H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 80 Citations 39,348 338 World Ranking 427 National Ranking 251

Research.com Recognitions

Awards & Achievements

2018 - Fellow of the American Association for the Advancement of Science (AAAS)

2016 - ACM - IEEE CS Ken Kennedy Award For highly influential contributions to the programmability of high-performance parallel and distributed computers, and extraordinary service to the profession.

2015 - SIAM/ACM Prize in Computational Science and Engineering The PETSc Core Development Team: Satish Balay, Jed Brown, William Gropp, Matthew Knepley, Lois Curfman McInnes, Barry Smith, and Hong Zhang

2011 - SIAM Fellow For contributions to algorithms and software for high performance scientific computing, including the development of MPI.

2010 - IEEE Fellow For contributions to high performance computing and message passing

2010 - Member of the National Academy of Engineering For contributions to numerical software in the area of linear algebra and high-performance parallel and distributed computation.

2006 - ACM Fellow For contributions to message passing protocols.

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Programming language
  • Parallel computing

His primary scientific interests are in Parallel computing, Operating system, Message Passing Interface, Message passing and Scalability. His Parallel computing research integrates issues from Computer cluster, Partial differential equation, Computational science, Software and Solver. William Gropp combines subjects such as Data transmission and Parallel processing with his study of Operating system.

His Message Passing Interface research is multidisciplinary, relying on both Implementation, Volume, Interface and Fortran. Particularly relevant to MPICH is his body of work in Message passing. His Scalability course of study focuses on Programming language and Visualization.

His most cited work include:

  • Using MPI: Portable Parallel Programming with the Message-Passing Interface (2599 citations)
  • PETSc Users Manual (1988 citations)
  • A high-performance, portable implementation of the MPI message passing interface standard (1956 citations)

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

William Gropp focuses on Parallel computing, Distributed computing, Message Passing Interface, Operating system and Message passing. William Gropp has included themes like Scalability, Software portability, Programming paradigm and Implementation in his Parallel computing study. His studies deal with areas such as Intel Paragon and Subroutine as well as Software portability.

His Distributed computing study combines topics in areas such as Data-intensive computing, Supercomputer and Multi-core processor. His Message Passing Interface research includes themes of Semantics and Interface. His MPICH research extends to Operating system, which is thematically connected.

He most often published in these fields:

  • Parallel computing (41.60%)
  • Distributed computing (21.93%)
  • Message Passing Interface (15.37%)

What were the highlights of his more recent work (between 2013-2020)?

  • Parallel computing (41.60%)
  • Distributed computing (21.93%)
  • Scalability (15.16%)

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

His scientific interests lie mostly in Parallel computing, Distributed computing, Scalability, Supercomputer and Interface. His study in Parallel computing is interdisciplinary in nature, drawing from both Sparse matrix-vector multiplication, Sparse matrix, Process, Fortran and Node. He has researched Distributed computing in several fields, including Data modeling, Bottleneck and Operating system.

His work on Metadata as part of general Operating system research is frequently linked to Cloud storage, thereby connecting diverse disciplines of science. His research integrates issues of Computation, Astrophysics, Deep learning, Key and Remote memory access in his study of Scalability. As a part of the same scientific family, William Gropp mostly works in the field of Interface, focusing on Message Passing Interface and, on occasion, Semantics.

Between 2013 and 2020, his most popular works were:

  • PETSc Users Manual (1988 citations)
  • CFD Vision 2030 Study: A Path to Revolutionary Computational Aerosciences (219 citations)
  • Toward Exascale Resilience: 2014 Update (192 citations)

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

  • Operating system
  • Programming language
  • Computer network

His primary areas of investigation include Parallel computing, Scalability, Distributed computing, Message Passing Interface and Computational science. William Gropp works in the field of Parallel computing, focusing on Runtime system in particular. His Scalability research is multidisciplinary, incorporating perspectives in Astrophysics, CUDA, Artificial intelligence, Key and Data structure.

His study in Distributed computing is interdisciplinary in nature, drawing from both Rate-monotonic scheduling, Dynamic priority scheduling, Fixed-priority pre-emptive scheduling, Fair-share scheduling and Scheduling. William Gropp has included themes like Semantics and Interface in his Message Passing Interface study. His research in Interface intersects with topics in Synchronization, Operating system and Remote memory access.

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.

Top Publications

Using MPI: Portable Parallel Programming with the Message-Passing Interface

William Gropp;Ewing Lusk;Anthony Skjellum.
(1994)

5872 Citations

A high-performance, portable implementation of the MPI message passing interface standard

William Gropp;Ewing Lusk;Nathan Doss;Anthony Skjellum.
parallel computing (1996)

3075 Citations

Domain Decomposition: Parallel Multilevel Methods for Elliptic Partial Differential Equations

Barry F. Smith;Petter E. Bjørstad;William D. Gropp.
(1996)

2849 Citations

Efficient management of parallelism in object-oriented numerical software libraries

Satish Balay;William D. Gropp;Lois Curfman McInnes;Barry F. Smith.
Modern software tools for scientific computing (1997)

2119 Citations

Skjellum using mpi: portable parallel programming with the message-passing interface

William D. Gropp;Ewing L. Lusk.
(1994)

1609 Citations

Using MPI-2: Advanced Features of the Message Passing Interface

William Gropp;Ewing Lusk;Rajeev Thakur.
(1999)

874 Citations

Optimization of Collective Communication Operations in MPICH

Rajeev Thakur;Rolf Rabenseifner;William Gropp.
ieee international conference on high performance computing data and analytics (2005)

747 Citations

Sourcebook of parallel computing

Jack Dongarra;Ian Foster;Geoffrey Fox;William Gropp.
(2003)

644 Citations

Data sieving and collective I/O in ROMIO

R. Thakur;W. Gropp;W. Gropp;E. Lusk.
symposium on frontiers of massively parallel computation (1999)

634 Citations

On implementing MPI-IO portably and with high performance

Rajeev Thakur;William Gropp;Ewing Lusk.
workshop on i/o in parallel and distributed systems (1999)

463 Citations

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

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