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 54 Citations 10,822 219 World Ranking 2350 National Ranking 1271

Research.com Recognitions

Awards & Achievements

2020 - Fellow of the American Association for the Advancement of Science (AAAS)

2017 - IEEE Fellow For contributions to high performance computing

2012 - ACM Distinguished Member

2010 - ACM Gordon Bell Prize For "Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures"

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Programming language
  • Central processing unit

Jeffrey S. Vetter mainly focuses on Supercomputer, Parallel computing, Scalability, Computer architecture and Distributed computing. His Supercomputer research integrates issues from Concurrent computing, Computational science, Software, Software engineering and Measure. His Parallel computing study integrates concerns from other disciplines, such as State and Hardware architecture.

Jeffrey S. Vetter has researched Computer architecture in several fields, including Computation and General-purpose computing on graphics processing units. He has included themes like Instrumentation and Application software in his Distributed computing study. The study incorporates disciplines such as Symmetric multiprocessor system, Petascale computing and Efficient energy use in addition to CUDA.

His most cited work include:

  • The International Exascale Software Project roadmap (580 citations)
  • An Overview of the BlueGene/L Supercomputer (498 citations)
  • The Scalable Heterogeneous Computing (SHOC) benchmark suite (485 citations)

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

His primary scientific interests are in Parallel computing, Supercomputer, Scalability, Distributed computing and Computer architecture. His study in Parallel computing is interdisciplinary in nature, drawing from both Programming paradigm and General-purpose computing on graphics processing units. His study on Supercomputer is mostly dedicated to connecting different topics, such as Computational science.

Jeffrey S. Vetter combines subjects such as Network topology and Software with his study of Scalability. His work deals with themes such as Symmetric multiprocessor system, Field-programmable gate array, Reconfigurable computing and Multi-core processor, which intersect with Computer architecture. His CUDA research is multidisciplinary, incorporating elements of Programming language and Compiler.

He most often published in these fields:

  • Parallel computing (28.32%)
  • Supercomputer (19.00%)
  • Scalability (19.00%)

What were the highlights of his more recent work (between 2015-2021)?

  • Parallel computing (28.32%)
  • Embedded system (12.54%)
  • Non-volatile memory (8.24%)

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

His primary areas of investigation include Parallel computing, Embedded system, Non-volatile memory, Software portability and Distributed computing. Jeffrey S. Vetter has researched Parallel computing in several fields, including Overhead and Graphics. His Non-volatile memory study incorporates themes from Supercomputer, Operating system, Cache and Memory management.

His Software portability research incorporates themes from Computer architecture, Benchmark, Field-programmable gate array, Efficient energy use and Programming paradigm. In most of his Computer architecture studies, his work intersects topics such as Scalability. Jeffrey S. Vetter has included themes like Thread and Design space exploration in his Distributed computing study.

Between 2015 and 2021, his most popular works were:

  • A Survey of Software Techniques for Using Non-Volatile Memories for Storage and Main Memory Systems (154 citations)
  • NVIDIA Tensor Core Programmability, Performance & Precision (108 citations)
  • A Survey Of Architectural Approaches for Data Compression in Cache and Main Memory Systems (69 citations)

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

  • Operating system
  • Central processing unit
  • Programming language

Jeffrey S. Vetter focuses on Non-volatile memory, Memory management, Parallel computing, Embedded system and Workflow. His study in Memory management is interdisciplinary in nature, drawing from both Dram and Computer architecture. His Computer architecture research is multidisciplinary, relying on both Random access memory, Multi-core processor, Operating system and Cache capacity.

The study incorporates disciplines such as Data access and Overhead in addition to Parallel computing. His studies deal with areas such as Supercomputer, Racetrack memory, Magnetoresistive random-access memory, Computer memory and Non-volatile random-access memory as well as Embedded system. In his research on the topic of Supercomputer, CUDA is strongly related with Terabyte.

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

The Scalable Heterogeneous Computing (SHOC) benchmark suite

Anthony Danalis;Gabriel Marin;Collin McCurdy;Jeremy S. Meredith.
Proceedings of the 3rd Workshop on General-Purpose Computation on Graphics Processing Units (2010)

706 Citations

An Overview of the BlueGene/L Supercomputer

N.R. Adiga;G. Almasi;G.S. Almasi;Y. Aridor.
conference on high performance computing (supercomputing) (2002)

674 Citations

A Survey of CPU-GPU Heterogeneous Computing Techniques

Sparsh Mittal;Jeffrey S. Vetter.
ACM Computing Surveys (2015)

429 Citations

Autopilot: adaptive control of distributed applications

R.L. Ribler;J.S. Vetter;H. Simitci;D.A. Reed.
high performance distributed computing (1998)

403 Citations

Falcon: on-line monitoring and steering of large-scale parallel programs

Weiming Gu;G. Eisenhauer;E. Kraemer;K. Schwan.
symposium on frontiers of massively parallel computation (1995)

319 Citations

Communication characteristics of large-scale scientific applications for contemporary cluster architectures

J. S. Vetter;F. Mueller.
international parallel and distributed processing symposium (2002)

265 Citations

A Survey of Software Techniques for Using Non-Volatile Memories for Storage and Main Memory Systems

Sparsh Mittal;Jeffrey S. Vetter.
IEEE Transactions on Parallel and Distributed Systems (2016)

253 Citations

Dynamic Software Testing of MPI Applications with Umpire

Jeffrey S. Vetter;Bronis R. de Supinski.
conference on high performance computing (supercomputing) (2000)

242 Citations

Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures

Abtin Rahimian;Ilya Lashuk;Shravan Veerapaneni;Aparna Chandramowlishwaran.
ieee international conference on high performance computing data and analytics (2010)

198 Citations

Best Scientists Citing Jeffrey S. Vetter

Jack Dongarra

Jack Dongarra

University of Tennessee at Knoxville

Publications: 74

Karsten Schwan

Karsten Schwan

Georgia Institute of Technology

Publications: 57

Martin Schulz

Martin Schulz

Technical University of Munich

Publications: 52

Frank Mueller

Frank Mueller

North Carolina State University

Publications: 49

Dhabaleswar K. Panda

Dhabaleswar K. Panda

The Ohio State University

Publications: 45

Torsten Hoefler

Torsten Hoefler

ETH Zurich

Publications: 42

Allen D. Malony

Allen D. Malony

University of Oregon

Publications: 40

Wu-chun Feng

Wu-chun Feng

Virginia Tech

Publications: 34

Bronis R. de Supinski

Bronis R. de Supinski

Lawrence Livermore National Laboratory

Publications: 33

José E. Moreira

José E. Moreira

IBM (United States)

Publications: 31

Jesús Labarta

Jesús Labarta

Barcelona Supercomputing Center

Publications: 29

Enrique S. Quintana-Ortí

Enrique S. Quintana-Ortí

Universitat Politècnica de València

Publications: 27

Robert Ross

Robert Ross

Argonne National Laboratory

Publications: 27

William Gropp

William Gropp

University of Illinois at Urbana-Champaign

Publications: 27

Laxmikant V. Kale

Laxmikant V. Kale

University of Illinois at Urbana-Champaign

Publications: 26

Scott Klasky

Scott Klasky

Oak Ridge National Laboratory

Publications: 26

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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