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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

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NSF Funded Expedition Project Uses AI to Rethink Computer Operating Systems

Aditya Akella leads the project that aims to boost performance of OSes and help enable assistant robots, autonomous vehicles and smart cities.

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UT Designates 2024 ‘The Year of AI’
With signature events covering all aspects of artificial intelligence, new industry and government partnerships, the inaugural cohort of a first-of-its-kind online master’s degree in AI and continued research breakthroughs, The University of Texas at Austin will prioritize AI research and education in 2024.

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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This material is based upon work supported by the U.S. National Science Foundation (NSF) under Grant Number 2326576. Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.