World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
20956
World Ranking
3008
National Ranking
1476

Research.com Recognitions

  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

John D. Owens is affiliated with the University of California, Davis, in the United States. Their research primarily spans the field of Computer Science with a focus on various subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Hardware and Architecture, and Computer Graphics and Computer-Aided Design.

Owens has contributed to topics such as Graph Theory and Algorithms, Parallel Computing and Optimization Techniques, Distributed and Parallel Computing Systems, Computer Graphics and Visualization Techniques, Cloud Computing and Resource Management, Interconnection Networks and Systems, and Algorithms and Data Compression.

Their scholarly output includes publications in several noteworthy venues, among them:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • ACM Transactions on Mathematical Software
  • 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
  • Proceedings of the ACM on Computer Graphics and Interactive Techniques

Recent published papers by Owens include:

  • "Energy-based Out-of-distribution Detection," 2020, arXiv (Cornell University)
  • "GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU," 2022, ACM Transactions on Mathematical Software
  • "Energy-based out-of-distribution detection," 2025, eScholarship (California Digital Library)
  • "RXMesh," 2021, ACM Transactions on Graphics
  • "Essentials of Parallel Graph Analytics," 2022, 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

Frequent collaborators of Owens include Serban D. Porumbescu, Ahmed H. Mahmoud, Muhammad A. Awad, Zhongyi Lin, and Louis Feng.

Owens has received recognition from professional organizations, notably being named a Fellow of the American Association for the Advancement of Science (AAAS) in 2020.

Best Publications

  • A Survey of General-Purpose Computation on Graphics Hardware

    John D. Owens;David Luebke;Naga Govindaraju;Mark Harris

  • GPU Computing

    J.D. Owens;M. Houston;D. Luebke;S. Green

  • Memory access scheduling

    Scott Rixner;William J. Dally;Ujval J. Kapasi;Peter Mattson

  • Scan primitives for GPU computing

    Shubhabrata Sengupta;Mark Harris;Yao Zhang;John D. Owens

  • Research Challenges for On-Chip Interconnection Networks

    J.D. Owens;W.J. Dally;R. Ho;D.N. Jayasimha

  • Imagine: media processing with streams

    B. Khailany;W.J. Dally;U.J. Kapasi;P. Mattson

  • Energy-based Out-of-distribution Detection

    Weitang Liu;Xiaoyun Wang;John D. Owens;Yixuan Li

  • Programmable stream processors

    U.J. Kapasi;S. Rixner;W.J. Dally;B. Khailany

  • Register organization for media processing

    S. Rixner;W.J. Dally;B. Khailany;P. Mattson

  • Gunrock: a high-performance graph processing library on the GPU

    Yangzihao Wang;Andrew Davidson;Yuechao Pan;Yuduo Wu

  • GPGPU: general-purpose computation on graphics hardware

    David Luebke;Mark Harris;Naga Govindaraju;Aaron Lefohn

  • A quantitative performance analysis model for GPU architectures

    Yao Zhang;John D. Owens

  • The Imagine Stream Processor

    U.J. Kapasi;W.J. Dally;S. Rixner;J.D. Owens

  • A bandwidth-efficient architecture for media processing

    Scott Rixner;William J. Dally;Ujval J. Kapasi;Brucek Khailany

  • Fast tridiagonal solvers on the GPU

    Yao Zhang;Jonathan Cohen;John D. Owens

  • Multi-GPU MapReduce on GPU Clusters

    Jeff A. Stuart;John D. Owens

  • A study of Persistent Threads style GPU programming for GPGPU workloads

    Kshitij Gupta;Jeff A. Stuart;John D. Owens

  • Real-time parallel hashing on the GPU

    Dan A. Alcantara;Andrei Sharf;Fatemeh Abbasinejad;Shubhabrata Sengupta

  • Mathematical foundations of the GraphBLAS

    Jeremy Kepner;Peter Aaltonen;David Bader;Aydin Buluc

  • Work-Efficient Parallel GPU Methods for Single-Source Shortest Paths

    Andrew Davidson;Sean Baxter;Michael Garland;John D. Owens

  • Glift: Generic, efficient, random-access GPU data structures

    Aaron E. Lefohn;Shubhabrata Sengupta;Joe Kniss;Robert Strzodka

Frequent Co-Authors

William J. Dally
William J. Dally Nvidia (United Kingdom)
Aaron Lefohn
Aaron Lefohn Nvidia (United States)
Scott Rixner
Scott Rixner Rice University
Aydin Buluc
Aydin Buluc Lawrence Berkeley National Laboratory
Brucek Khailany
Brucek Khailany Nvidia (United States)
David Luebke
David Luebke Nvidia (United States)
Chandrajit L. Bajaj
Chandrajit L. Bajaj The University of Texas at Austin
Kenneth I. Joy
Kenneth I. Joy University of California, Davis
Nina Amenta
Nina Amenta University of California, Davis
Naga K. Govindaraju
Naga K. Govindaraju Microsoft (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education options in the USA opens doors to diverse career paths in Computer Science and related fields. For those interested in blending hardware and software expertise, consider reviewing the top online electrical engineering schools. These programs offer flexibility while providing a strong technical foundation.

If you’re looking to quickly boost your credentials and income, there are also easy certifications that pay well. These certifications can enhance your resume and open up entry-level career opportunities without the need for a traditional degree.

For professionals seeking advanced roles or career transitions, pursuing one of the quickest masters degree online can accelerate your learning and position you for promotions in a short span of time.

Still wondering which graduate program leads to the highest return on investment? Learn more about what masters program should i do to discover highly valuable and in-demand degrees that can set your career apart in the technology sector.

Best Scientists Citing John D. Owens

Trending Scientists