World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
30213
World Ranking
2259
National Ranking
1127

Electronics and Electrical Engineering

D-Index
55
Citations
25092
World Ranking
2131
National Ranking
837

Research.com Recognitions

  • 2002 - Fellow of Alfred P. Sloan Foundation

Overview

Todd Austin is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily focuses on the field of Computer Science, with a particular emphasis on Hardware and Architecture, Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, and Software.

The scientist's work spans various topics within these fields, notably:

  • Parallel Computing and Optimization Techniques
  • Security and Verification in Computing
  • Embedded Systems Design Techniques
  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Software Testing and Debugging Techniques
  • Ferroelectric and Negative Capacitance Devices
  • VLSI and Analog Circuit Testing

Todd Austin has published papers in several notable venues. These include:

  • Proceedings of the 59th ACM/IEEE Design Automation Conference
  • 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
  • ACM Journal on Emerging Technologies in Computing Systems
  • 2022 IEEE International Solid-State Circuits Conference (ISSCC)
  • arXiv (Cornell University)

Selected recent publications illustrate the scope of their research interests:

  • PriMax, 2022, Proceedings of the 59th ACM/IEEE Design Automation Conference
  • Software-driven Security Attacks: From Vulnerability Sources to Durable Hardware Defenses, 2021, ACM Journal on Emerging Technologies in Computing Systems
  • Twine: A Chisel Extension for Component-Level Heterogeneous Design, 2022, 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
  • F6: Computer Systems Under Attack - Paying the Performance Price for Protection, 2022, 2022 IEEE International Solid-State Circuits Conference (ISSCC)
  • ADA, the Center for Applications Driving Architectures: accomplishments and vision forward, 2022, Proceedings of the 59th ACM/IEEE Design Automation Conference

Frequent collaborators include Valeria Bertacco and Sharad Malik, with whom Todd Austin has co-authored multiple publications, as well as Nicholas Wendt, Shibo Chen, and Yonathan Fisseha.

In recognition of their work, Todd Austin was awarded the title of Fellow of the Alfred P. Sloan Foundation in 2002.

Best Publications

  • The SimpleScalar tool set, version 2.0

    Doug Burger;Todd M. Austin

  • MiBench: A free, commercially representative embedded benchmark suite

    M.R. Guthaus;J.S. Ringenberg;D. Ernst;T.M. Austin

  • SimpleScalar: an infrastructure for computer system modeling

    T. Austin;E. Larson;D. Ernst

  • Razor: a low-power pipeline based on circuit-level timing speculation

    Dan Ernst;Nam Sung Kim;Shidhartha Das;Sanjay Pant

  • Leakage current: Moore's law meets static power

    N.S. Kim;T. Austin;D. Baauw;T. Mudge

  • A systematic methodology to compute the architectural vulnerability factors for a high-performance microprocessor

    Shubhendu S. Mukherjee;Christopher Weaver;Joel Emer;Steven K. Reinhardt

  • DIVA: a reliable substrate for deep submicron microarchitecture design

    Todd M. Austin

  • Evaluating future microprocessors : The SimpleScalar tool set

    Doug Burger;Todd M. Austin;Steve Bennett

  • DIVA: a reliable substrate for deep submicron microarchitecture design

    Unknown

  • Efficient detection of all pointer and array access errors

    Todd M. Austin;Scott E. Breach;Gurindar S. Sohi

  • A self-tuning DVS processor using delay-error detection and correction

    S. Das;D. Roberts;Seokwoo Lee;S. Pant

  • Razor: circuit-level correction of timing errors for low-power operation

    D. Ernst;S. Das;S. Lee;D. Blaauw

  • Cache-conscious data placement

    Brad Calder;Chandra Krintz;Simmi John;Todd Austin

  • A2: Analog Malicious Hardware

    Kaiyuan Yang;Matthew Hicks;Qing Dong;Todd Austin

  • A 2.60pJ/Inst Subthreshold Sensor Processor for Optimal Energy Efficiency

    Bo Zhai;L. Nazhandali;J. Olson;A. Reeves

  • Dynamic dependency analysis of ordinary programs

    Todd M. Austin;Gurindar S. Sohi

  • BulletProof: a defect-tolerant CMP switch architecture

    K. Constantinides;S. Plaza;J. Blome;B. Zhang

  • Reliable Systems on Unreliable Fabrics

    T. Austin;V. Bertacco;S. Mahlke;Yu Cao

  • Energy-Efficient Subthreshold Processor Design

    Bo Zhai;S. Pant;L. Nazhandali;S. Hanson

  • CryptoManiac: a fast flexible architecture for secure communication

    Lisa Wu;Chris Weaver;Todd Austin

  • Making typical silicon matter with Razor

    T. Austin;D. Blaauw;T. Mudge;K. Flautner

Frequent Co-Authors

Valeria Bertacco
Valeria Bertacco University of Michigan–Ann Arbor
Trevor Mudge
Trevor Mudge University of Michigan–Ann Arbor
David Blaauw
David Blaauw University of Michigan–Ann Arbor
Krisztian Flautner
Krisztian Flautner University of Michigan–Ann Arbor
Brad Calder
Brad Calder Google (United States)
Dennis Sylvester
Dennis Sylvester University of Michigan–Ann Arbor
Gurindar S. Sohi
Gurindar S. Sohi University of Wisconsin–Madison
Glenn Reinman
Glenn Reinman University of California, Los Angeles
Scott Mahlke
Scott Mahlke University of Michigan–Ann Arbor
Nam Sung Kim
Nam Sung Kim University of Illinois at Urbana-Champaign

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