The SyFI Lab at the University of Washington builds efficient and resilient infrastructure for the future of AI. As applications grow more complex, we bridge the gap between next-gen models and heterogeneous hardware through cross-stack innovation, delivering scalable, open-source systems validated by industrial partners.
Our research targets three key areas:
Keisuke Kamahori, Shihang Li, Simon Peter, Baris Kasikci — (2026)
Keisuke Kamahori, Wei-Tzu Lee, Atindra Jha, Rohan Kadekodi, Stephanie Wang, Arvind Krishnamurthy, Baris Kasikci — (2026)
Aditya K Kamath, Arvind Krishnamurthy, Marco Canini, Simon Peter — European Conference on Computer Systems (EuroSys) (2026)
June 05, 2026
We present Piper, a programmable distributed training system that uses model annotations and scheduling directives to express model placement, pipeline scheduling, and GPU stream scheduling.May 28, 2026
Team UW SyFI won three awards across two tracks at the FlashInfer AI Kernel Generation Contest at MLSys 2026 — every line of kernel code written by coding agents, not humans.May 12, 2026
We present VibeServe, a multi-agent system that synthesizes a complete LLM serving runtime end-to-end, specialized to a user-specified model, hardware, and workload.May 15, 2026 Dimitrios Skarlatos — Carnegie Mellon University
May 8, 2026 Jialin Li — National University of Singapore
May 8, 2026 Jeff Mogul — Google