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D-Index & Metrics

Computer Science

D-Index
81
Citations
25298
World Ranking
1030
National Ranking
548

Research.com Recognitions

  • 2015 - W. Wallace McDowell Award, IEEE Computer Society For fundamental algorithmic and application specific architectural contributions to reconfigurable computing.
  • 2009 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2007 - ACM Fellow For contributions to parallel, distributed and reconfigurable computing.

Overview

Viktor K. Prasanna is affiliated with the University of Southern California in the United States. Their research primarily falls under the field of Computer Science, with a strong focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications, and Hardware and Architecture.

Their main research topics span a variety of advanced areas, including:

  • Advanced Graph Neural Networks
  • Graph Theory and Algorithms
  • Parallel Computing and Optimization Techniques
  • Advanced Memory and Neural Computing
  • Reinforcement Learning in Robotics
  • Advanced Neural Network Applications
  • Advanced SAR Imaging Techniques

Viktor K. Prasanna has published extensively, with notable recent papers including:

  • NSF/IEEE-TCPP Curriculum Initiative on Parallel and Distributed Computing Core Topics for Undergraduates, 2024, HAL (Le Centre pour la Communication Scientifique Directe)
  • GPOP, 2020, ACM Transactions on Parallel Computing
  • A Comprehensive Survey of Deep Learning: Advancements, Applications, and Challenges, 2023, International Journal on Recent and Innovation Trends in Computing and Communication
  • GraphAGILE: An FPGA-Based Overlay Accelerator for Low-Latency GNN Inference, 2023, IEEE Transactions on Parallel and Distributed Systems
  • Safe Building HVAC Control via Batch Reinforcement Learning, 2022, IEEE Transactions on Sustainable Computing

The venues in which Viktor K. Prasanna frequently publishes include:

  • arXiv (Cornell University)
  • IEEE Transactions on Parallel and Distributed Systems
  • ACM Transactions on Parallel Computing
  • IEEE Transactions on Sustainable Computing
  • ACM Transactions on Reconfigurable Technology and Systems

Collaborative work is a significant component of their research output. Frequent co-authors include:

  • Rajgopal Kannan
  • Bingyi Zhang
  • Ajitesh Srivastava
  • Carl Busart
  • Sanmukh R. Kuppannagari

Throughout their career, Viktor K. Prasanna has received several recognitions such as:

  • W. Wallace McDowell Award from the IEEE Computer Society in 2015, for contributions to reconfigurable computing
  • Fellow of the American Association for the Advancement of Science (AAAS) in 2009
  • ACM Fellow in 2007, recognized for contributions to parallel, distributed, and reconfigurable computing

Best Publications

  • Fast Regular Expression Matching Using FPGAs

    R. Sidhu;V.K. Prasanna

  • Energy-latency tradeoffs for data gathering in wireless sensor networks

    Yang Yu;B. Krishnamachari;V.K. Prasanna

  • Heterogeneous computing: challenges and opportunities

    A.A. Khokhar;V.K. Prasanna;M.E. Shaaban;C.-L. Wang

  • Parallel computations on reconfigurable meshes

    R. Miller;V.K. Prasanna-Kumar;D.I. Reisis;Q.F. Stout

  • Cloud-Based Software Platform for Big Data Analytics in Smart Grids

    Yogesh Simmhan;Saima Aman;Alok Kumbhare;Rongyang Liu

  • Reconfigurable computing systems

    K. Bondalapati;V.K. Prasanna

  • Issues in designing middleware for wireless sensor networks

    Yang Yu;Bhaskar Krishnamachari;V.K. Prasanna

  • Sparse Matrix-Vector multiplication on FPGAs

    Ling Zhuo;Viktor K. Prasanna

  • GraphSAINT: Graph Sampling Based Inductive Learning Method

    Hanqing Zeng;Hongkuan Zhou;Ajitesh Srivastava;Rajgopal Kannan

  • Seeking solutions in configurable computing

    W.H. Mangione-Smith;B. Hutchings;D. Andrews;A. DeHon

  • Analysis of high-performance floating-point arithmetic on FPGAs

    Gokul Govindu;L. Zhuo;S. Choi;V. Prasanna

  • Energy management systems: state of the art and emerging trends

    S. Aman;Y. Simmhan;V. K. Prasanna

  • Energy-balanced task allocation for collaborative processing in wireless sensor networks

    Yang Yu;Viktor K. Prasanna

  • Time and area efficient pattern matching on FPGAs

    Zachary K. Baker;Viktor K. Prasanna

  • Efficient collective communication in distributed heterogeneous systems

    P.B. Bhat;C.S. Raghavendra;V.K. Prasanna

  • Efficient collective communication in distributed heterogeneous systems

    Prashanth B. Bhat;C. S. Raghavendra;Viktor K. Prasanna

  • Parallel architectures and algorithms for image component labeling

    H.M. Alnuweiti;V.K. Prasanna

  • The Abstract Task Graph: a methodology for architecture-independent programming of networked sensor systems

    Amol Bakshi;Viktor K. Prasanna;Jim Reich;Daniel Larner

  • An optimal sorting algorithm on reconfigurable mesh

    Ju-wook Jang;Viktor K. Prasanna

  • MILAN: A Model Based Integrated Simulation Framework for Design of Embedded Systems

    A. Bakshi;V. K. Prasanna;A. Ledeczi

Frequent Co-Authors

Yogesh Simmhan
Yogesh Simmhan Indian Institute of Science
Cauligi S. Raghavendra
Cauligi S. Raghavendra University of Southern California
Howard Jay Siegel
Howard Jay Siegel Colorado State University
David A. Bader
David A. Bader New Jersey Institute of Technology
Manish Parashar
Manish Parashar University of Utah
Ashfaq Khokhar
Ashfaq Khokhar Iowa State University
Bhaskar Krishnamachari
Bhaskar Krishnamachari University of Southern California
Frank Mueller
Frank Mueller North Carolina State University
S. Sitharama Iyengar
S. Sitharama Iyengar Florida International University
Luca Mottola
Luca Mottola Polytechnic University of Milan

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