World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
15172
World Ranking
4989
National Ranking
2316

Electronics and Electrical Engineering

D-Index
49
Citations
14150
World Ranking
2887
National Ranking
1093

Research.com Recognitions

  • 2009 - ACM Senior Member
  • 2001 - Fellow of Alfred P. Sloan Foundation

Overview

Scott Hauck is affiliated with the University of Washington in the United States. Their research spans multiple intersecting fields, primarily in computer science and physics and astronomy. Within these domains, Hauck's work addresses areas such as nuclear and high energy physics, artificial intelligence, computer vision and pattern recognition, information systems and management, and electrical and electronic engineering.

The scientist's primary research topics include particle detector development and performance, scientific computing and data management, anomaly detection techniques and applications, advanced neural network applications, particle physics theoretical and experimental studies, nuclear reactor physics and engineering, and distributed and parallel computing systems.

Scott Hauck has contributed to several recent publications, with notable papers including:

  • Applications and Techniques for Fast Machine Learning in Science, 2022, Frontiers in Big Data
  • Graph Neural Networks for Charged Particle Tracking on FPGAs, 2022, Frontiers in Big Data
  • Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml, 2023, Machine Learning Science and Technology
  • hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices, 2021, arXiv (Cornell University)
  • Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark, 2022, arXiv (Cornell University)

Throughout their career, Hauck frequently collaborated with coauthors such as S.-C. Hsu, J. Duarte, Philip Harris, E. E. Khoda, and M. S. Neubauer. These frequent partnerships underline an interdisciplinary approach engaging various aspects of computational and physical sciences.

Scott Hauck's work has been published primarily in the following venues:

  • arXiv (Cornell University)
  • Frontiers in Big Data
  • Journal of Instrumentation
  • Machine Learning Science and Technology

In recognition of contributions to their fields, Hauck has received distinctions such as becoming an ACM Senior Member in 2009 and being named a Fellow of the Alfred P. Sloan Foundation in 2001.

Best Publications

  • Reconfigurable computing: a survey of systems and software

    Katherine Compton;Scott Hauck

  • A reconfigurable fabric for accelerating large-scale datacenter services

    Andrew Putnam;Adrian M. Caulfield;Eric S. Chung;Derek Chiou

  • The Chimaera reconfigurable functional unit

    S. Hauck;T.W. Fry;M.M. Hosler;J.P. Kao

  • Asynchronous design methodologies: an overview

    S. Hauck

  • Production and integration of the ATLAS Insertable B-Layer

    B. Abbott;A. Clark;S. Latorre;O. Crespo-Lopez

  • The roles of FPGAs in reprogrammable systems

    S. Hauck

  • Reconfigurable Computing: The Theory and Practice of FPGA-Based Computation

    Scott Hauck;Andre DeHon

  • CHIMAERA: a high-performance architecture with a tightly-coupled reconfigurable functional unit

    Zhi Alex Ye;Andreas Moshovos;Scott Hauck;Prithviraj Banerjee

  • Configuration compression for the Xilinx XC6200 FPGA

    S. Hauck;Zhiyuan Li;E. Schwabe

  • An evaluation of bipartitioning techniques

    S. Hauck;G. Borriello

  • Placement and routing tools for the Triptych FPGA

    C. Ebeling;L. McMurchie;S.A. Hauck;S. Burns

  • Configuration prefetch for single context reconfigurable coprocessors

    Scott Hauck

  • Configuration prefetching techniques for partial reconfigurable coprocessor with relocation and defragmentation

    Zhiyuan Li;Scott Hauck

  • MONTAGNE: An FPL for Synchronous and Asynchronous Circuits

    Scott Hauck;Gaetano Borriello;Steven M. Burns;Carl Ebeling

  • Configuration relocation and defragmentation for run-time reconfigurable computing

    K. Compton;Zhiyuan Li;J. Cooley;S. Knol

  • A Reconfigurable Fabric for Accelerating Large-Scale Datacenter Services

    Andrew Putnam;Adrian M. Caulfield;Eric S. Chung;Derek Chiou

  • The Future of Integrated Circuits: A Survey of Nanoelectronics

    M. Haselman;S. Hauck

  • A MATLAB compiler for distributed, heterogeneous, reconfigurable computing systems

    P. Banerjee;N. Shenoy;A. Choudhary;S. Hauck

  • Configuration caching management techniques for reconfigurable computing

    Z. Li;K. Compton;S. Hauck

  • An FPGA for implementing asynchronous circuits

    S. Hauck;S. Burns;G. Borriello;C. Ebeling

  • High-performance carry chains for FPGA's

    S. Hauck;M.M. Hosler;T.W. Fry

Frequent Co-Authors

Gaetano Borriello
Gaetano Borriello University of Washington
Doug Burger
Doug Burger Microsoft (United States)
Hadi Esmaeilzadeh
Hadi Esmaeilzadeh University of California, San Diego
Walter L. Ruzzo
Walter L. Ruzzo University of Washington
Eve A. Riskin
Eve A. Riskin University of Washington
Richard E. Ladner
Richard E. Ladner University of Washington
James R. Larus
James R. Larus École Polytechnique Fédérale de Lausanne
Majid Sarrafzadeh
Majid Sarrafzadeh University of California, Los Angeles
Luca P. Carloni
Luca P. Carloni Columbia University
Russell Tessier
Russell Tessier University of Massachusetts Amherst

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