2026 Bronis R. de Supinski: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	61	3123	3032	1518	1461	247	11909

Research.com Recognitions

2021 - IEEE Fellow For leadership in the design and use of large-scale computing systems
2016 - ACM Senior Member
2006 - ACM Gordon Bell Prize Large-scale Electronic Structure Calculations of High-Z Metals on the BlueGene/L Platform

Overview

Bronis R. de Supinski is affiliated with the Lawrence Livermore National Laboratory in the United States. Their research primarily spans the fields of Computer Science and Engineering, with significant contributions in subfields such as Computer Networks and Communications, Hardware and Architecture, Information Systems, Artificial Intelligence, and Electrical and Electronic Engineering.

The scientist's research interests focus on areas including Parallel Computing and Optimization Techniques, Distributed and Parallel Computing Systems, Cloud Computing and Resource Management, Advanced Data Storage Technologies, Topic Modeling, Software Engineering Research, and Software System Performance and Reliability.

Bronis R. de Supinski has published multiple papers in various venues. Notable recent papers include:

Data-driven global weather predictions at high resolutions, 2021, The International Journal of High Performance Computing Applications
LM4HPC: Towards Effective Language Model Application in High-Performance Computing, 2023, arXiv (Cornell University)
Mitigating Inter-Job Interference via Process-Level Quality-of-Service, 2021, ACM Transactions on Parallel Computing
An analytical performance model of generalized hierarchical scheduling, 2022, The International Journal of High Performance Computing Applications
Performance on HPC Platforms Is Possible Without C++, 2023, Computing in Science & Engineering

The frequent coauthors of Bronis R. de Supinski include Chunhua Liao, Tom Scogland, Jannis Klinkenberg, Brandon Neth, and Pei-Hung Lin.

Frequent publication venues associated with their work feature:

The International Journal of High Performance Computing Applications
arXiv (Cornell University)
ACM Transactions on Parallel Computing
Computing in Science & Engineering
Computer

Bronis R. de Supinski has contributed to book publications with Springer Science+Business Media, including titles such as:

OpenMP: Portable Multi-Level Parallelism on Modern Systems (2020)
OpenMP: Enabling Massive Node-Level Parallelism (2021)
OpenMP in a Modern World: From Multi-device Support to Meta Programming (2022)
OpenMP: Advanced Task-Based, Device and Compiler Programming (2023)

The scientist has received several awards over their career, including:

IEEE Fellow, 2021, for leadership in the design and use of large-scale computing systems
ACM Senior Member, 2016
ACM Gordon Bell Prize, 2006, for large-scale electronic structure calculations of high-Z metals on the BlueGene/L platform

Best Publications

Design, Modeling, and Evaluation of a Scalable Multi-level Checkpointing System

Adam Moody;Greg Bronevetsky;Kathryn Mohror;Bronis R. de Supinski

794
Citations
Terascale direct numerical simulations of turbulent combustion using S3D

J. H. Chen;A. Choudhary;B. De Supinski;M. Devries

721
Citations
Adagio: making DVS practical for complex HPC applications

Barry Rountree;David K. Lownenthal;Bronis R. de Supinski;Martin Schulz

403
Citations
The Spack package manager: bringing order to HPC software chaos

Unknown

385
Citations
Efficiently exploring architectural design spaces via predictive modeling

Engin Ïpek;Sally A. McKee;Rich Caruana;Bronis R. de Supinski

366
Citations
Methods of inference and learning for performance modeling of parallel applications

Benjamin C. Lee;David M. Brooks;Bronis R. de Supinski;Martin Schulz

277
Citations
Dynamic Software Testing of MPI Applications with Umpire

Jeffrey S. Vetter;Bronis R. de Supinski

246
Citations
Prediction models for multi-dimensional power-performance optimization on many cores

Matthew Curtis-Maury;Ankur Shah;Filip Blagojevic;Dimitrios S. Nikolopoulos

242
Citations
A regression-based approach to scalability prediction

Bradley J. Barnes;Barry Rountree;David K. Lowenthal;Jaxk Reeves

241
Citations
An approach to performance prediction for parallel applications

Engin Ipek;Bronis R. de Supinski;Martin Schulz;Sally A. McKee

238
Citations
Beyond DVFS: A First Look at Performance under a Hardware-Enforced Power Bound

Barry Rountree;Dong H. Ahn;Bronis R. de Supinski;David K. Lowenthal

226
Citations
Bounding energy consumption in large-scale MPI programs

Barry Rountree;David K. Lowenthal;Shelby Funk;Vincent W. Freeh

225
Citations
Soft error vulnerability of iterative linear algebra methods

Greg Bronevetsky;Bronis de Supinski

220
Citations
Exploring hardware overprovisioning in power-constrained, high performance computing

Tapasya Patki;David K. Lowenthal;Barry Rountree;Martin Schulz

216
Citations
Stack Trace Analysis for Large Scale Debugging

D.C. Arnold;D.H. Ahn;B.R. de Supinski;G.L. Lee

200
Citations
The Design, Deployment, and Evaluation of the CORAL Pre-Exascale Systems

Unknown

198
Citations
Hybrid MPI/OpenMP power-aware computing

Dong Li;Bronis R de Supinski;Martin Schulz;Kirk Cameron

195
Citations
ScalaTrace: Scalable compression and replay of communication traces for high-performance computing

Michael Noeth;Prasun Ratn;Frank Mueller;Martin Schulz

172
Citations
Big data and extreme-scale computing: Pathways to Convergence-Toward a shaping strategy for a future software and data ecosystem for scientific inquiry

M. Asch;T. Moore;R. Badia;M. Beck

151
Citations
Openmp Shared Memory Parallel Programming

Matthias S. Mueller;Barbara M. Chapman;Bronis R. de Supinski;Allen D. Malony

145
Citations
Automatically adapting programs for mixed-precision floating-point computation

Michael O. Lam;Jeffrey K. Hollingsworth;Bronis R. de Supinski;Matthew P. Legendre

143
Citations
Design and modeling of a non-blocking checkpointing system

K. Sato;K. Mohror;Adam Moody;T. Gamblin

137
Citations
Optimizing power allocation to CPU and memory subsystems in overprovisioned HPC systems

Osman Sarood;Akhil Langer;Laxmikant Kale;Barry Rountree

130
Citations

Frequent Co-Authors

Martin Schulz Technical University of Munich

Sally A. McKee Chalmers University of Technology

Barbara Chapman Stony Brook University

Frank Mueller North Carolina State University

Dimitrios S. Nikolopoulos Virginia Tech

Jeffrey S. Vetter Oak Ridge National Laboratory

Karan Singh University of Toronto

Eduard Ayguadé Barcelona Supercomputing Center

Barton P. Miller University of Wisconsin–Madison

Saurabh Bagchi Purdue University West Lafayette

External Links

Personal website of Bronis R. de Supinski Google Scholar page

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