CuDNN: Difference between revisions

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<!--Description-->
<!--Description-->
{{#if: {{#var: url}}|
{{#if: {{#var: url}}|
{{App_Description|app={{#var:cudnn}}|url={{#var:url}}|name={{#var:app}}}}|}}
{{App_Description|app={{#var}}|url={{#var:url}}|name={{#var:app}}}}|}}


DESCRIPTION
The NVIDIA CUDA® Deep Neural Network (cuDNN) 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, attention, matmul, pooling, and normalization.
The NVIDIA CUDA® Deep Neural Network (cuDNN) 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, attention, matmul, pooling, and normalization.


<!--Modules-->
<!--Modules-->
==Environment Modules==
==Environment Modules==
Run <code>module spider {{#var:app}}</code> to find out what environment modules are available for this application.
Run <code>module spider cudnn</code> to find out what environment modules are available for this application.
==System Variables==
==System Variables==
* HPC_{{uc:{{#var:app}}}}_DIR - installation directory
* HPC_{{uc:{{#var:app}}}}_DIR - installation directory
* HPC_{{uc:{{#var:app}}}}_BIN - binary directory
* HPC_{{uc:{{#var:app}}}}_INC - include directory
* HPC_{{uc:{{#var:app}}}}_LIB - library directory
<!--Configuration-->
<!--Configuration-->
{{#if: {{#var: conf}}|==Configuration==
{{#if: {{#var: conf}}|==Configuration==

Latest revision as of 15:11, 3 January 2025

Description

cuDNN website  

The NVIDIA CUDA® Deep Neural Network (cuDNN) 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, attention, matmul, pooling, and normalization.

Environment Modules

Run module spider cudnn to find out what environment modules are available for this application.

System Variables

  • HPC_CUDNN_DIR - installation directory
  • HPC_CUDNN_BIN - binary directory
  • HPC_CUDNN_INC - include directory
  • HPC_CUDNN_LIB - library directory