World's Best Scientists 2026 revealed!
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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
117
Citations
114956
World Ranking
163
National Ranking
94

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2007 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2006 - Member of the National Academy of Sciences
  • 2006 - Fellow of the American Academy of Arts and Sciences
  • 1993 - Member of the National Academy of Engineering For technical and educational contributions and leadership in the development of computational systems.

Overview

David A. Patterson is affiliated with the University of California, Berkeley in the United States. Their research primarily falls within the field of Environmental Science, with a focus on subfields such as Nature and Landscape Conservation, Ecology, Global and Planetary Change, Aquatic Science, and Computer Networks and Communications.

The main topics covered by their work include:

  • Fish Ecology and Management Studies
  • Marine and fisheries research
  • Physiological and biochemical adaptations
  • Aquaculture Nutrition and Growth
  • Aquaculture disease management and microbiota
  • Marine Bivalve and Aquaculture Studies
  • Aquatic Invertebrate Ecology and Behavior

Among recent publications involving Patterson as an author are:

  • Carbon Emissions and Large Neural Network Training, 2021, arXiv (Cornell University)

Other related recent papers from overlapping research areas include:

  • Benchmarking TinyML Systems: Challenges and Direction, 2020, arXiv (Cornell University)
  • Exceptionally high mortality of adult female salmon: a large-scale pattern and a conservation concern, 2021, Canadian Journal of Fisheries and Aquatic Sciences
  • Maxed Out: Optimizing Accuracy, Precision, and Power for Field Measures of Maximum Metabolic Rate in Fishes, 2020, Physiological and Biochemical Zoology
  • Sex-specific differences in physiological recovery and short-term behaviour following fisheries capture in adult sockeye salmon (Oncorhynchus nerka), 2020, Canadian Journal of Fisheries and Aquatic Sciences

The scientist frequently publishes in venues such as Conservation Physiology, Communications of the ACM, arXiv (Cornell University), Canadian Journal of Fisheries and Aquatic Sciences, and Fisheries Research.

Frequent co-authors collaborating with Patterson include:

  • Steven J. Cooke
  • Scott G. Hinch
  • Erika J. Eliason
  • Anthony P. Farrell
  • Brian Hendriks

Patterson has been recognized by multiple organizations, holding distinctions such as:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2007
  • Fellow of the American Academy of Arts and Sciences, 2006
  • Member of the National Academy of Sciences, 2006
  • Member of the National Academy of Engineering, 1993, for technical and educational contributions and leadership in the development of computational systems

Best Publications

  • Computer Architecture: A Quantitative Approach

    John L. Hennessy;David A. Patterson

  • A view of cloud computing

    Michael Armbrust;Armando Fox;Rean Griffith;Anthony D. Joseph

  • Above the Clouds: A Berkeley View of Cloud Computing

    Michael Armbrust;Armando Fox;Rean Griffith;Anthony D. Joseph

  • In-Datacenter Performance Analysis of a Tensor Processing Unit

    Norman P. Jouppi;Cliff Young;Nishant Patil;David Patterson

  • A case for redundant arrays of inexpensive disks (RAID)

    David A. Patterson;Garth Gibson;Randy H. Katz

  • Computer Organization and Design: the Hardware/Software Interface

    David A. Patterson;John L. Hennessy

  • The Landscape of Parallel Computing Research: A View from Berkeley

    Krste Asanovic;Ras Bodik;Bryan Christopher Catanzaro;Joseph James Gebis

  • Roofline: an insightful visual performance model for multicore architectures

    Samuel Williams;Andrew Waterman;David Patterson

  • LogP: towards a realistic model of parallel computation

    David Culler;Richard Karp;David Patterson;Abhijit Sahay

  • Serverless Network File Systems

    T. E. Anderson;M. D. Dahlin;J. M. Neefe;D. A. Patterson

  • To Err is Human

    Aaron B. Brown;David A. Patterson

  • RAID: high-performance, reliable secondary storage

    Peter M. Chen;Edward K. Lee;Garth A. Gibson;Randy H. Katz

  • A case for NOW (Networks of Workstations)

    T.E. Anderson;D.E. Culler;D. Patterson

  • In-Datacenter Performance Analysis of a Tensor Processing Unit

    Norman P. Jouppi;Cliff Young;Nishant Patil;David Patterson

  • Computer architecture (2nd ed.): a quantitative approach

    John L. Hennessy;David A. Patterson

  • Detecting Large-Scale System Problems by Mining Console Logs

    Wei Xu;Ling Huang;Armando Fox;David A. Patterson

  • Toil enables reproducible, open source, big biomedical data analyses

    John Vivian;Arjun Arkal Rao;Frank Austin Nothaft;Christopher Ketchum

  • A case for intelligent RAM

    D. Patterson;T. Anderson;N. Cardwell;R. Fromm

  • A view of the parallel computing landscape

    Krste Asanovic;Rastislav Bodik;James Demmel;Tony Keaveny

  • Reduced instruction set computers

    David A. Patterson

  • A case for NOW (networks of workstation)

    David A. Patterson;David E. Culler;Thomas E. Anderson

  • The RISC-V Instruction Set Manual

    Andrew Waterman;Yunsup Lee;David Patterson;Krste Asanovi

Frequent Co-Authors

Armando Fox
Armando Fox University of California, Berkeley
Randy H. Katz
Randy H. Katz University of California, Berkeley
Krste Asanovic
Krste Asanovic University of California, Berkeley
Thomas Anderson
Thomas Anderson University of Washington
Michael I. Jordan
Michael I. Jordan University of California, Berkeley
John L. Hennessy
John L. Hennessy Stanford University
Garth A. Gibson
Garth A. Gibson Carnegie Mellon University
Katherine Yelick
Katherine Yelick University of California, Berkeley
Peter M. Chen
Peter M. Chen University of Michigan–Ann Arbor
David E. Culler
David E. Culler University of California, Berkeley

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