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.
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