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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
43
Citations
11152
World Ranking
3819
National Ranking
176

Research.com Recognitions

  • 2020 - IEEE Fellow For contributions to computer-aided design of field-programmable gate arrays
  • 2020 - Fellow, National Academy of Inventors

Overview

Vaughn Betz is a researcher affiliated with the University of Toronto in Canada. Their work focuses primarily on engineering and computer science, with a notable emphasis on electrical and electronic engineering and hardware architecture. In addition to these core areas, their research spans biomedical engineering, pulmonary and respiratory medicine, and artificial intelligence.

Their scholarly output reflects a variety of topics, highlighting expertise in several technical domains. Key topics of their research include:

  • VLSI and FPGA design techniques
  • Embedded systems design techniques
  • Photodynamic therapy research studies
  • Nanoplatforms for cancer theranostics
  • Low-power high-performance VLSI design
  • Parallel computing and optimization techniques
  • Photoacoustic and ultrasonic imaging

Vaughn Betz has published extensively in several venues, frequently contributing to:

  • ACM Transactions on Reconfigurable Technology and Systems
  • arXiv (Cornell University)
  • Journal of Biomedical Optics
  • Journal of Biophotonics
  • Photodiagnosis and Photodynamic Therapy

Their recent publications include the following papers, which span work from 2020 to 2021:

  • "VTR 8" (2020), published in ACM Transactions on Reconfigurable Technology and Systems
  • "FPGA Architecture: Principles and Progression" (2021), published in IEEE Circuits and Systems Magazine
  • "SymbiFlow and VPR: An Open-Source Design Flow for Commercial and Novel FPGAs" (2020), published in IEEE Micro
  • "RLPlace: Using Reinforcement Learning and Smart Perturbations to Optimize FPGA Placement" (2021), published in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "FPGA Logic Block Architectures for Efficient Deep Learning Inference" (2020), published in ACM Transactions on Reconfigurable Technology and Systems

Throughout their career, Vaughn Betz has co-authored work frequently with several researchers, including:

  • Lothar Lilge
  • Andrew Boutros
  • Kenneth B. Kent
  • Fynn Schwiegelshohn
  • Mohamed A. Elgammal

Recognition of Vaughn Betz's contributions includes honors such as:

  • Fellow of the National Academy of Inventors (2020)
  • IEEE Fellow (2020) for contributions to computer-aided design of field-programmable gate arrays

Best Publications

  • Architecture and CAD for Deep-Submicron FPGAS

    Vaughn Betz;Jonathan Rose;Alexander Marquardt

  • VPR: A new packing, placement and routing tool for FPGA research

    Vaughn Betz;Jonathan Rose

  • VTR 7.0: Next Generation Architecture and CAD System for FPGAs

    Jason Luu;Jeffrey Goeders;Michael Wainberg;Andrew Somerville

  • Using cluster-based logic blocks and timing-driven packing to improve FPGA speed and density

    Alexander (Sandy) Marquardt;Vaughn Betz;Jonathan Rose

  • Timing-driven placement for FPGAs

    Alexander Marquardt;Vaughn Betz;Jonathan Rose

  • The Stratix II logic and routing architecture

    David Lewis;Elias Ahmed;Gregg Baeckler;Vaughn Betz

  • VTR 8: High-performance CAD and Customizable FPGA Architecture Modelling

    Kevin E. Murray;Oleg Petelin;Sheng Zhong;Jia Min Wang

  • FPGA routing architecture: segmentation and buffering to optimize speed and density

    Vaughn Betz;Jonathan Rose

  • Cluster-based logic blocks for FPGAs: area-efficiency vs. input sharing and size

    V. Betz;J. Rose

  • The stratixπ routing and logic architecture

    David Lewis;Vaughn Betz;David Jefferson;Andy Lee

  • FPGA Architecture: Principles and Progression

    Andrew Boutros;Vaughn Betz

  • A fast routability-driven router for FPGAs

    Jordan S. Swartz;Vaughn Betz;Jonathan Rose

  • How much logic should go in an FPGA logic block

    V. Betz;J. Rose

  • Comparing FPGA vs. custom cmos and the impact on processor microarchitecture

    Henry Wong;Vaughn Betz;Jonathan Rose

  • Titan: Enabling large and complex benchmarks in academic CAD

    Kevin E. Murray;Scott Whitty;Suya Liu;Jason Luu

  • Speed and area tradeoffs in cluster-based FPGA architectures

    A. Marquardt;V. Betz;J. Rose

  • Apparatus and Methods for Adjusting Performance of Integrated Circuits

    David Lewis;Vaughn Betz;Irfan Rahim;Peter McElheny

  • Directional bias and non-uniformity in FPGA global routing architectures

    Vaughn Betz;Jonathan Rose

  • Error correction for programmable logic integrated circuits

    David Lewis;Vaughn Betz

  • COFFE: Fully-automated transistor sizing for FPGAs

    Charles Chiasson;Vaughn Betz

  • Should FPGAS abandon the pass-gate?

    Charles Chiasson;Vaughn Betz

Frequent Co-Authors

Jonathan Rose
Jonathan Rose University of Toronto
Richard G. Cliff
Richard G. Cliff Intel (United States)
Russell Tessier
Russell Tessier University of Massachusetts Amherst
Raj Mittra
Raj Mittra Pennsylvania State University
Jan M. Rabaey
Jan M. Rabaey University of California, Berkeley

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