​Food, Socializing, and Excellent talks from the PyTorch Ecosystem

​Venue: Engineering 2, Room 180, UCSC

• ​5:30 - 6:30 Food and Socializing - Catering will be from Falafel Santa Cruz - YUM!

• ​6:30 - 7:00 Accelerating LLM Training and Inference with PyTorch on GPU

• ​7:00 - 7:30 Taming the GPU - Introduction to GPU programming languages

• ​7:30 - 8:00 3 different UCSC Research Lighting Talks

​Talk 1:
Accelerating LLM Training and Inference with PyTorch on GPU - We will be covering how to improve PyTorch training and inference performance by leveraging CUDA and tensor cores.
Presenter: Zeyuan (Faradawn) Yang, Techincial Marketing Engineer, NVIDIA

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​Talk2:

​Taming the GPU - Introduction to GPU programming languages - This introductory session explores GPU programming languages and how they enable high-performance execution of massive AI workloads on modern accelerator hardware.
Presenter: Anil VIshnoi, Principal Software Engineer, Red Hat