H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 65 Citations 35,588 328 World Ranking 1168 National Ranking 681

Research.com Recognitions

Awards & Achievements

2017 - ACM Fellow For development of new parallel programming techniques and their deployment in high performance computing applications

2011 - IEEE Fellow For development of parallel programming techniques

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Programming language
  • Parallel computing

Laxmikant V. Kale focuses on Parallel computing, Scalability, Load balancing, Distributed computing and Runtime system. He combines subjects such as Scheme, Object-oriented programming, Polygon mesh and Charm with his study of Parallel computing. His Scalability research includes themes of Computational complexity theory, Computational science, Workstation clusters, Interoperability and Massively parallel.

His work focuses on many connections between Computational science and other disciplines, such as Molecular graphics, that overlap with his field of interest in Tree, File format, Scripting language and Software design. His Load balancing study integrates concerns from other disciplines, such as Computation and Resource allocation. His studies deal with areas such as Supercomputer, Distributed memory and Dynamic priority scheduling as well as Distributed computing.

His most cited work include:

  • Scalable molecular dynamics with NAMD (11850 citations)
  • NAMD2: Greater Scalability for Parallel Molecular Dynamics (1962 citations)
  • CHARM++: a portable concurrent object oriented system based on C++ (763 citations)

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

His primary areas of study are Parallel computing, Distributed computing, Scalability, Load balancing and Runtime system. His work is dedicated to discovering how Parallel computing, Programming paradigm are connected with Object and other disciplines. The study incorporates disciplines such as Network topology, Supercomputer and Resource allocation in addition to Distributed computing.

The Scalability study combines topics in areas such as IBM and Computational science. His work on Network Load Balancing Services as part of general Load balancing research is frequently linked to Load management and Dynamic load testing, bridging the gap between disciplines. His Runtime system study frequently draws connections to adjacent fields such as Component.

He most often published in these fields:

  • Parallel computing (48.69%)
  • Distributed computing (35.15%)
  • Scalability (16.86%)

What were the highlights of his more recent work (between 2014-2021)?

  • Distributed computing (35.15%)
  • Parallel computing (48.69%)
  • Scalability (16.86%)

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

Laxmikant V. Kale spends much of his time researching Distributed computing, Parallel computing, Scalability, Load balancing and Runtime system. His Distributed computing study combines topics in areas such as Network topology, Supercomputer, Resource allocation and Programming paradigm. The concepts of his Parallel computing study are interwoven with issues in Extended memory, Overlay, Embedded system and Charm.

Laxmikant V. Kale has researched Scalability in several fields, including Computational science, IBM, Source code, Parallel programming model and Speedup. His Computational science research is multidisciplinary, incorporating perspectives in Software and Computation. His Runtime system research is multidisciplinary, relying on both Power management and Asynchronous communication.

Between 2014 and 2021, his most popular works were:

  • Scalable molecular dynamics on CPU and GPU architectures with NAMD. (122 citations)
  • Adaptive techniques for clustered N-body cosmological simulations (85 citations)
  • Evaluating and Improving the Performance and Scheduling of HPC Applications in Cloud (54 citations)

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

  • Operating system
  • Programming language
  • Central processing unit

Distributed computing, Parallel computing, Scalability, Load balancing and Network topology are his primary areas of study. His Distributed computing research integrates issues from Job scheduler, Scheduling, Resource allocation and Programming paradigm. His Parallel computing study incorporates themes from Embedded system, Charm and Source code.

He has included themes like Supercomputer, Vectorization, Set and Computational science in his Scalability study. Blue Waters is closely connected to Snapshot in his research, which is encompassed under the umbrella topic of Computational science. His research integrates issues of IBM, Fast Fourier transform and Cache in his study of Load balancing.

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

Scalable molecular dynamics with NAMD

James C. Phillips;Rosemary Braun;Wei Wang;James C. Gumbart.
Journal of Computational Chemistry (2005)

15522 Citations

NAMD2: Greater Scalability for Parallel Molecular Dynamics

Laxmikant Kalé;Robert Skeel;Milind Bhandarkar;Robert Brunner.
Journal of Computational Physics (1999)

2756 Citations

CHARM++: a portable concurrent object oriented system based on C++

Laxmikant V. Kale;Laxmikant V. Kale;Sanjeev Krishnan.
conference on object oriented programming systems languages and applications (1993)

1315 Citations

Scalable Molecular Dynamics with NAMD.

James C. Phillips;Klaus Schulten;Abhinav Bhatele;Chao Mei.
Parallel Science and Engineering Applications (2013)

1059 Citations

NAMD: a Parallel, Object-Oriented Molecular Dynamics Program

Mark T. Nelson;William Humphrey;Attila Gursoy;Andrew Dalke.
ieee international conference on high performance computing data and analytics (1996)

639 Citations

Scalable Molecular Dynamics with NAMD

J. C. Phillips;K. Schulten;A. Bhatele;C. Mei.
Parallel Science and Engineering Applications: The Charm++ Approach, Scalable Molecular Dynamics with NAMD, CRC Press, Boca Raton, FL 2013, pp. 61-77 (2012)

579 Citations

Toward Exascale Resilience

Franck Cappello;Al Geist;Bill Gropp;Laxmikant Kale.
ieee international conference on high performance computing data and analytics (2009)

461 Citations

NAMD: Biomolecular Simulation on Thousands of Processors

James C. Phillips;Gengbin Zheng;Sameer Kumar;Laxmikant V. Kalé.
conference on high performance computing (supercomputing) (2002)

335 Citations

BigSim: a parallel simulator for performance prediction of extremely large parallel machines

G. Zheng;Gunavardhan Kakulapati;L.V. Kale.
international parallel and distributed processing symposium (2004)

316 Citations

FTC-Charm++: an in-memory checkpoint-based fault tolerant runtime for Charm++ and MPI

Gengbin Zheng;Lixia Shi;L.V. Kale.
international conference on cluster computing (2004)

272 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.

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

Contact us

Top Scientists Citing Laxmikant V. Kale

Klaus Schulten

Klaus Schulten

University of Illinois at Urbana-Champaign

Publications: 306

Ruth Nussinov

Ruth Nussinov

U.S. Department of Health and Human Services

Publications: 156

Emad Tajkhorshid

Emad Tajkhorshid

University of Illinois at Urbana-Champaign

Publications: 142

Christophe Chipot

Christophe Chipot

University of Illinois at Urbana-Champaign

Publications: 118

Benoît Roux

Benoît Roux

University of Chicago

Publications: 101

Ruhong Zhou

Ruhong Zhou

Zhejiang University

Publications: 101

J. Andrew McCammon

J. Andrew McCammon

University of California, San Diego

Publications: 89

Aleksei Aksimentiev

Aleksei Aksimentiev

University of Illinois at Urbana-Champaign

Publications: 82

Jeremy C. Smith

Jeremy C. Smith

University of Tennessee at Knoxville

Publications: 80

Wonpil Im

Wonpil Im

Lehigh University

Publications: 68

Alexander D. MacKerell

Alexander D. MacKerell

University of Maryland, Baltimore

Publications: 67

Peter V. Coveney

Peter V. Coveney

University College London

Publications: 64

Carlos Alemán

Carlos Alemán

Universitat Politècnica de Catalunya

Publications: 61

Yves Robert

Yves Robert

École Normale Supérieure de Lyon

Publications: 59

Gregory A. Voth

Gregory A. Voth

University of Chicago

Publications: 58

Something went wrong. Please try again later.