2026 Laxmikant V. Kale: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	66	2250	2183	1122	1081	464	42513

Research.com Recognitions

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

Laxmikant V. Kale is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research primarily focuses on the field of Computer Science, with substantial contributions in several subfields including Hardware and Architecture, Computer Networks and Communications, Information Systems, Artificial Intelligence, and Computer Vision and Pattern Recognition.

The scientist's work extensively covers topics related to Parallel Computing and Optimization Techniques, Cloud Computing and Resource Management, Distributed and Parallel Computing Systems, Embedded Systems Design Techniques, Advanced Data Storage Technologies, Ferroelectric and Negative Capacitance Devices, and Stochastic Gradient Optimization Techniques.

Kale has published numerous papers, with recent notable works including:

"Scalable molecular dynamics on CPU and GPU architectures with NAMD" (2020), The Journal of Chemical Physics
"Heterogeneous computing with OpenMP and Hydra" (2020), Concurrency and Computation Practice and Experience
"Improving Scalability with GPU-Aware Asynchronous Tasks" (2022), 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
"Quantifying Overheads in Charm++ and HPX using Task Bench" (2022), arXiv (Cornell University)
"Optimizing Non-commutative Allreduce Over Virtualized, Migratable MPI Ranks" (2022), 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

Their frequent co-authors include Zane Fink, Simeng Liu, Jaemin Choi, Matthias Diener, and David F. Richards. These collaborations have contributed to a body of work regularly published in venues such as arXiv (Cornell University), the IEEE International Parallel and Distributed Processing Symposium Workshops, Zenodo (CERN European Organization for Nuclear Research), The Journal of Chemical Physics, and Concurrency and Computation Practice and Experience.

Kale has received professional recognition including the ACM Fellow award in 2017 for contributions to parallel programming techniques and deployment in high performance computing applications, and the IEEE Fellow distinction in 2011 for the development of parallel programming techniques.

Best Publications

Scalable molecular dynamics with NAMD

James C. Phillips;Rosemary Braun;Wei Wang;James C. Gumbart

19661
Citations
NAMD2: Greater Scalability for Parallel Molecular Dynamics

Laxmikant Kalé;Robert Skeel;Milind Bhandarkar;Robert Brunner

3048
Citations
Scalable molecular dynamics on CPU and GPU architectures with NAMD.

James C. Phillips;David J. Hardy;Julio D.C. Maia;John E. Stone

2983
Citations
CHARM++: a portable concurrent object oriented system based on C++

Laxmikant V. Kale;Laxmikant V. Kale;Sanjeev Krishnan

1434
Citations
Scalable Molecular Dynamics with NAMD.

James C. Phillips;Klaus Schulten;Abhinav Bhatele;Chao Mei

1064
Citations
NAMD: a Parallel, Object-Oriented Molecular Dynamics Program

Mark T. Nelson;William Humphrey;Attila Gursoy;Andrew Dalke

796
Citations
Scalable Molecular Dynamics with NAMD

J. C. Phillips;K. Schulten;A. Bhatele;C. Mei

578
Citations
Toward Exascale Resilience

Franck Cappello;Al Geist;Bill Gropp;Laxmikant Kale

473
Citations
NAMD: Biomolecular Simulation on Thousands of Processors

James C. Phillips;Gengbin Zheng;Sameer Kumar;Laxmikant V. Kalé

342
Citations
BigSim: a parallel simulator for performance prediction of extremely large parallel machines

G. Zheng;Gunavardhan Kakulapati;L.V. Kale

340
Citations
FTC-Charm++: an in-memory checkpoint-based fault tolerant runtime for Charm++ and MPI

Gengbin Zheng;Lixia Shi;L.V. Kale

280
Citations
Algorithmic Challenges in Computational Molecular Biophysics

Tamar Schlick;Robert D Skeel;Axel T Brunger;Laxmikant V Kalé

268
Citations
Parallel programming with migratable objects: charm++ in practice

Bilge Acun;Abhishek Gupta;Nikhil Jain;Akhil Langer

232
Citations
Adaptive MPI

Unknown

221
Citations
Maximizing throughput of overprovisioned HPC data centers under a strict power budget

Osman Sarood;Akhil Langer;Abhishek Gupta;Laxmikant Kale

195
Citations
Topology-aware task mapping for reducing communication contention on large parallel machines

T. Agarwal;A. Sharma;A. Laxmikant;L.V. Kale

185
Citations
Adaptive techniques for clustered N-body cosmological simulations

Harshitha Menon;Lukasz Wesolowski;Gengbin Zheng;Pritish Jetley

184
Citations
Performance evaluation of adaptive MPI

Chao Huang;Gengbin Zheng;Laxmikant Kalé;Sameer Kumar

176
Citations
The Chare Kernel Parallel Programming Language and System.

Laxmikant V. Kalé

168
Citations
A scalable double in-memory checkpoint and restart scheme towards exascale

Gengbin Zheng;Xiang Ni;Laxmikant V. Kale

154
Citations
Proactive fault tolerance in MPI applications via task migration

Sayantan Chakravorty;Celso L. Mendes;Laxmikant V. Kalé

145
Citations

Frequent Co-Authors

Abhinav Bhatele University of Maryland, College Park

Sameer Kumar Google (United States)

Attila Gursoy Koç University

Sohrab Ismail-Beigi Yale University

Dejan Milojicic Hewlett-Packard (United States)

Pete Beckman Northwestern University

Thomas R. Quinn University of Washington

David Padua University of Illinois at Urbana-Champaign

Bu-Sung Lee Nanyang Technological University

Frank Mueller North Carolina State University

External Links

Wikipedia of Laxmikant V. Kale Personal website of Laxmikant V. Kale Google Scholar page

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