World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
16388
World Ranking
2887
National Ranking
1420

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions to high-performance computing, fault tolerance, and grid-based computing

Overview

Franck Cappello is affiliated with Argonne National Laboratory in the United States. Their research predominantly lies within the field of Computer Science, with a total of 161 publications. The subfields they focus on include Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture, Computer Vision and Pattern Recognition, and Information Systems and Management.

The main topics explored in their work encompass Advanced Data Storage Technologies, Parallel Computing and Optimization Techniques, Algorithms and Data Compression, Distributed and Parallel Computing Systems, Advanced Data Compression Techniques, Scientific Computing and Data Management, and Image and Signal Denoising Methods.

Franck Cappello's recent publications include the following papers:

  • "SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors," 2022, published in IEEE Transactions on Big Data
  • "Algorithm-Based Fault Tolerance for Convolutional Neural Networks," 2020, published in IEEE Transactions on Parallel and Distributed Systems
  • "Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling," 2022, published in 2022 IEEE 38th International Conference on Data Engineering (ICDE)
  • "Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data," 2022, published in Proceedings of the VLDB Endowment
  • "High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation," 2024, published in Proceedings of the ACM on Management of Data

The scientist frequently collaborates with several co-authors, among whom notable ones include:

  • Sheng Di (46 collaborations)
  • Kai Zhao (29 collaborations)
  • Dingwen Tao (25 collaborations)
  • Xin Liang (24 collaborations)
  • Robert Underwood (20 collaborations)

Franck Cappello's research has been disseminated in numerous publication venues. They have a significant number of works published in arXiv (Cornell University) with 44 publications, followed by IEEE Transactions on Parallel and Distributed Systems with 5 publications. Other frequent venues include The International Journal of High Performance Computing Applications (4 publications), Proceedings of the ACM on Management of Data (2 publications), and the 2022 IEEE 38th International Conference on Data Engineering (ICDE) (2 publications).

In recognition of their contributions within the scientific community, Franck Cappello was named an IEEE Fellow in 2017 for their work related to high-performance computing, fault tolerance, and grid-based computing.

Best Publications

  • The International Exascale Software Project roadmap

    Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts

  • Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed

    Raphaël Bolze;Franck Cappello;Eddy Caron;Michel Daydé

  • XtremWeb: a generic global computing system

    G. Fedak;C. Germain;V. Neri;F. Cappello

  • Cost-benefit analysis of Cloud Computing versus desktop grids

    Derrick Kondo;Bahman Javadi;Paul Malecot;Franck Cappello

  • Addressing failures in exascale computing

    Marc Snir;Robert W Wisniewski;Jacob A Abraham;Sarita V Adve

  • MPICH-V: Toward a Scalable Fault Tolerant MPI for Volatile Nodes

    George Bosilca;Aurelien Bouteiller;Franck Cappello;Samir Djilali

  • Fast Error-Bounded Lossy HPC Data Compression with SZ

    Sheng Di;Franck Cappello

  • Toward Exascale Resilience

    Franck Cappello;Al Geist;Bill Gropp;Laxmikant Kale

  • FTI: high performance fault tolerance interface for hybrid systems

    Leonardo Bautista-Gomez;Seiji Tsuboi;Dimitri Komatitsch;Franck Cappello

  • Toward Exascale Resilience: 2014 Update

    Franck Cappello;Geist Al;William Gropp;Sanjay Kale

  • Computing on large-scale distributed systems: Xtrem Web architecture, programming models, security, tests and convergence with grid

    Franck Cappello;Samir Djilali;Gilles Fedak;Thomas Herault

  • MPI versus MPI+OpenMP on the IBM SP for the NAS Benchmarks

    Franck Cappello;Daniel Etiemble

  • Grid'5000: A Large Scale and Highly Reconfigurable Grid Experimental Testbed

    F. Cappello;E. Caron;M. Dayde;F. Desprez

  • Fault Tolerance in Petascale/ Exascale Systems: Current Knowledge, Challenges and Research Opportunities

    Franck Cappello

  • Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization

    Dingwen Tao;Sheng Di;Zizhong Chen;Franck Cappello;Franck Cappello

  • MPICH-V2: a Fault Tolerant MPI for Volatile Nodes based on Pessimistic Sender Based Message Logging

    Aurélien Bouteiller;Franck Cappello;Thomas Herault;Géraud Krawezik

  • Grid'5000: a large scale, reconfigurable, controlable and monitorable Grid platform

    Franck Cappello;Frédéric Desprez;Michel Dayde;Emmanuel Jeannot

  • Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets

    Xin Liang;Sheng Di;Dingwen Tao;Sihuan Li

  • MPICH-V Project: A Multiprotocol Automatic Fault-Tolerant MPI

    A. Bouteiller;T. Herault;G. Krawezik;P. Lemarinier

  • Uncoordinated Checkpointing Without Domino Effect for Send-Deterministic MPI Applications

    Amina Guermouche;Thomas Ropars;Elisabeth Brunet;Marc Snir

Frequent Co-Authors

Thomas Herault
Thomas Herault University of Tennessee at Knoxville
Marc Snir
Marc Snir University of Illinois at Urbana-Champaign
Yves Robert
Yves Robert École Normale Supérieure de Lyon
Derrick Kondo
Derrick Kondo French Institute for Research in Computer Science and Automation - INRIA
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Jesús Labarta
Jesús Labarta Barcelona Supercomputing Center
George Bosilca
George Bosilca University of Tennessee at Knoxville
Frederic T. Chong
Frederic T. Chong University of Chicago
Henri Casanova
Henri Casanova University of Hawaii at Manoa

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

Studying Computer Science in the USA opens doors to diverse career opportunities, and there are a range of related online degree programs that can help students specialize or advance their careers. For those interested in big data or analytics, pursuing an online masters in data science can provide in-demand skills for roles in tech, finance, healthcare, and beyond.

Technology management in fields such as construction also offers promising prospects. An online degree for construction management offers rapid entry into a sector increasingly reliant on digital tools and project management expertise.

For those seeking leadership roles, mba programs with flexible online formats can complement a tech background and prepare graduates for managerial and strategic positions.

If you’re looking to fast-track your education, there are also 1 year online masters offerings that allow you to quickly gain advanced credentials and re-enter the workforce sooner.

Best Scientists Citing Franck Cappello

Trending Scientists

Recently Published Articles