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 59 Citations 16,593 176 World Ranking 1681 National Ranking 940

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Programming language
  • Software

Parallel computing, Supercomputer, Multi-core processor, Grid computing and Distributed computing are his primary areas of study. His work on Cache as part of general Parallel computing research is frequently linked to Sparse matrix, thereby connecting diverse disciplines of science. The study incorporates disciplines such as Dennard scaling, Computer cluster, Scalability, Microprocessor and Benchmark in addition to Supercomputer.

His Microprocessor research focuses on Parallelism and how it connects with Exascale computing. His Multi-core processor research includes themes of Computer architecture and Key. His biological study spans a wide range of topics, including Data type, System software, Data parallelism and Task parallelism.

His most cited work include:

  • The Landscape of Parallel Computing Research: A View from Berkeley (1818 citations)
  • The International Exascale Software Project roadmap (580 citations)
  • Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud (474 citations)

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

His main research concerns Parallel computing, Supercomputer, Distributed computing, Computer architecture and Software. He combines subjects such as Scalability, Computation and Stencil with his study of Parallel computing. His Supercomputer research incorporates themes from Microprocessor, Programming paradigm and Benchmark.

His research in Distributed computing intersects with topics in Visualization and Connectionless communication. John Shalf has researched Visualization in several fields, including Computational science, Adaptive mesh refinement, Computer graphics and Data science. His Computer architecture research is multidisciplinary, relying on both Field-programmable gate array, Embedded system and Efficient energy use.

He most often published in these fields:

  • Parallel computing (27.69%)
  • Supercomputer (20.00%)
  • Distributed computing (15.77%)

What were the highlights of his more recent work (between 2016-2021)?

  • Software (13.46%)
  • Computer architecture (14.62%)
  • Photonics (3.08%)

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

The scientist’s investigation covers issues in Software, Computer architecture, Photonics, Parallel computing and Supercomputer. The Software architecture research John Shalf does as part of his general Software study is frequently linked to other disciplines of science, such as Solid-state, Design space and Reuse, therefore creating a link between diverse domains of science. His Computer architecture study combines topics in areas such as Design space exploration, Efficient energy use, Resource, Field-programmable gate array and Systems architecture.

His studies deal with areas such as Random number generation, Asynchronous communication and Adaptive mesh refinement as well as Parallel computing. His Supercomputer research is multidisciplinary, incorporating elements of Distributed database, Energy consumption, Technology roadmap, Software portability and Data science. In his study, Distributed computing is inextricably linked to Parallel processing, which falls within the broad field of Solid-state drive.

Between 2016 and 2021, his most popular works were:

  • Trends in Data Locality Abstractions for HPC Systems (45 citations)
  • The future of computing beyond Moore's Law. (43 citations)
  • Extreme Heterogeneity 2018 - Productive Computational Science in the Era of Extreme Heterogeneity: Report for DOE ASCR Workshop on Extreme Heterogeneity (25 citations)

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

  • Operating system
  • Programming language
  • Software

John Shalf mostly deals with Scalability, Computation, Distributed computing, Photonics and Computer architecture. His Scalability study integrates concerns from other disciplines, such as Semantics, Instruction set, Fat tree and Encoding. His work deals with themes such as Provisioning, Byte, Logic gate and FLOPS, which intersect with Computation.

Supercomputer is closely connected to Memory hierarchy in his research, which is encompassed under the umbrella topic of Distributed computing. John Shalf focuses mostly in the field of Photonics, narrowing it down to topics relating to Interconnection and, in certain cases, Efficient energy use, Optical switch, Data center, Bandwidth and Latency. John Shalf has included themes like Field-programmable gate array, Circuit switching and Tapering in his Computer architecture study.

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 Landscape of Parallel Computing Research: A View from Berkeley

Krste Asanovic;Ras Bodik;Bryan Christopher Catanzaro;Joseph James Gebis.
(2006)

2734 Citations

Optimization of sparse matrix-vector multiplication on emerging multicore platforms

Samuel Williams;Leonid Oliker;Richard Vuduc;John Shalf.
conference on high performance computing (supercomputing) (2007)

884 Citations

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

Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud

Keith R. Jackson;Lavanya Ramakrishnan;Krishna Muriki;Shane Canon.
ieee international conference on cloud computing technology and science (2010)

752 Citations

Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures

Kaushik Datta;Mark Murphy;Vasily Volkov;Samuel Williams.
ieee international conference on high performance computing data and analytics (2008)

751 Citations

Exascale computing technology challenges

John Shalf;Sudip Dosanjh;John Morrison.
ieee international conference on high performance computing data and analytics (2010)

513 Citations

The potential of the cell processor for scientific computing

Samuel Williams;John Shalf;Leonid Oliker;Shoaib Kamil.
computing frontiers (2006)

490 Citations

The cactus framework and toolkit: design and applications

Tom Goodale;Gabrielle Allen;Gerd Lanfermann;Joan Masso.
ieee international conference on high performance computing data and analytics (2002)

382 Citations

Optimization and Performance Modeling of Stencil Computations on Modern Microprocessors

Kaushik Datta;Shoaib Kamil;Samuel Williams;Leonid Oliker.
Siam Review (2009)

290 Citations

An auto-tuning framework for parallel multicore stencil computations

Shoaib Kamil;Cy Chan;Leonid Oliker;John Shalf.
international parallel and distributed processing symposium (2010)

274 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing John Shalf

Jack Dongarra

Jack Dongarra

University of Tennessee at Knoxville

Publications: 77

Ian Foster

Ian Foster

University of Chicago

Publications: 56

Georg Hager

Georg Hager

University of Erlangen-Nuremberg

Publications: 52

Torsten Hoefler

Torsten Hoefler

ETH Zurich

Publications: 49

Enrique S. Quintana-Ortí

Enrique S. Quintana-Ortí

Universitat Politècnica de València

Publications: 44

Samuel Williams

Samuel Williams

Lawrence Berkeley National Laboratory

Publications: 43

Onur Mutlu

Onur Mutlu

ETH Zurich

Publications: 38

P. Sadayappan

P. Sadayappan

University of Utah

Publications: 36

Jeffrey S. Vetter

Jeffrey S. Vetter

Oak Ridge National Laboratory

Publications: 35

Scott Klasky

Scott Klasky

Oak Ridge National Laboratory

Publications: 33

Kesheng Wu

Kesheng Wu

Lawrence Berkeley National Laboratory

Publications: 33

Keren Bergman

Keren Bergman

Columbia University

Publications: 33

Manish Parashar

Manish Parashar

University of Utah

Publications: 32

David E. Keyes

David E. Keyes

King Abdullah University of Science and Technology

Publications: 31

Kurt Keutzer

Kurt Keutzer

University of California, Berkeley

Publications: 31

Katherine Yelick

Katherine Yelick

Lawrence Berkeley National Laboratory

Publications: 31

Trending Scientists

Junzhou Huang

Junzhou Huang

The University of Texas at Arlington

J. Michael Spector

J. Michael Spector

University of North Texas

Wolfgang Freude

Wolfgang Freude

Karlsruhe Institute of Technology

Xianmin Zhang

Xianmin Zhang

South China University of Technology

Diego J. Ramón

Diego J. Ramón

University of Alicante

Nicolay V. Tsarevsky

Nicolay V. Tsarevsky

Southern Methodist University

Jan W. Verhoeven

Jan W. Verhoeven

University of Amsterdam

Illana Gozes

Illana Gozes

Tel Aviv University

Peter W. Zandstra

Peter W. Zandstra

University of British Columbia

Michael Gilman

Michael Gilman

Arrakis Therapeutics (United States)

Geneviève Albouy

Geneviève Albouy

Allen Institute for Brain Science

Francesca Fallarino

Francesca Fallarino

University of Perugia

James G. Phillips

James G. Phillips

Auckland University of Technology

Marc K. Hellerstein

Marc K. Hellerstein

University of California, Berkeley

Jim Todd

Jim Todd

University of London

Michael Endl

Michael Endl

The University of Texas at Austin

Something went wrong. Please try again later.