World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
13665
World Ranking
3628
National Ranking
1739

Research.com Recognitions

  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2017 - IEEE Fellow For contributions to high performance computing
  • 2012 - ACM Distinguished Member
  • 2010 - ACM Gordon Bell Prize For "Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures"

Overview

Jeffrey S. Vetter is affiliated with Oak Ridge National Laboratory in the United States. Their research spans several areas within computer science and engineering, focusing extensively on high-performance computing and advanced data storage technologies.

The main fields of study for Jeffrey S. Vetter include:

  • Computer Science
  • Engineering

Subfields in which they have published substantially include:

  • Computer Networks and Communications
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Information Systems

The primary topics of research covered by their work involve:

  • Parallel Computing and Optimization Techniques
  • Advanced Data Storage Technologies
  • Distributed and Parallel Computing Systems
  • Advanced Memory and Neural Computing
  • Cloud Computing and Resource Management
  • Ferroelectric and Negative Capacitance Devices
  • Scientific Computing and Data Management

Jeffrey S. Vetter has coauthored frequently with colleagues such as Aaron Young, Pedro Valero-Lara, Seyong Lee, Narasinga Rao Miniskar, and Prasanna Date.

Their publications have appeared regularly in venues including:

  • arXiv (Cornell University)
  • The International Journal of High Performance Computing Applications
  • IEEE Transactions on Parallel and Distributed Systems
  • 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
  • Computing in Science & Engineering

Recent papers by Jeffrey S. Vetter include:

  • "A survey on processing-in-memory techniques: Advances and challenges" (2022), Memories - Materials Devices Circuits and Systems
  • "Bridging HPC Communities through the Julia Programming Language" (2022), arXiv (Cornell University)
  • "End-to-end online performance data capture and analysis for scientific workflows" (2020), Future Generation Computer Systems
  • "Understanding Performance Portability of Bioinformatics Applications in SYCL on an NVIDIA GPU" (2022), 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  • "Analysis of GPU Data Access Patterns on Complex Geometries for the D3Q19 Lattice Boltzmann Algorithm" (2021), IEEE Transactions on Parallel and Distributed Systems

Awards and recognitions earned by Jeffrey S. Vetter include:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2020
  • IEEE Fellow, 2017, for contributions to high performance computing
  • ACM Distinguished Member, 2012
  • ACM Gordon Bell Prize, 2010, for "Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures"

Best Publications

  • The International Exascale Software Project roadmap

    Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts

  • The Scalable Heterogeneous Computing (SHOC) benchmark suite

    Anthony Danalis;Gabriel Marin;Collin McCurdy;Jeremy S. Meredith

  • An Overview of the BlueGene/L Supercomputer

    N.R. Adiga;G. Almasi;G.S. Almasi;Y. Aridor

  • A Survey of CPU-GPU Heterogeneous Computing Techniques

    Sparsh Mittal;Jeffrey S. Vetter

  • NVIDIA Tensor Core Programmability, Performance & Precision

    Stefano Markidis;Steven Wei Der Chien;Erwin Laure;Ivy Bo Peng

  • Autopilot: adaptive control of distributed applications

    R.L. Ribler;J.S. Vetter;H. Simitci;D.A. Reed

  • A Survey of Software Techniques for Using Non-Volatile Memories for Storage and Main Memory Systems

    Sparsh Mittal;Jeffrey S. Vetter

  • Falcon: on-line monitoring and steering of large-scale parallel programs

    Weiming Gu;G. Eisenhauer;E. Kraemer;K. Schwan

  • A Survey of Methods for Analyzing and Improving GPU Energy Efficiency

    Sparsh Mittal;Jeffrey S. Vetter

  • Communication characteristics of large-scale scientific applications for contemporary cluster architectures

    J. S. Vetter;F. Mueller

  • Dynamic Software Testing of MPI Applications with Umpire

    Jeffrey S. Vetter;Bronis R. de Supinski

  • The future of scientific workflows

    Ewa Deelman;Tom Peterka;Ilkay Altintas;Christopher D. Carothers

  • Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures

    Abtin Rahimian;Ilya Lashuk;Shravan Veerapaneni;Aparna Chandramowlishwaran

  • Statistical scalability analysis of communication operations in distributed applications

    Jeffrey S. Vetter;Michael O. McCracken

  • A Survey Of Architectural Approaches for Managing Embedded DRAM and Non-Volatile On-Chip Caches

    Sparsh Mittal;Jeffrey S. Vetter;Dong Li

  • Memphis: Finding and fixing NUMA-related performance problems on multi-core platforms

    Collin McCurdy;Jeffrey Vetter

  • Keeneland: Bringing Heterogeneous GPU Computing to the Computational Science Community

    J. S. Vetter;R. Glassbrook;J. Dongarra;K. Schwan

  • DESTINY: a tool for modeling emerging 3D NVM and eDRAM caches

    Matt Poremba;Sparsh Mittal;Dong Li;Jeffrey S. Vetter

  • Characterization of Scientific Workloads on Systems with Multi-Core Processors

    Sadaf Alam;Richard Barrett;Jeffery Kuehn;Philip Roth

  • Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

    Jackie Kern;Jeffrey S. Vetter

  • Contemporary High Performance Computing : From Petascale toward Exascale, Volume 3

    Jeffrey S. Vetter

Frequent Co-Authors

Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Karsten Schwan
Karsten Schwan Georgia Institute of Technology
Allen D. Malony
Allen D. Malony University of Oregon
Daniel A. Reed
Daniel A. Reed University of Utah
Xipeng Shen
Xipeng Shen North Carolina State University
Bronis R. de Supinski
Bronis R. de Supinski Lawrence Livermore National Laboratory
Allan Snavely
Allan Snavely University of California, San Diego
Piotr Luszczek
Piotr Luszczek University of Tennessee at Knoxville
John Mellor-Crummey
John Mellor-Crummey Rice University
Ewa Deelman
Ewa Deelman University of Southern California

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 degree options can broaden your career opportunities in computer science and related fields. Many students begin their journey with 2 year online degrees, which offer foundational skills and a fast track to entry-level roles or further study.

For those looking to maximize their earning potential, pursuing one of the most valuable masters degrees can lead to specialized positions and greater advancement. These advanced programs are designed to align with current industry demands.

Affordability is another key factor. Numerous affordable online degree programs help make higher education accessible without overwhelming student debt, ensuring you can invest in your future wisely.

If your academic record is a concern, you can still achieve your goals. There are many college with low gpa options that provide support and opportunities for students seeking a fresh start.

Best Scientists Citing Jeffrey S. Vetter

Trending Scientists