Name: Lightning Talk: Making the Most of Heterogeneous Memory Capacity Using PyTorch - Syed Ahmed, NVIDIA Corporation
Start: 2024-09-19T16:15:00-0700
End: 2024-09-19T16:25:00-0700

September 18-19, 2024
San Francisco, California
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Note: The schedule is subject to change.

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Thursday September 19, 2024 4:15pm - 4:25pm PDT

Room A

Memory intensive deep learning workloads require efficient use of all kinds of memories that are available in a system. In this session, we will discuss how we can utilize such heterogeneous memory through memory pools in PyTorch. We will show how to mix-and-match different CUDA system allocators in the same PyTorch program using memory pools. Consequently, this API unlocks new use cases such as Extended GPU Memory (EGM) based all-gathers, Unified Virtual Memory (UVM), and NVLink Sharp (NVLS) reductions. New NVIDIA architectures accelerate such use cases with high-bandwidth and low-latency interconnects in the hardware, driven by extended functionality of CUDA system allocators in the software. Learn how to use these techniques on memory-intensive deep learning models like LLMs, and discover new CUDA features powered by PyTorch.

Speakers

Syed Ahmed

Senior Software Engineer, PyTorch Core @NVIDIA, NVIDIA Corporation

Syed Ahmed is a Senior Software Engineer on the PyTorch Core team at NVIDIA, focused on keeping PyTorch fast and numerically stable on current NVIDIA platforms, and making PyTorch more expressive on future NVIDIA platforms. He holds a Master’s degree in Electrical Engineering from... Read More →

Thursday September 19, 2024 4:15pm - 4:25pm PDT
Room A

Lightning Talks

Audience Intermediate

PyTorch Conference 2024

Syed Ahmed

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