Name: [TRITON] Maximizing Kernel Development Productivity Under Performance Constraints - Philip Tillet, OpenAI
Start: 2024-09-18T16:20:00-0700
End: 2024-09-18T16:30:00-0700

September 18-19, 2024
San Francisco, California
View More Details & Registration
Note: The schedule is subject to change.

The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered for PyTorch Conference 2024 to participate in the sessions. If you have not registered but would like to join us, please go to the event registration page to purchase a registration.

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.

Wednesday September 18, 2024 4:20pm - 4:30pm PDT

Festival Pavilion - Breakout Room B

Machine Learning research workflows are often bottlenecked by the development of compute kernels for new algorithms and GPU architectures. This process can be daunting, and often requires a careful trade-off between productivity and performance. In this talk, we will discuss how Triton -- a mid-level programming language for kernel development -- approaches this multi-objective optimization problem, and the design decisions that were made to that effect.

Speakers

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 →

Wednesday September 18, 2024 4:20pm - 4:30pm PDT
Festival Pavilion - Breakout Room B

DL Compiler Mini-Summit

PyTorch Conference 2024

Phil Tillet

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!