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Optimize Deep Neural Network applications using cuDNN

What is cuDNN ?

  • NVIDIA CUDA Deep Neural Network (cuDNN) is a GPU-accelerated library of primitives for deep neural networks.

  • It provides highly tuned implementations of routines arising frequently in DNN applications.

  • Added support for FP8 fused-multi-head attention training and inference support targeting BERT on NVIDIA Hopper GPUs.

  • Added support for transformer models training and inference using Flash Attention in cuDNN runtime fusion engine

Benefits - Performance Improvement

How to enable cuDNN in the code ?

Additional Reading

  1. https://docs.nvidia.com/deeplearning/cudnn/index.html

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Madhupriya G
27 jun 2023

Useful Information to get better computing environment for complex AI based applications, is given with sample case study.

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Obtuvo 5 de 5 estrellas.

Very Informative. Benefits of cuDNN beautifully highlighted with a quick snapshot.

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Invitado
23 jun 2023

Very Informative. Benefits of cuDNN beautifully highlighted with a quick snapshot.

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Good Optimization tip

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