDNN is part of the NVIDIA Deep Learning SDK.

Note: this example is done on a node with a GPU accelerator, usually access would be achieved with the scheduler

[username@login01 ~]$ interactive -pgpu
salloc: Granted job allocation 1014031
Job ID 1014031 connecting to gpu03, please wait...
Last login: Fri Mar 16 10:05:54 2018 from gpu03

[username@gpu03 ~]$ module add cuda/9.0.176
[username@gpu03 ~]$ ./gpuTEST

Further Information