Schedule

Time	Section
8:20 AM	Keynote: Jeff Dean (Google) Advances in Machine Learning for Systems
9:15 AM	Invited: Natasha Jacques (University of Washington) Multi-Agent Reinforcement Learning for Systems
9:55 AM	Coffee Break
10:10 AM	Hardware: Richard Ho (OpenAI) Navigating Scaling and Efficiency Challenges of ML Systems
10:50 AM	Contributed Talks: Don't Transform the Code, Code the Transforms: Towards Precise Code Rewriting using LLMs The Unreasonable Effectiveness of LLMs for Query Optimization
11:10 AM	Poster Session 1
12:00 PM	Lunch Break
1:00 PM	Retrospective: Tim Kraska (MIT, AWS)
1:50 PM	Coffee Break
2:00 PM	CodeGen: Ahmed El-Kishky (OpenAI) OpenAI's o1 Competing on IOI
2:20 PM	Contributed Talks: WarpDrive: An Agentic Workflow for Ninja GPU Transformations Scalable RL for Systems via Offline Imitation from Multiple Baselines: A Case Study in Compiler Optimization
2:40 PM	Q&A, TBD
3:05 PM	Poster Session 2
4:00 PM	Panel: Jeff Dean, Natasha Jacques, Tim Kraska

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