D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 50 Citations 12,456 211 World Ranking 2944 National Ranking 1572

Research.com Recognitions

Awards & Achievements

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Central processing unit
  • Computer network

His scientific interests lie mostly in Distributed computing, Fault tolerance, Message passing, Operating system and Supercomputer. Franck Cappello has included themes like Testbed, The Internet and Embedded system in his Distributed computing study. The various areas that Franck Cappello examines in his Fault tolerance study include Petascale computing, Scalability, Overhead, Resilience and Parallel computing.

His Message passing research is multidisciplinary, incorporating elements of Concurrent computing, Computer network and Programming paradigm. His biological study focuses on Cloud computing. Franck Cappello is interested in Exascale computing, which is a field of Supercomputer.

His most cited work include:

  • The International Exascale Software Project roadmap (580 citations)
  • Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed (395 citations)
  • XtremWeb: a generic global computing system (338 citations)

What are the main themes of his work throughout his whole career to date?

Franck Cappello focuses on Distributed computing, Fault tolerance, Lossy compression, Parallel computing and Supercomputer. The concepts of his Distributed computing study are interwoven with issues in Scalability, Cloud computing and Operating system. His research investigates the link between Cloud computing and topics such as Virtual machine that cross with problems in Virtualization.

Franck Cappello studied Fault tolerance and Overhead that intersect with Silent data corruption. His research in Lossy compression intersects with topics in Algorithm, Lossless compression, Data compression, Computational science and Volume. As part of his studies on Parallel computing, he often connects relevant subjects like Programming paradigm.

He most often published in these fields:

  • Distributed computing (36.43%)
  • Fault tolerance (27.88%)
  • Lossy compression (24.91%)

What were the highlights of his more recent work (between 2017-2021)?

  • Lossy compression (24.91%)
  • Algorithm (13.01%)
  • Overhead (14.13%)

In recent papers he was focusing on the following fields of study:

Lossy compression, Algorithm, Overhead, Computational science and Volume are his primary areas of study. His Lossy compression study combines topics from a wide range of disciplines, such as Lossless compression, Data compression, Distortion and Computer engineering. His work on Quantization, Quantization and Decoding methods as part of general Algorithm study is frequently linked to Compression ratio, therefore connecting diverse disciplines of science.

The Overhead study combines topics in areas such as Fault tolerance, Distributed computing, Parallel computing, Error detection and correction and Sorting algorithm. Franck Cappello integrates several fields in his works, including Distributed computing and Context. As a part of the same scientific family, Franck Cappello mostly works in the field of Reduction, focusing on Bandwidth and, on occasion, Supercomputer.

Between 2017 and 2021, his most popular works were:

  • Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets (62 citations)
  • Big data and extreme-scale computing: Pathways to Convergence-Toward a shaping strategy for a future software and data ecosystem for scientific inquiry (53 citations)
  • Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP (29 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Central processing unit
  • Computer network

His primary areas of study are Lossy compression, Computational science, Algorithm, Overhead and Fault tolerance. His studies deal with areas such as Upper and lower bounds, Data compression, Distortion and Volume as well as Lossy compression. As a member of one scientific family, Franck Cappello mostly works in the field of Algorithm, focusing on Pointwise and, on occasion, Quantization.

His Overhead research integrates issues from Distributed computing, Deep learning, Artificial intelligence, Asynchronous communication and Blocking. His Distributed computing study focuses on Parallel I/O in particular. His research integrates issues of Linear system, Parallel computing, Iterative method and Statistics, Propagation of uncertainty in his study of Fault tolerance.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

The International Exascale Software Project roadmap

Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts.
ieee international conference on high performance computing data and analytics (2011)

802 Citations

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

Raphaël Bolze;Franck Cappello;Eddy Caron;Michel Daydé.
ieee international conference on high performance computing data and analytics (2006)

658 Citations

XtremWeb: a generic global computing system

G. Fedak;C. Germain;V. Neri;F. Cappello.
cluster computing and the grid (2001)

566 Citations

Cost-benefit analysis of Cloud Computing versus desktop grids

Derrick Kondo;Bahman Javadi;Paul Malecot;Franck Cappello.
international parallel and distributed processing symposium (2009)

509 Citations

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

George Bosilca;Aurelien Bouteiller;Franck Cappello;Samir Djilali.
conference on high performance computing (supercomputing) (2002)

479 Citations

Toward Exascale Resilience

Franck Cappello;Al Geist;Bill Gropp;Laxmikant Kale.
ieee international conference on high performance computing data and analytics (2009)

461 Citations

Addressing failures in exascale computing

Marc Snir;Robert W Wisniewski;Jacob A Abraham;Sarita V Adve.
ieee international conference on high performance computing data and analytics (2014)

411 Citations

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

Franck Cappello;Daniel Etiemble.
conference on high performance computing (supercomputing) (2000)

381 Citations

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.
Future Generation Computer Systems (2005)

370 Citations

Toward Exascale Resilience: 2014 Update

Franck Cappello;Geist Al;William Gropp;Sanjay Kale.
Supercomputing Frontiers and Innovations: an International Journal archive (2014)

333 Citations

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Best Scientists Citing Franck Cappello

Yves Robert

Yves Robert

École Normale Supérieure de Lyon

Publications: 76

Jack Dongarra

Jack Dongarra

University of Tennessee at Knoxville

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Rajkumar Buyya

Rajkumar Buyya

University of Melbourne

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George Bosilca

George Bosilca

University of Tennessee at Knoxville

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Andrew A. Chien

Andrew A. Chien

University of Chicago

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Ian Foster

Ian Foster

University of Chicago

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Alexandru Iosup

Alexandru Iosup

Vrije Universiteit Amsterdam

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Enrique S. Quintana-Ortí

Enrique S. Quintana-Ortí

Universitat Politècnica de València

Publications: 28

Frank Mueller

Frank Mueller

North Carolina State University

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Manish Parashar

Manish Parashar

University of Utah

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Péter Kacsuk

Péter Kacsuk

MTA SZTAKI Laboratory of Parallel and Distributed Systems

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Jeffrey S. Vetter

Jeffrey S. Vetter

Oak Ridge National Laboratory

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Dhabaleswar K. Panda

Dhabaleswar K. Panda

The Ohio State University

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Hai Jin

Hai Jin

Huazhong University of Science and Technology

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Laxmikant V. Kale

Laxmikant V. Kale

University of Illinois at Urbana-Champaign

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Henri Casanova

Henri Casanova

University of Hawaii at Manoa

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