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Computer Science

D-Index
55
Citations
14159
World Ranking
4262
National Ranking
2008

Overview

Rajeev Thakur is affiliated with Argonne National Laboratory in the United States. Their research primarily spans the field of Computer Science, with a focus on several subfields including Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Information Systems and Management, and Materials Chemistry.

The scientist's work addresses various topics in computing and technology. These include:

  • Parallel Computing and Optimization Techniques
  • Scientific Computing and Data Management
  • Distributed and Parallel Computing Systems
  • Machine Learning in Materials Science
  • Cloud Computing and Resource Management
  • Advanced Data Storage Technologies
  • Interconnection Networks and Systems

Rajeev Thakur has contributed to multiple publication venues, particularly those focused on high-performance computing and related areas. Frequent venues for their work are:

  • arXiv (Cornell University)
  • The International Journal of High Performance Computing Applications
  • Computing in Science & Engineering
  • 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
  • Materials Today Proceedings

Recent papers authored or co-authored by Rajeev Thakur include:

  • Co-design Center for Exascale Machine Learning Technologies (ExaLearn), 2021, The International Journal of High Performance Computing Applications
  • Performance Portability in the Exascale Computing Project: Exploration Through a Panel Series, 2021, Computing in Science & Engineering
  • VLSI implementation of lightweight cryptography technique for FPGA-IOT application, 2023, Materials Today Proceedings
  • Employing artificial intelligence to steer exascale workflows with colmena, 2024, The International Journal of High Performance Computing Applications
  • Preparing MPICH for exascale, 2025, The International Journal of High Performance Computing Applications

The scientist often collaborates with a group of frequent co-authors, including Yanfei Guo, Ken Raffenetti, Hui Zhou, Ryan Chard, and Ian Foster. These collaborations reflect a network of research in high-performance and distributed computing systems.

Best Publications

  • PVFS: a parallel file system for linux clusters

    Philip H. Carns;Walter B. Ligon;Robert B. Ross;Rajeev Thakur

  • Optimization of Collective Communication Operations in MPICH

    Rajeev Thakur;Rolf Rabenseifner;William Gropp

  • The International Exascale Software Project roadmap

    Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts

  • Using MPI-2: Advanced Features of the Message Passing Interface

    William Gropp;Ewing Lusk;Rajeev Thakur

  • Data sieving and collective I/O in ROMIO

    R. Thakur;W. Gropp;W. Gropp;E. Lusk

  • On implementing MPI-IO portably and with high performance

    Rajeev Thakur;William Gropp;Ewing Lusk

  • Parallel netCDF: A High-Performance Scientific I/O Interface

    Jianwei Li;Wei-keng Liao;Alok Choudhary;Robert Ross

  • Improving the Performance of Collective Operations in MPICH

    Rajeev Thakur;William D. Gropp

  • An abstract-device interface for implementing portable parallel-I/O interfaces

    R. Thakur;W. Gropp;E. Lusk

  • Users guide for ROMIO: A high-performance, portable MPI-IO implementation

    R. Thakur;E. Lusk;W. Gropp

  • Parallel I/O prefetching using MPI file caching and I/O signatures

    Surendra Byna;Yong Chen;Xian-He Sun;Rajeev Thakur

  • An extended two-phase method for accessing sections of out-of-core arrays

    Rajeev Thakur;Alok Choudhary

  • Passion: Optimized I/O for Parallel Applications

    Rajeev Thakur;Alok Choudhary;Rajesh Bordawekar;Rajesh Bordawekar;Sachin More

  • Optimizing noncontiguous accesses in MPI – IO

    Rajeev Thakur;William Gropp;Ewing Lusk

  • Using Advanced MPI: Modern Features of the Message-Passing Interface

    William Gropp;Torsten Hoefler;Rajeev Thakur;Ewing Lusk

  • MPI on a Million Processors

    Pavan Balaji;Darius Buntinas;David Goodell;William Gropp

  • Method and apparatus for real-time parallel delivery of segments of a large payload file

    Desmond Cho-Hung Chan;Siew Young Sim;Rajeev Thakur;Trygve Isaacson

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

    Torsten Hoefler;James Dinan;Darius Buntinas;Pavan Balaji

  • Remote Memory Access Programming in MPI-3

    Torsten Hoefler;James Dinan;Rajeev Thakur;Brian Barrett

  • A Case for Using MPI's Derived Datatypes to Improve I/O Performance

    Rajeev Thakur;William Gropp;Ewing Lusk

Frequent Co-Authors

William Gropp
William Gropp University of Illinois at Urbana-Champaign
Pavan Balaji
Pavan Balaji Argonne National Laboratory
Ewing Lusk
Ewing Lusk Argonne National Laboratory
Alok Choudhary
Alok Choudhary Northwestern University
Xian-He Sun
Xian-He Sun Illinois Institute of Technology
Robert Ross
Robert Ross Argonne National Laboratory
Ganesh Gopalakrishnan
Ganesh Gopalakrishnan University of Utah
Wu-chun Feng
Wu-chun Feng Virginia Tech
Robert M. Kirby
Robert M. Kirby University of Utah

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