cuDNN 7.6.4.38-gcccuda-2019b
There is a newer install of cuDNN
The NVIDIA CUDA Deep Neural Network library (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, pooling, normalization, and activation layers. cuDNN is part of the NVIDIA Deep Learning SDK.Accessing cuDNN 7.6.4.38-gcccuda-2019b
To load the module for cuDNN 7.6.4.38-gcccuda-2019b please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):
📋
module load cuDNN/7.6.4.38-gcccuda-2019b
BEAR Apps Version
Architectures
EL8-cascadelake — EL8-icelake — EL8-sapphirerapids
The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
More Information
For more information visit the cuDNN website.
Dependencies
This version of cuDNN has a direct dependency on: gcccuda/2019b
Other Versions
These versions of cuDNN are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.
| Version | BEAR Apps Version |
|---|---|
| 8.9.2.26-CUDA-12.1.1 | 2023a |
| 8.8.0.121-CUDA-12.0.0 | 2022b |
| 8.4.1.50-CUDA-11.7.0 | 2022a |
| 8.2.2.26-CUDA-11.4.1 | 2021b |
| 8.2.1.32-CUDA-11.3.1 | 2021a |
| 8.0.4.30-CUDA-11.1.1 | 2020b |
Last modified on 19th November 2019