World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
11808
World Ranking
5553
National Ranking
2538

Overview

John Wawrzynek is affiliated with the University of California, Berkeley in the United States. Their research spans several fields within computer science and engineering, focusing primarily on areas such as computer vision, hardware and architecture, and artificial intelligence.

The main fields of study for Wawrzynek include:

  • Computer Science
  • Engineering

Within these broader areas, their subfields of study have included:

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Computer Networks and Communications

Wawrzynek's work covers various advanced topics such as:

  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Parallel Computing and Optimization Techniques
  • CCD and CMOS Imaging Sensors
  • Embedded Systems Design Techniques
  • Interconnection Networks and Systems
  • Domain Adaptation and Few-Shot Learning

Their recent publications reflect active contributions to both theoretical and applied aspects of computer science and engineering. Notable papers include:

  • "AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning" (2020), published in arXiv (Cornell University)
  • "ProTuner: Tuning Programs with Monte Carlo Tree Search" (2020), published in arXiv (Cornell University)
  • "CoSA: Scheduling by Constrained Optimization for Spatial Accelerators" (2021), published in arXiv (Cornell University)
  • "Algorithm-hardware Co-design for Deformable Convolution" (2020), published in arXiv (Cornell University)
  • "HAO: Hardware-aware neural Architecture Optimization for Efficient Inference" (2021), published in arXiv (Cornell University)

Wawrzynek frequently publishes in the venue:

  • arXiv (Cornell University)

Collaborations are a significant aspect of Wawrzynek's research profile. Frequent co-authors include:

  • Qijing Huang
  • Yizhao Gao
  • Zhen Dong
  • Kurt Keutzer
  • Dequan Wang

Best Publications

  • Garp: a MIPS processor with a reconfigurable coprocessor

    J.R. Hauser;J. Wawrzynek

  • Chisel: constructing hardware in a Scala embedded language

    Jonathan Bachrach;Huy Vo;Brian Richards;Yunsup Lee

  • A view of the parallel computing landscape

    Krste Asanovic;Rastislav Bodik;James Demmel;Tony Keaveny

  • The Garp architecture and C compiler

    T.J. Callahan;J.R. Hauser;J. Wawrzynek

  • Fine-grain parallelism with minimal hardware support: a compiler-controlled threaded abstract machine

    David E. Culler;Anurag Sah;Klaus E. Schauser;Thorsten von Eicken

  • BEE2: a high-end reconfigurable computing system

    C. Chang;J. Wawrzynek;R.W. Brodersen

  • Reconfigurable computing: what, why, and implications for design automation

    André DeHon;John Wawrzynek

  • Stream Computations Organized for Reconfigurable Execution (SCORE)

    Eylon Caspi;Michael Chu;Randy Huang;Joseph Yeh

  • Silicon auditory processors as computer peripherals

    J. Lazzaro;J. Wawrzynek;M. Mahowald;M. Sivilotti

  • HSRA: high-speed, hierarchical synchronous reconfigurable array

    William Tsu;Kip Macy;Atul Joshi;Randy Huang

  • The cloud is not enough: saving iot from the cloud

    Ben Zhang;Nitesh Mor;John Kolb;Douglas S. Chan

  • Vector microprocessors

    Krste Asanovic;John Wawrzynek

  • RAMP: Research Accelerator for Multiple Processors

    J. Wawrzynek;D. Patterson;M. Oskin;Shin-Lien Lu

  • AWStream: adaptive wide-area streaming analytics

    Ben Zhang;Xin Jin;Sylvia Ratnasamy;John Wawrzynek

  • A Streaming Multi-Threaded Model

    Eylon Caspi;André DeHon;John Wawrzynek

  • Analysis of quasi-static scheduling techniques in a virtualized reconfigurable machine

    Yury Markovskiy;Eylon Caspi;Randy Huang;Joseph Yeh

  • The SFRA: a corner-turn FPGA architecture

    Nicholas Weaver;John Hauser;John Wawrzynek

  • Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs

    Yifan Yang;Qijing Huang;Bichen Wu;Tianjun Zhang

  • Instruction-Level Parallelism for Reconfigurable Computing

    Timothy J. Callahan;John Wawrzynek

  • Localization as a feature of mmWave communication

    Filip Lemic;James Martin;Christopher Yarp;Douglas Chan

  • Spert-II: a vector microprocessor system

    J. Wawrzynek;K. Asanovic;B. Kingsbury;D. Johnson

  • The Cloud is Not Enough: Saving IoT from the Cloud.

    Ben Zhang;Nitesh Mor;John Kolb;Douglas S. Chan

Frequent Co-Authors

Krste Asanovic
Krste Asanovic University of California, Berkeley
Nelson Morgan
Nelson Morgan International Computer Science Institute
André DeHon
André DeHon University of Pennsylvania
Jan M. Rabaey
Jan M. Rabaey University of California, Berkeley
Brian Kingsbury
Brian Kingsbury IBM (United States)
Kurt Keutzer
Kurt Keutzer University of California, Berkeley
John Kubiatowicz
John Kubiatowicz University of California, Berkeley
Edward A. Lee
Edward A. Lee University of California, Berkeley
Nicholas Weaver
Nicholas Weaver International Computer Science Institute
Carver A. Mead
Carver A. Mead California Institute of Technology

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Related Online Degrees & Career Pathways

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