World's Best Scientists 2026 revealed!
Jeremy Kepner

Jeremy Kepner

D-Index & Metrics

Computer Science

D-Index
48
Citations
8260
World Ranking
6225
National Ranking
2787

Overview

Jeremy Kepner is affiliated with MIT in the United States and has a research focus primarily in the field of Computer Science. Their work extensively covers several subfields, including Computer Networks and Communications, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, and Statistical and Nonlinear Physics.

The scientist's research interests and contributions span multiple advanced topics:

  • Distributed and Parallel Computing Systems
  • Distributed systems and fault tolerance
  • Cloud Computing and Resource Management
  • Advanced Data Storage Technologies
  • Network Security and Intrusion Detection
  • Graph Theory and Algorithms
  • Complex Network Analysis Techniques

Jeremy Kepner has a substantial publication record, with frequent appearances in various venues. The most common publication venue is arXiv (Cornell University), with a total of 43 papers. Additional venues include the 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) with two publications, Proceedings of the VLDB Endowment, and Nature Communications with one publication each.

Recent notable papers by Jeremy Kepner include:

  • "DBOS," 2021, Proceedings of the VLDB Endowment
  • "From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference," 2023, arXiv (Cornell University)
  • "Zero Botnets: An Observe-Pursue-Counter Approach," 2022, arXiv (Cornell University)
  • "AI and ML Accelerator Survey and Trends," 2022, arXiv (Cornell University)
  • "AI Data Wrangling with Associative Arrays," 2020, arXiv (Cornell University)

Collaboration is a significant aspect of Kepner's research activities. Frequent coauthors include:

  • Vijay Gadepally (33 joint publications)
  • Hayden Jananthan (28 joint publications)
  • Peter Michaleas (27 joint publications)
  • Albert Reuther (24 joint publications)
  • David Bestor (22 joint publications)

The focus on distributed computing systems, fault tolerance, cloud resource management, and network security aligns with contemporary challenges in scalable computing infrastructures and cybersecurity. Kepner's work engages with the development and analysis of computing architectures, algorithms, and data management techniques to address these domains.

Best Publications

  • Graph Algorithms in the Language of Linear Algebra

    Jeremy Kepner;John Gilbert

  • The HPC Challenge (HPCC) benchmark suite

    Piotr R Luszczek;David H Bailey;Jack J Dongarra;Jeremy Kepner

  • The BigDAWG Polystore System

    Jennie Duggan;Aaron J. Elmore;Michael Stonebraker;Magda Balazinska

  • Survey and Benchmarking of Machine Learning Accelerators

    Albert Reuther;Peter Michaleas;Michael Jones;Vijay Gadepally

  • Interactive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis

    Albert Reuther;Jeremy Kepner;Chansup Byun;Siddharth Samsi

  • Introduction to the HPC Challenge Benchmark Suite

    Piotr Luszczek;Jack J. Dongarra;David Koester;Rolf Rabenseifner

  • Mathematical foundations of the GraphBLAS

    Jeremy Kepner;Peter Aaltonen;David Bader;Aydin Buluc

  • Automatic registration of LIDAR and optical images of urban scenes

    Andrew Mastin;Jeremy Kepner;John Fisher

  • Detecting Clusters of Galaxies in the Sloan Digital Sky Survey I : Monte Carlo Comparison of Cluster Detection Algorithms

    Rita Seung Jung Kim;Rita Seung Jung Kim;Jeremy V. Kepner;Jeremy V. Kepner;Marc Postman;Michael A. Strauss

  • Mathematical Foundations of the GraphBLAS

    Jeremy Kepner;Peter Aaltonen;David Bader;Aydın Buluc

  • Detecting Clusters of Galaxies in the Sloan Digital Sky Survey I : Monte Carlo Comparison of Cluster Detection Algorithms

    Rita S. J. Kim;Jeremy V. Kepner;Marc Postman;Michael A. Strauss

  • Survey of Machine Learning Accelerators

    Albert Reuther;Peter Michaleas;Michael Jones;Vijay Gadepally

  • Parallel MATLAB for Multicore and Multinode Computers

    Jeremy Kepner

  • Dynamic distributed dimensional data model (D4M) database and computation system

    Jeremy Kepner;William Arcand;William Bergeron;Nadya Bliss

  • A demonstration of the BigDAWG polystore system

    A. Elmore;J. Duggan;M. Stonebraker;M. Balazinska

  • Standards for graph algorithm primitives

    Tim Mattson;David Bader;Jon Berry;Aydin Buluc

  • The evolutionary status of the stellar population in the rho Ophiuchi cloud core

    Karen M. Strom;Jeremy Kepner;Stephen E. Strom

  • Scalable system scheduling for HPC and big data

    Albert Reuther;Chansup Byun;William Arcand;David Bestor

  • From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference

    Unknown

  • The BigDAWG polystore system and architecture

    Vijay Gadepally;Peinan Chen;Jennie Duggan;Aaron Elmore

  • pMatlab Parallel Matlab Library

    N. Travinin Bliss;J. Kepner

  • The BigDAWG Polystore System

    Jennie Duggan;Stan Zdonik;Aaron J. Elmore;Michael Stonebraker

Frequent Co-Authors

Michael Jones
Michael Jones Mitsubishi Electric (United States)
Timothy A. Davis
Timothy A. Davis Texas A&M University
Michael A. Strauss
Michael A. Strauss University of Oklahoma
Aydin Buluc
Aydin Buluc Lawrence Berkeley National Laboratory
John R. Gilbert
John R. Gilbert University of California, Santa Barbara
David A. Bader
David A. Bader New Jersey Institute of Technology
Henry Hoffmann
Henry Hoffmann University of Chicago
Neta A. Bahcall
Neta A. Bahcall Princeton University

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 related online degrees can open new doors for students interested in computer science. For example, pursuing an online master’s in electrical engineering degree can provide strong technical skills that complement computer science knowledge and lead to careers in advanced technology or embedded systems.

For those looking to enter the job market quickly, there are easy certifications that pay well. These credentials can help students build specialized skills in a short period, increasing their employment opportunities and potential salaries.

Time and cost are important considerations. Some professionals opt for the quickest cheapest masters degree, allowing them to advance academically without a lengthy commitment or substantial expense. This is especially valuable for those eager to enter the workforce or seeking to upgrade their roles rapidly.

It’s also important to consider the best masters degree to get—programs in high demand, offering strong career prospects and real-world value. Planning your pathway with these options in mind can help boost both your career satisfaction and marketability.

Best Scientists Citing Jeremy Kepner

Trending Scientists

Recently Published Articles