2026 Vivek Sarkar: 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	70	1872	1812	956	919	392	19977

Research.com Recognitions

2020 - ACM - IEEE CS Ken Kennedy Award For foundational technical contributions to the area of programmability and productivity in parallel computing, as well as leadership contributions to professional service, mentoring, and teaching.
2020 - IEEE Fellow For contributions to compiler technologies for high-performance computing
2008 - ACM Fellow For contributions to technologies for parallel computing.
2006 - ACM Distinguished Member

Overview

Vivek Sarkar is affiliated with the Georgia Institute of Technology in the United States and has contributed extensively to the field of computer science, with a particular emphasis on parallel computing and compiler technologies.

Their research spans several main and subfields of study, including:

Computer Science
Hardware and Architecture
Computer Networks and Communications
Information Systems
Artificial Intelligence
Computer Vision and Pattern Recognition

The scientist's main research topics cover a broad range of areas, such as:

Parallel Computing and Optimization Techniques
Distributed and Parallel Computing Systems
Advanced Data Storage Technologies
Cloud Computing and Resource Management
Software Engineering Research
Software Testing and Debugging Techniques
Advanced Neural Network Applications

Among the frequent venues where Vivek Sarkar publishes are:

arXiv (Cornell University)
Zenodo (CERN European Organization for Nuclear Research)
Proceedings of the ACM on Programming Languages
Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
IEEE Micro

Notable recent papers include:

"MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings" (2020, IEEE Micro)
"OpenMP application experiences: Porting to accelerated nodes" (2021, Parallel Computing)
"Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial Accelerators" (2021, ACM Transactions on Architecture and Code Optimization)
"Marvel: A Data-centric Compiler for DNN Operators on Spatial Accelerators" (2020, arXiv (Cornell University))
"A Fine-grained Asynchronous Bulk Synchronous parallelism model for PGAS applications" (2023, Journal of Computational Science)

Frequent co-authors collaborating with Vivek Sarkar include:

Jun Shirako
Akihiro Hayashi
Fangke Ye
Sri Raj Paul
Prasanth Chatarasi

In addition to journal and conference papers, Vivek Sarkar has contributed to book publications. One example is the book "Languages and Compilers for Parallel Computing" published by Springer Science+Business Media in 2021.

Vivek Sarkar has received recognition within the professional community, including:

IEEE Fellow (2020) for contributions to compiler technologies for high-performance computing
ACM - IEEE CS Ken Kennedy Award (2020) for foundational technical contributions to programmability and productivity in parallel computing, as well as leadership in service, mentoring, and teaching
ACM Fellow (2008) for contributions to technologies for parallel computing
ACM Distinguished Member (2006)

Best Publications

X10: an object-oriented approach to non-uniform cluster computing

Philippe Charles;Christian Grothoff;Vijay Saraswat;Christopher Donawa

2045
Citations
Partitioning and scheduling parallel programs for execution on multiprocessors

V. Sarkar

1204
Citations
Baring it all to software: Raw machines

E. Waingold;M. Taylor;D. Srikrishna;V. Sarkar

1036
Citations
The Jalapeño virtual machine

B. Alpern;C. R. Attanasio;J. J. Barton;M. G. Burke

804
Citations
Linear scan register allocation

Massimiliano Poletto;Vivek Sarkar

554
Citations
Efficient and precise datarace detection for multithreaded object-oriented programs

Jong-Deok Choi;Keunwoo Lee;Alexey Loginov;Robert O'Callahan

526
Citations
The Jalapeño dynamic optimizing compiler for Java

Michael G. Burke;Jong-Deok Choi;Stephen Fink;David Grove

428
Citations
ABCD: eliminating array bounds checks on demand

Rastislav Bodík;Rajiv Gupta;Vivek Sarkar

350
Citations
The Jikes research virtual machine project: building an open-source research community

B. Alpern;S. Augart;S. M. Blackburn;M. Butrico

349
Citations
Habanero-Java: the new adventures of old X10

Vincent Cavé;Jisheng Zhao;Jun Shirako;Vivek Sarkar

327
Citations
Space-time scheduling of instruction-level parallelism on a raw machine

Walter Lee;Rajeev Barua;Matthew Frank;Devabhaktuni Srikrishna

324
Citations
Understanding Reuse, Performance, and Hardware Cost of DNN Dataflow: A Data-Centric Approach

Hyoukjun Kwon;Prasanth Chatarasi;Michael Pellauer;Angshuman Parashar

290
Citations
Decentralizing execution of composite web services

Mangala Gowri Nanda;Satish Chandra;Vivek Sarkar

288
Citations
Determining average program execution times and their variance

V. Sarkar

259
Citations
JCUDA: A Programmer-Friendly Interface for Accelerating Java Programs with CUDA

Yonghong Yan;Max Grossman;Vivek Sarkar

243
Citations
On Estimating and Enhancing Cache Effectiveness

Jeanne Ferrante;Vivek Sarkar;W. Thrash

242
Citations
Concurrent Collections

Zoran Budimlić;Michael Burke;Vincent Cavé;Kathleen Knobe

240
Citations
Compile-time partitioning and scheduling of parallel programs

Vivek Sarkar;John Hennessy

231
Citations
SLAW: A scalable locality-aware adaptive work-stealing scheduler

Yi Guo;Jisheng Zhao;Vincent Cave;Vivek Sarkar

229
Citations
Work-first and help-first scheduling policies for async-finish task parallelism

Yi Guo;Rajkishore Barik;Raghavan Raman;Vivek Sarkar

222
Citations
Software Challenges in Extreme Scale Systems

Vivek Sarkar;William Harrod;Allan E Snavely

112
Citations

Frequent Co-Authors

Guang R. Gao University of Delaware

David Grove IBM (United States)

Jong-Deok Choi Samsung (South Korea)

Martin Vechev ETH Zurich

Stephen J. Fink Facebook (United States)

John Mellor-Crummey Rice University

John L. Hennessy Stanford University

Keith D. Cooper Rice University

Rajesh Bordawekar IBM (United States)

Michael Hind IBM (United States)

External Links

Personal website of Vivek Sarkar Google Scholar page

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