Geoffrey Fox
University of Virginia
United States
Editor-in-Chief
Big Data and AI

Frontiers in High Performance Computing is a multidisciplinary journal that covers all aspects of highperformance computing. Led by Field Chief Editor Geoffrey Fox from the University of Virginia, Frontiers in High Pe...
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University of Virginia
United States
Editor-in-Chief
Big Data and AI
Northwestern University
United States
Specialty Chief Editor
HPC Applications
University of A Coruña
Spain
Specialty Chief Editor
Parallel and Distributed Software
Dr Jeyan Thiyagalingam
United Kingdom
Specialty Chief Editor
Benchmarking
Purdue University
United States
Specialty Chief Editor
Cloud Computing
Illinois State University
United States
Associate Editor
Cloud Computing
Berkeley Lab (DOE)
United States
Associate Editor
HPC Applications
Intel (United States)
United States
Associate Editor
Parallel and Distributed Software
103 editors · 0 reviewers
High Performance Computing
Published
Anton Wijs · Muhammad Osama
Frontiers in High Performance Computing
doi 10.3389/fhpcp.2024.1285349
High Performance Computing
Published
Emanuele Carlini · Massimo Coppola · Patrizio Dazzi · Luca Ferrucci · Hanna Kavalionak · Ioannis Korontanis · Matteo Mordacchini · Konstantinos Tserpes
Frontiers in High Performance Computing
doi 10.3389/fhpcp.2023.1164915
High Performance Computing
Published
Gregor von Laszewski · J. P. Fleischer · Robert Knuuti · Geoffrey C. Fox · Jake Kolessar · Thomas S. Butler · Judy Fox
Frontiers in High Performance Computing
doi 10.3389/fhpcp.2023.1233877
High Performance Computing
Published
Karthick Shankar · Ashraf Mahgoub · Zihan Zhou · Utkarsh Priyam · Somali Chaterji
Frontiers in High Performance Computing
doi 10.3389/fhpcp.2023.1127883
High Performance Computing
Published
Lucas Iacono · David Pacios · Jose Luis Vázquez-Poletti
Frontiers in High Performance Computing
doi 10.3389/fhpcp.2023.1151530
High Performance Computing
Published
EmadElDin A. Mazied · Dimitrios S. Nikolopoulos · Yasser Hanafy · Scott F. Midkiff
Frontiers in High Performance Computing
doi 10.3389/fhpcp.2023.1167162
Open for submissions
Open for submissions
Open for submissions
Open for submissions
Open for submissions
Open for submissions
Open for submissions
Frontiers in High Performance Computing is a multidisciplinary journal that covers all aspects of high-performance computing. Led by Field Chief Editor Geoffrey Fox from the University of Virginia, Frontiers in High Performance Computing welcomes research contributions in various domains of high-performance computing, bridging the gap between cutting-edge technology and practical applications. Topics include, but are not limited to: algorithms architecture and systems cloud computing fog and edge computing HPC applications HPC technology HPC with AI high-performance big data systems parallel and distributed systems performance measurement The journal aims to encourage HPC applications enabling AI for Science and Climate Change studies, as it aligns with the Sustainable Development Goals (SDGs) 9: Industry, Innovation, and Infrastructure, and 13: Climate Action. By promoting research in high-performance computing, the journal contributes to building resilient infrastructure, fostering innovation, and supporting sustainable industrialization, as well as mitigating the impacts of climate change. Manuscripts that do not fall within the scope of high-performance computing or its applications are not suitable for publication in this journal. Frontiers in High Performance Computing is dedicated to advancing developments in the field of high-performance computing by providing unrestricted access to articles and communicating scientific knowledge to researchers and the public, enabling future scientific breakthroughs.
Frontiers in High Performance Computing is a multidisciplinary journal that covers all aspects of high-performance computing.
Led by Field Chief Editor Geoffrey Fox from the University of Virginia, Frontiers in High Performance Computing welcomes research contributions in various domains of high-performance computing, bridging the gap between cutting-edge technology and practical applications. Topics include, but are not limited to:
algorithms
architecture and systems
cloud computing
fog and edge computing
HPC applications
HPC technology
HPC with AI
high-performance big data systems
parallel and distributed systems
performance measurement
The journal aims to encourage HPC applications enabling AI for Science and Climate Change studies, as it aligns with the Sustainable Development Goals (SDGs) 9: Industry, Innovation, and Infrastructure, and 13: Climate Action. By promoting research in high-performance computing, the journal contributes to building resilient infrastructure, fostering innovation, and supporting sustainable industrialization, as well as mitigating the impacts of climate change.
Manuscripts that do not fall within the scope of high-performance computing or its applications are not suitable for publication in this journal.
Frontiers in High Performance Computing is dedicated to advancing developments in the field of high-performance computing by providing unrestricted access to articles and communicating scientific knowledge to researchers and the public, enabling future scientific breakthroughs.
Source: https://www.frontiersin.org/journals/high-performance-computing/about
Official section page: https://www.frontiersin.org/journals/high-performance-computing/sections/architecture-and-systems
Official section page: https://www.frontiersin.org/journals/high-performance-computing/sections/benchmarking
Official section page: https://www.frontiersin.org/journals/high-performance-computing/sections/big-data-and-ai
Official section page: https://www.frontiersin.org/journals/high-performance-computing/sections/cloud-computing
Official section page: https://www.frontiersin.org/journals/high-performance-computing/sections/hpc-applications
Official section page: https://www.frontiersin.org/journals/high-performance-computing/sections/parallel-and-distributed-software
Fees are charged only after acceptance. Waivers and discounts are available for authors with limited funding.
Fees and waivers policySource: https://www.frontiersin.org/journals/high-performance-computing/about
Internal metrics, calculated on this platform and maintained by the editorial office.
Source: official publisher page · retrieved 2026-10-16
Some values were updated by the editorial office on 2026-10-23.