PyTorch Conference 2024

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PyTorch Conference 2024

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

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This schedule is automatically displayed in Pacific Daylight Time (UTC-7). To see the schedule in your preferred timezone, please select from the drop-down located at the bottom of the menu to the right.

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

8:00am PDT

Registration & Badge Pick-Up Gateway Pavilion - Foyer

9:00am PDT

Keynote Sessions to be Announced Festival Pavilion - Keynote Room

10:50am PDT

Coffee Break Gateway Pavilion - Sponsor Showcase

11:20am PDT

Lightning Talk: What's New in Export? - Angela Yi & Tugsbayasgalan Manlaibaatar & Avik Chaudhuri & Yidi Wu, Meta Room A Meta Llama 3 and the Future of Responsible AI Development - Helen Suk, Meta Room C Training Machine Learning Models on-Board of Satellites - Vit Ruzicka, University of Oxford Room B

11:30am PDT

Lightning Talk: Low Precision Dtypes in PyTorch - Vasiliy Kuznetsov, Meta Room A

11:50am PDT

Lightning Talk: HieroGlyph2Text: A PyTorch-Powered Pipeline for Automated Egyptian Hieroglyph Translation from Image - Susi Gentsch, University of Bonn Room B Building Scientific Computing Infrastructure Software with the PyTorch Ecosystem - Bharath Ramsundar, Deep Forest Sciences Room C ExecuTorch Beta and on-Device Generative AI Support - Mergen Nachin & Mengtao (Martin) Yuan, Meta Room A

12:00pm PDT

Lightning Talk: Mobile Computational Photography with PyTorch: Low-Light Denoising - Alexis Baudron, Sony Room B

12:20pm PDT

Lightning Talk: Debiasing the Data Lifecycle - Shailvi Wakhlu, Shailvi Ventures LLC Room C

12:30pm PDT

Lightning Talk: Artificial Pervasiveness. Introducing the Large Ethics Model in AI Education - Aldo Pisano, University of Calabria Room C

12:45pm PDT

Lunch (Provided Onsite for All Attendees) Gateway Pavilion - Sponsor Showcase

1:55pm PDT

Maximizing Training Throughput Using Torch.Compile and FSDP - Linsong Chu & Antoni Viros i Martin, IBM Research; Brian Vaughan, IBM Room B State of PyTorch - Alban Desmaison, Meta Room A The Impact and Challenges of Open Source Generative Datasets and Models - Aaron Gokaslan, Cornell University Room C

2:25pm PDT

Lightning Talk: Beyond Zero: Eliminating Vulnerabilities in PyTorch Container Images - Patrick Smyth, Dan Fernandez & Srishti Hegde, Chainguard Room C Running State-of-Art Gen AI Models on-Device with NPU Acceleration - Felix Baum, Qualcomm Room B

2:35pm PDT

Lightning Talk: Open Source Isn't Insecure - but Your Supply Chain Could Be - Dr. Kathleen Goeschel, Red Hat Room C

2:55pm PDT

Lightning Talk: A Whirlwind Tour of PyTorch Extension Points - Alban Desmaison, Meta Room A A Distributed Stateful Dataloader for Large-Scale Pretraining - Davis Wertheimer, IBM & Linsong Chu, IBM Research Room C TorchInductor CPU Backend Advancements: New Features and Performance Improvements - Jiong Gong & Leslie Fang, Intel Room B

3:05pm PDT

Lightning Talk: Extending PyTorch with Custom Python/C++/CUDA Operators - Richard Zou, Meta Room A

3:25pm PDT

Coffee Break Gateway Pavilion - Sponsor Showcase

4:00pm PDT

DL Compiler Mini-Workshop Room B PyTorch Ecosystem for LLM Fine-tuning Room A

4:30pm PDT

Lightning Talk: Controllable Human Body Animation for Synthetic Data Generation in Action Recognition Tasks - Matyas Bohacek, Stanford University & Vaclav Knapp, Smichovska stredni prumyslova skola a gymnazium Room C

4:40pm PDT

Lightning Talk: PyTorch-Wildlife: A Collaborative Deep Learning Framework for Conservation - Zhongqi Miao, Microsoft Room C

5:00pm PDT

Pushing the Performance Envelope : an Optimization Study for 3D Generative Modelling with PyTorch - Suvaditya Mukherjee & Shireen Chand, University of Southern California Room C

5:30pm PDT

Attendee Welcome Reception Gateway Pavilion - Sponsor Showcase Poster Presentations Gateway Pavilion - Sponsor Showcase

8:00am PDT

Registration & Badge Pick-Up Gateway Pavilion - Foyer

9:00am PDT

Keynote Sessions to be Announced Festival Pavilion - Keynote Room

10:55am PDT

Coffee Break Gateway Pavilion - Sponsor Showcase

11:25am PDT

Lightning Talk: Implementing and Using Iterable Datasets: What Could Go Wrong? - Nicolas Hug, Meta Room C Lightning Talk: On-Device Profiling and Debugging with ExecuTorch - Olivia Liu, Meta Room A The Rise of `Transformers` in the Growing PyTorch Ecosystem - Arthur Zucker, Hugging Face Room B

11:35am PDT

Lightning Talk: Fast, Scalable Distributed Training with StreamingDataset - Saaketh Narayan, Databricks Room C Lightning Talk: LLMs on Edge with AI Accelerators - Chen Lai & Cemal Bilgin, Meta Room A

11:55am PDT

Lightning Talk: Building and Supporting the Chinese PyTorch Community: Resources, Tutorials, and Engagement - Zesheng Zong, Huawei Room C Training MoEs at Scale with PyTorch - Mihir Patel, Databricks Room B

12:05pm PDT

Lightning Talk: Distributing a Million Open Models in the Wild: Lessons Learned from the Hugging Face Hub - Omar Sanseviero, Hugging Face Room C

12:25pm PDT

Lightning Talk: Empowering Developers: Tools and Resources for Running Generative AI on Arm CPUs - Pareena Verma, Arm Room B Lightning Talk: New Activation Checkpointing APIs in PyTorch - Jeffrey Wan & Horace He, Meta Room A

12:35pm PDT

Lightning Talk: FlexAttention - the Flexibility of PyTorch + the Performance of FlashAttention - Yanbo Liang, Meta Room A Lightning Talk: Optimized PyTorch Inference on Aarch64 Linux CPUs - Sunita Nadampalli, Amazon (AWS) Room B

12:50pm PDT

Lunch (Provided Onsite for All Attendees) Gateway Pavilion - Sponsor Showcase

2:00pm PDT

Building PyTorch Computer Vision Algorithms for 100 Skin Shades - Emmanuel Acheampong, roboMUA Room C Data-Dependent Shapes in PT2 - Edward Yang, Meta Room A VLLM: Easy, Fast, and Cheap LLM Serving for Everyone - Woosuk Kwon, UC Berkeley & Xiaoxuan Liu, UCB Room B

2:30pm PDT

Blobs to Clips: Efficient End-to-End Video Data Loading - Andrew Ho & Ahmad Sharif & Gokul Gunasekaran, Meta; Kaiyue Yang, Meta Platforms, Inc Room C Torch.Compile for Autograd, DDP and FSDP - Will Feng & Chien-Chin Huang & Simon Fan, Meta Room A Torchtitan: Large-Scale LLM Training Using Native PyTorch 3D Parallelism - Wanchao Liang, Meta Room B

3:00pm PDT

Lightning Talk: What's New for PyTorch Developer Infrastructure - Sahan Paliskara & Catherine Lee, Meta Room A Slaying OOMs - Mark Saroufim & Jane Xu, Meta Room B

3:10pm PDT

Lightning Talk: PyTorch Release Process - Andrey Talman, Meta Inc. Room A

3:30pm PDT

Coffee Break Gateway Pavilion - Sponsor Showcase

4:05pm PDT

Lightning Talk: AOTriton: Ahead of Time Triton Kernel Libraries on ROCm - Joseph Groenenboom, AMD Room A Intel GPU in Upstream PyTorch: Expanding GPU Choices and Enhancing Backend Flexibility - Eikan Wang, Intel Room B Unlocking the Enigma: Crafting Unbiased, Transparent, and Explainable Large Language Models - Rashmi Nagpal, Patchstack Room C

4:15pm PDT

Lightning Talk: Making the Most of Heterogeneous Memory Capacity Using PyTorch - Syed Ahmed, NVIDIA Corporation Room A

4:35pm PDT

Lightning Talk: Understanding and Optimizing PyTorch Models with Thunder - Thomas Viehmann & Luca Antiga, Lightning AI Room A Understanding the LLM Inference Workload - Mark Moyou, NVIDIA Room B

4:45pm PDT

Lightning Talk: D-Matrix LLM Compression Flow Based on Torch.Fx: Simplifying PTQ/QAT - Zifei Xu, d-Matrix Corporation Room A

5:05pm PDT

Lightning Talk: PyTorch/XLA Auto-Sharding - Yeounoh Chung, Google Room A Implementing a Custom Torch.Compile Backend - a Case Study - Maanav Dalal & Xavier Dupré, Microsoft Room B The Ethical Implications of AI and the Environment: A Focus on Water - Amber Hasan, Ethical Tech AI & Senegal Tuklor Williams, Broken Pencil Pictures llc Room C

5:15pm PDT

Lightning Talk: Introduction to Torch.Distributed.Pipelining - Howard Huang & Ke Wen, Meta Room A