World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
58602
World Ranking
10947
National Ranking
4548

Research.com Recognitions

  • 2018 - ACM Fellow For contributions to the design of operating systems and scalable distributed information processing systems

Overview

Paul Barham is affiliated with Google in the United States and has contributed to research primarily in the field of Computer Science. Their work spans multiple subfields including Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, and Hardware and Architecture.

The main topics covered in their research include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Parallel Computing and Optimization Techniques
  • Advanced Data Storage Technologies
  • Distributed and Parallel Computing Systems

Paul Barham's publications have appeared predominantly in arXiv (Cornell University). Some of their recent papers include:

  • "PaLM: Scaling Language Modeling with Pathways" (2022), arXiv (Cornell University)
  • "Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context" (2024), arXiv (Cornell University)
  • "PaLM 2 Technical Report" (2023), arXiv (Cornell University)
  • "Pathways: Asynchronous Distributed Dataflow for ML" (2022), arXiv (Cornell University)

Their frequent coauthors include Aakanksha Chowdhery, Michael Isard, Hyeontaek Lim, Andrew M. Dai, and Érica Rodrigues Moreira. These collaborative relationships indicate a focus on distributed systems and large-scale machine learning.

Paul Barham was recognized as an ACM Fellow in 2018 for contributions to the design of operating systems and scalable distributed information processing systems. This award highlights their role in advancing technologies that support complex, scalable computational infrastructures.

Best Publications

  • TensorFlow: a system for large-scale machine learning

    Martín Abadi;Paul Barham;Jianmin Chen;Zhifeng Chen

  • TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

    Martín Abadi;Ashish Agarwal;Paul Barham;Eugene Brevdo

  • Xen and the art of virtualization

    Paul Barham;Boris Dragovic;Keir Fraser;Steven Hand

  • The multikernel: a new OS architecture for scalable multicore systems

    Andrew Baumann;Paul Barham;Pierre-Evariste Dagand;Tim Harris

  • Naiad: a timely dataflow system

    Derek G. Murray;Frank McSherry;Rebecca Isaacs;Michael Isard

  • Vigilante: end-to-end containment of internet worms

    Manuel Costa;Jon Crowcroft;Miguel Castro;Antony Rowstron

  • Using magpie for request extraction and workload modelling

    Paul Barham;Austin Donnelly;Rebecca Isaacs;Richard Mortier

  • The design and implementation of an operating system to support distributed multimedia applications

    I.M. Leslie;D. McAuley;R. Black;T. Roscoe

  • Distributed asynchronous localization and mapping for augmented reality

    Alexandru Balan;Jason Flaks;Steve Hodges;Michael Isard

  • Magpie: online modelling and performance-aware systems

    Paul Barham;Rebecca Isaacs;Richard Mortier;Dushyanth Narayanan

  • Fast byte-granularity software fault isolation

    Miguel Castro;Manuel Costa;Jean-Philippe Martin;Marcus Peinado

  • An Overview of the Singularity Project

    Galen Hunt;James Larus;Martín Abadi;Mark Aiken

  • Embracing diversity in the Barrelfish manycore operating system

    Adrian Schüpbach;Simon Peter;Andrew Baumann;Timothy Roscoe

  • System and method for controlling network demand via congestion pricing

    Paul Barham;Richard Black;Peter Key;Neil Stratford

  • Dynamic control flow in large-scale machine learning

    Yuan Yu;Martín Abadi;Paul Barham;Eugene Brevdo

  • VEX-virtual extension framework

    Ulfar Us Erlingsson;Edward P. Wobber;Paul Barham;Thomas Roeder

  • Your computer is already a distributed system. why isn't your OS?

    Andrew Baumann;Simon Peter;Adrian Schüpbach;Akhilesh Singhania

  • Distributed network management

    Richard M. Mortier;Paul Barham;Rebecca Isaacs

  • Probe insertion via background virtual machine

    Paul Barham;Joseph N. Figueroa;Jeremiah C. Spradlin

  • Wide Area Audio Synchronisation

    Paul Barham;Richard Black;Ian Pratt

Frequent Co-Authors

Richard Mortier
Richard Mortier University of Cambridge
Michael Isard
Michael Isard Google (United States)
Martín Abadi
Martín Abadi Google (United States)
Timothy Roscoe
Timothy Roscoe ETH Zurich
Moises Goldszmidt
Moises Goldszmidt Apple (United States)
Tim Harris
Tim Harris Oracle (United States)
James R. Larus
James R. Larus École Polytechnique Fédérale de Lausanne
Galen C. Hunt
Galen C. Hunt Microsoft (United States)
Miguel Castro
Miguel Castro Microsoft (United States)
Vijay K. Vasudevan
Vijay K. Vasudevan Google (United States)

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