D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 33 Citations 4,554 144 World Ranking 8727 National Ranking 4020

Research.com Recognitions

Awards & Achievements

2006 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Computer network
  • Central processing unit

His main research concerns Message passing, Operating system, Scalability, Distributed computing and Supercomputer. His Message passing study incorporates themes from Redundancy and Queue, Computer cluster, Computer network. His Operating system research is multidisciplinary, incorporating perspectives in Concurrent computing, Systems architecture and Resource management.

The study incorporates disciplines such as Middleware, Virtualization, Real-time computing and Electronic engineering in addition to Scalability. His Silent data corruption study, which is part of a larger body of work in Distributed computing, is frequently linked to Scale, bridging the gap between disciplines. His research integrates issues of Virtual machine, Hardware virtualization, Scheduling and Extreme scale in his study of Supercomputer.

His most cited work include:

  • Evaluating the viability of process replication reliability for exascale systems (192 citations)
  • Detection and correction of silent data corruption for large-scale high-performance computing (180 citations)
  • Characterizing application sensitivity to OS interference using kernel-level noise injection (175 citations)

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

Distributed computing, Operating system, Scalability, Message passing and Parallel computing are his primary areas of study. His Distributed computing study combines topics from a wide range of disciplines, such as Computer network, Intelligent Network and Interface. Supercomputer, System software, Red Storm, Massively parallel and Software are among the areas of Operating system where Ron Brightwell concentrates his study.

His Scalability research includes elements of Layer, Network simulation, Embedded system, Key and Programming paradigm. His research on Message passing also deals with topics like

  • Network interface together with Interconnection,
  • Queue that connect with fields like Queueing theory. His work carried out in the field of Parallel computing brings together such families of science as Semantics and Implementation.

He most often published in these fields:

  • Distributed computing (32.87%)
  • Operating system (30.07%)
  • Scalability (25.87%)

What were the highlights of his more recent work (between 2014-2020)?

  • Operating system (30.07%)
  • Supercomputer (18.18%)
  • Scalability (25.87%)

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

His primary scientific interests are in Operating system, Supercomputer, Scalability, Distributed computing and System software. Ron Brightwell combines subjects such as Resource management, Workflow and Leverage with his study of Operating system. His Supercomputer research is multidisciplinary, relying on both Node, Software, Correctness and Massively parallel.

His study in Scalability is interdisciplinary in nature, drawing from both Remote direct memory access, Concurrency, Instruction set, Asynchronous communication and Programming paradigm. His studies in Distributed computing integrate themes in fields like Exploit, Many core, Real-time computing and Kernel. In System software, he works on issues like Virtualization, which are connected to Software portability, Testbed and Network emulation.

Between 2014 and 2020, his most popular works were:

  • A Tale of Two Systems: Using Containers to Deploy HPC Applications on Supercomputers and Clouds (33 citations)
  • sPIN: High-performance streaming Processing In the Network (31 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
  • Computer network
  • Central processing unit

The scientist’s investigation covers issues in Scalability, Supercomputer, Distributed computing, Multithreading and Remote direct memory access. His Scalability research is included under the broader classification of Operating system. Ron Brightwell has included themes like Virtualization, Real-time computing, Kernel and Software portability in his Supercomputer study.

His Distributed computing research incorporates themes from Synchronization, Instruction set, Asynchronous communication and Benchmark. His Multithreading research includes themes of Parallel computing, Function, Interface and Implementation. His studies deal with areas such as CUDA, Embedded system, Programming paradigm and Network interface controller as well as Remote direct 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.

Best Publications

Evaluating the viability of process replication reliability for exascale systems

Kurt Ferreira;Jon Stearley;James H. Laros;Ron Oldfield.
ieee international conference on high performance computing data and analytics (2011)

331 Citations

Characterizing application sensitivity to OS interference using kernel-level noise injection

Kurt B. Ferreira;Patrick Bridges;Ron Brightwell.
ieee international conference on high performance computing data and analytics (2008)

296 Citations

Detection and correction of silent data corruption for large-scale high-performance computing

David Fiala;Frank Mueller;Christian Engelmann;Rolf Riesen.
ieee international conference on high performance computing data and analytics (2012)

279 Citations

Palacios and Kitten: New high performance operating systems for scalable virtualized and native supercomputing

John Lange;Kevin Pedretti;Trammell Hudson;Peter Dinda.
international parallel and distributed processing symposium (2010)

228 Citations

DOE Advanced Scientific Computing Advisory Subcommittee (ASCAC) Report: Top Ten Exascale Research Challenges

Robert Lucas;James Ang;Keren Bergman;Shekhar Borkar.
(2014)

177 Citations

Software Architecture of the Light Weight Kernel, Catamount

Suzanne M. Kelly;Ron Brightwell.
(2005)

176 Citations

SeaStar Interconnect: Balanced Bandwidth for Scalable Performance

R. Brightwell;K.T. Predretti;K.D. Underwood;T. Hudson.
IEEE Micro (2006)

162 Citations

Massively parallel computing using commodity components

Ron Brightwell;Lee Ann Fisk;David S. Greenberg;Tramm Hudson.
parallel computing (2000)

134 Citations

MPI + MPI: a new hybrid approach to parallel programming with MPI plus shared memory

Torsten Hoefler;James Dinan;Darius Buntinas;Pavan Balaji.
Computing (2013)

131 Citations

Portals 3.0: protocol building blocks for low overhead communication

R. Brightwell;R. Riesen;B. Lawry;A.B. Maccabe.
international parallel and distributed processing symposium (2002)

129 Citations

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