Accelerating PyTorch Deep Learning Models on Intel XPUs
In this session, we will present optimizations for Intel XPUs in PyTorch Upstream, Intel® Extension for PyTorch, and popular projects in the PyTorch ecosystem such as Hugging Face. Through demos, we will share with audiences the best-known methods to make full use of the optimizations to get the best performance in their deployments with Intel products, and we will give our audience opportunities to do small hands-on experiments to experience the magic virtually.
Speaker(s)
Pramod Pai - Intel/Software Solutions Engineer
Pramod Pai is an AI Software Solutions Engineer at Intel who enables customers to optimize their Machine Learning workflows using solutions from Intel®. His areas of focus include Intel® oneAPI AI Analytics Toolkit, and Intel® Extension for PyTorch*. He holds a Master’s degree in Information Systems from Northeastern University.
Ashok Emani - Intel/AI Frameworks Engineer
AI Frameworks Engineer working on enabling Intel optimizations for PyTorch.
