U.S. National Science Foundation Expeditions in Computing
Learning Directed Operating System
A Clean-Slate Paradigm for OS Design and Implementation
We are building the next-generation Machine Learning-based Operating System to drive computing infrastructure toward high efficiency and performance.
LDOS News
LDOS is among the most exciting expedition projects that showcase how AI could help revamp policies and mechanisms of modern operating systems (arguably the most important systems software).
Stay up-to-date with the latest research, knowledge transfer, and outreach activities.
Congratulations to LDOS Expedition students Rohit Dwivedula, Haoyu Li, and Xiao Zhang, who have been selected for the Amazon AI PhD Research Fellowship!
Daehyeok Kim, an assistant professor in the Department of Computer Science at The University of Texas at Austin and LDOS Co-PI, has received a 2025 National Science Foundation (NSF) CAREER Award.
Recent Publications
AdvNet: Revealing Performance Issues in Network Protocols by Generating Adversarial Environments
Shehab Sarar Ahmed, William Sentosa, Yinjie Zhang, Yoav Lebendiker, Michael Shnaiderman, Tomer Gilad, Nathan H. Jay, P. Brighten Godfrey, Michael Schapira
CoNEXT, December 2026
Tools-ZRay: Portable Compiler-Assisted Memory Traffic Characterization.
Ashwin Poduval, Hayden Coffey, and Michael M. Swift
IISWC, September 2026
To Tier, or Not? Evaluating Tiered Memory Systems on the Basis of Cost
Ashwin Poduval, Sujay Yadalam, and Michael M. Swift.
DIMES, September 2026
Regional Policies for Memory Tiering Systems.
Hayden Coffey, Sujay Yadalam, Ashwin Poduval, Vinay Banakar, Shivaram Venkataraman, and Michael M. Swift.
DIMES, September 2026
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