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Computer Science

D-Index
50
Citations
11573
World Ranking
5557
National Ranking
2540

Overview

James S. Plank is affiliated with the University of Tennessee at Knoxville in the United States. Their research spans multiple disciplines within engineering and computer science, focusing primarily on advanced memory and neural computing systems.

Their recent publications cover a range of topics and venues, including:

  • Optimizations for a Current-Controlled Memristor-Based Neuromorphic Synapse Design, 2023, IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • Benchmark Comparisons of Spike-based Reconfigurable Neuroprocessor Architectures for Control Applications, 2022, Proceedings of the Great Lakes Symposium on VLSI 2022
  • Two-Level Private Information Retrieval, 2022, IEEE Journal on Selected Areas in Information Theory
  • Functional Specification of the RAVENS Neuroprocessor, 2023, arXiv (Cornell University)
  • The Cart-Pole Application as a Benchmark for Neuromorphic Computing, 2025, Journal of Low Power Electronics and Applications

Frequent co-authors in their work include:

  • Catherine D. Schuman
  • Charles P. Rizzo
  • Garrett S. Rose
  • Bryson Gullett
  • Hritom Das

Plank's work has been published most often in the following venues:

  • arXiv (Cornell University)
  • Journal of Low Power Electronics and Applications
  • IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • Proceedings of the Great Lakes Symposium on VLSI 2022
  • IEEE Journal on Selected Areas in Information Theory

The scientist's main fields of study are:

  • Engineering
  • Computer Science

Areas of specialization include subfields such as:

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Computer Networks and Communications
  • Cellular and Molecular Neuroscience
  • Computational Theory and Mathematics

Their research focuses on the following main topics:

  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Neural Networks and Reservoir Computing
  • CCD and CMOS Imaging Sensors
  • Photoreceptor and Optogenetics Research
  • Cryptography and Data Security
  • Privacy-Preserving Technologies in Data

Best Publications

  • A tutorial on Reed-Solomon coding for fault-tolerance in RAID-like systems

    James S. Plank

  • Libckpt: transparent checkpointing under Unix

    James S. Plank;Micah Beck;Gerry Kingsley;Kai Li

  • Analyzing Market-Based Resource Allocation Strategies for the Computational Grid

    Rich Wolski;James S. Plank;John Brevik;Todd Bryan

  • A Survey of Neuromorphic Computing and Neural Networks in Hardware.

    Catherine D. Schuman;Thomas E. Potok;Robert M. Patton;J. Douglas Birdwell

  • Diskless checkpointing

    J.S. Plank;Kai Li;M.A. Puening

  • Rethinking erasure codes for cloud file systems: minimizing I/O for recovery and degraded reads

    Osama Khan;Randal Burns;James Plank;William Pierce

  • A performance evaluation and examination of open-source erasure coding libraries for storage

    James S. Plank;Jianqiang Luo;Catherine D. Schuman;Lihao Xu

  • Optimizing Cauchy Reed-Solomon Codes for Fault-Tolerant Network Storage Applications

    J.S. Plank;L. Xu

  • Checkpointing for peta-scale systems: a look into the future of practical rollback-recovery

    E.N. Elnozahy;J.S. Plank

  • G-commerce: market formulations controlling resource allocation on the computational grid

    R. Wolski;J.S. Plank;T. Bryan;J. Brevik

  • The Raid-6 Liber8Tion Code

    James S. Plank

  • AONT-RS: blending security and performance in dispersed storage systems

    Jason K. Resch;James S. Plank

  • Low-latency, concurrent checkpointing for parallel programs

    Kai Li;J.F. Naughton;J.S. Plank

  • The RAID-6 liberation codes

    James S. Plank

  • Grid Resource Allocation and Control Using Computational Economies

    Rich Wolski;John Brevik;James S. Plank;Todd Bryan

  • An end-to-end approach to globally scalable network storage

    Micah Beck;Terry Moore;James S. Plank

  • Note: Correction to the 1997 tutorial on Reed–Solomon coding

    James S. Plank;Ying Ding

  • Experimental assessment of workstation failures and their impact on checkpointing systems

    J.S. Plank;W.R. Elwasif

  • Screaming fast Galois field arithmetic using intel SIMD instructions

    James S. Plank;Kevin M. Greenan;Ethan L. Miller

  • The Internet Backplane Protocol: Storage in the Network

    James S. Plank;Micah Beck;Wael R. Elwasif;Terence Moore

Frequent Co-Authors

Garrett S. Rose
Garrett S. Rose University of Tennessee at Knoxville
Rich Wolski
Rich Wolski University of California, Santa Barbara
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Kai Li
Kai Li Princeton University
Henri Casanova
Henri Casanova University of Hawaii at Manoa
Chao Tian
Chao Tian Texas A&M University
Jeffrey F. Naughton
Jeffrey F. Naughton University of Wisconsin–Madison
Francine Berman
Francine Berman Rensselaer Polytechnic Institute
Eitan Yaakobi
Eitan Yaakobi Technion – Israel Institute of Technology
Ethan L. Miller
Ethan L. Miller University of California, Santa Cruz

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