Name: DL Compiler Panel Discussion - Philip Tillet, OpenAI; Jason Ansel, Meta; Jacques Pienaar, Google; Tianqi Chen, CMU & OctoAI; Mikhail Zolotukhin, Modular; Peng Wu, Meta
Start: 2024-09-18T17:00:00-0700
End: 2024-09-18T17:30:00-0700

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

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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

Wednesday September 18, 2024 5:00pm - 5:30pm PDT

Festival Pavilion - Breakout Room B

Since the release of PyTorch 2 in 2023, torch.compile() has spurred significant new thinking around DL compiler designs at the framework level. In this session, we invite leaders in this space to share their insights based on real experiences of building DL compilers – Triton, TorchInductor, Halide, TVM, OpenXLA, and Mojo – and growing their ecosystems. We also invite a ‘compiler user representative,’ together.ai, to share their recent journey of redesigning the LLM inference stack around torch.compile(). Each leader will give a 10-minute lightning talk and an engaging panel discussion.

Speakers

Peng Wu

Engineering Manager, Meta

Dr. Peng Wu is the engineering manager of the PyTorch Compiler team at Meta. Dr. Wu spent over a decade at IBM research, working on many aspects of programming systems. She then founded the Programming Technologies Lab at Huawei and led its growth for six years. At Meta, she... Read More →

Phil Tillet

Member Of Technical Staff, OpenAI

Phil first began working with GPUs in 2011 as a contributor to the ViennaCL library. He then received his B.S. from Telecom SudParis (France) in 2012, his M.S. from NCTU (Taiwan) in 2014, and his Ph.D. from Harvard University in 2020. He joined OpenAI full time in 2020 to pursue his... Read More →

Mikhail Zolotukhin

Software Engineering Manager, Modular

Mikhail is an open source enthusiast with contributions ranging from GCC and LLVM to PyTorch. Currently he is at Modular leading a team working on integration of Modular's inference stack with PyTorch.

Tianqi Chen

Assistant Professor, CMU

Tianqi Chen is currently an Assistant Professor at the Machine Learning Department and Computer Science Department of Carnegie Mellon University. He is also the Chief Technologist of OctoAI. He received his PhD. from the Paul G. Allen School of Computer Science & Engineering at the... Read More →

Jacques Pienaar

SWE, Google

Jacques Pienaar is a lead of the ML Compiler Systems Research team at Google Deepmind. In this role he focuses on accelerating and simplifying machine learning for high-performance model deployment across various architectures. He is one of the founders of MLIR, a founding member... Read More →

Jason Ansel

Research Scientist, Meta

Jason Ansel is a Research Scientist at Meta AI and a technical lead for PyTorch compilers. He started the TorchDynamo and TorchInductor projects, which bring flexible graph capture and a high performance compiler to PyTorch 2. He received a Ph.D. from MIT CSAIL in 2014 with research... Read More →

Wednesday September 18, 2024 5:00pm - 5:30pm PDT
Festival Pavilion - Breakout Room B

DL Compiler Mini-Summit

PyTorch Conference 2024