Difference between revisions of "Applications/Cuda"
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==Application Details== | ==Application Details== | ||
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* Licence: Free to download, but owned by NVidia | * Licence: Free to download, but owned by NVidia | ||
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==Usage Examples== | ==Usage Examples== | ||
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'''Note''': this example is done on a node with a GPU accelerator, usually access would be achieved with the scheduler | '''Note''': this example is done on a node with a GPU accelerator, usually access would be achieved with the scheduler | ||
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* [[Programming/Cuda|CUDA Programming Support]] | * [[Programming/Cuda|CUDA Programming Support]] | ||
Revision as of 14:38, 16 November 2022
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: 9.0.176,10.1.168 and 11.5.0 (preferred)
- Modules: cuda/8.0.61, cuda/9.0.176, and cuda/10.1.168 and cuda/11.5.0
- Licence: Free to download, but owned by NVidia
Note : Version 8.0.61 is designated for retirement
Usage Examples
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All NVIDIA CUDA® modules 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
Interactive Session
[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/11.5.0 [username@gpu03 ~]$ ./gpuTEST