World's Best Scientists 2026 revealed!
Award Badge
Electronics and Electrical Engineering
UK
2026
Award Badge
Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
108
Citations
84601
World Ranking
249
National Ranking
11

Electronics and Electrical Engineering

D-Index
101
Citations
76748
World Ranking
168
National Ranking
5

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in United Kingdom Leader Award
  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2010 - ACM - IEEE CS Eckert-Mauchly Award For outstanding contributions to the architecture of interconnection networks and parallel computers.
  • 2009 - Member of the National Academy of Engineering For contributions to the design of high-performance interconnect networks and parallel computer architectures.
  • 2007 - Fellow of the American Academy of Arts and Sciences
  • 2002 - ACM Fellow For contributions to the architecture and design of interconnections networks and parallel computing.

Overview

William J. Dally is affiliated with Nvidia in the United Kingdom and has contributed extensively to the fields of computer science and engineering. Their research primarily focuses on subfields such as electrical and electronic engineering, computer vision and pattern recognition, hardware and architecture, computer networks and communications, and artificial intelligence.

The scientist's work spans several topics including advanced neural network applications, parallel computing and optimization techniques, advanced data storage technologies, advanced memory and neural computing, ferroelectric and negative capacitance devices, interconnection networks and systems, and advanced image and video retrieval techniques.

The recent papers authored or co-authored by William J. Dally include:

  • "Domain-specific hardware accelerators," 2020, Communications of the ACM
  • "Evolution of the Graphics Processing Unit (GPU)," 2021, IEEE Micro

Frequent co-authors collaborating with William J. Dally include:

  • Brian Zimmer
  • Brucek Khailany
  • Rangharajan Venkatesan
  • Stephen G. Tell
  • C. Thomas Gray

The scientist has published in various venues, with notable frequent publication outlets being:

  • arXiv (Cornell University)
  • IEEE Journal of Solid-State Circuits
  • Communications of the ACM
  • IEEE Micro
  • 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)

William J. Dally has received several awards acknowledging their contributions to computer architecture and parallel computing, including:

  • ACM - IEEE CS Eckert-Mauchly Award (2010) for outstanding contributions to the architecture of interconnection networks and parallel computers
  • Member of the National Academy of Engineering (2009) for contributions to the design of high-performance interconnect networks and parallel computer architectures
  • Fellow of the American Academy of Arts and Sciences (2007)
  • ACM Fellow (2002) for contributions to the architecture and design of interconnection networks and parallel computing

Best Publications

  • Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

    Song Han;Huizi Mao;William J. Dally;William J. Dally

  • SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

    Forrest N. Iandola;Song Han;Matthew W. Moskewicz;Khalid Ashraf

  • Principles and Practices of Interconnection Networks

    William James Dally;Brian Patrick Towles

  • Route packets, not wires: on-chip interconnection networks

    William J. Dally;Brian Towles

  • Learning both weights and connections for efficient neural networks

    Song Han;Jeff Pool;John Tran;William J. Dally

  • Virtual-channel flow control

    William J. Dally

  • EIE: efficient inference engine on compressed deep neural network

    Song Han;Xingyu Liu;Huizi Mao;Jing Pu

  • Performance analysis of k -ary n -cube interconnection networks

    William J. Dally

  • Digital Systems Engineering

    William J. Dally;John W. Poulton

  • The GPU Computing Era

    John Nickolls;William J Dally

  • Memory access scheduling

    Scott Rixner;William J. Dally;Ujval J. Kapasi;Peter Mattson

  • The Torus Routing Chip

    William J. Dally;Charles L. Seitz

  • Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

    Yujun Lin;Song Han;Huizi Mao;Yu Wang

  • SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks

    Angshuman Parashar;Minsoo Rhu;Anurag Mukkara;Antonio Puglielli

  • Trained Ternary Quantization

    Chenzhuo Zhu;Song Han;Huizi Mao;William J. Dally

  • A detailed and flexible cycle-accurate Network-on-Chip simulator

    Nan Jiang;Daniel U. Becker;George Michelogiannakis;James Balfour

  • GPUs and the Future of Parallel Computing

    S. W. Keckler;W. J. Dally;B. Khailany;M. Garland

  • Deadlock-free adaptive routing in multicomputer networks using virtual channels

    W.J. Dally;H. Aoki

  • A delay model and speculative architecture for pipelined routers

    L.-S. Peh;W.J. Dally

  • Design tradeoffs for tiled CMP on-chip networks

    James Balfour;William J. Dally

  • Deadlock-free message routing in multiprocessor interconnection networks

    William J. Dally;Charles L. Seitz

Frequent Co-Authors

Brucek Khailany
Brucek Khailany Nvidia (United States)
Stephen W. Keckler
Stephen W. Keckler Nvidia (United States)
Scott Rixner
Scott Rixner Rice University
John D. Owens
John D. Owens University of California, Davis
Jung Ho Ahn
Jung Ho Ahn Seoul National University
Mattan Erez
Mattan Erez The University of Texas at Austin
Mark Horowitz
Mark Horowitz Stanford University
Gill Bejerano
Gill Bejerano Stanford University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those exploring Electronics and Electrical Engineering, considering related online degrees can expand career opportunities. Programs such as an instructional design degree online offer skills in educational technology and course development, which can be valuable in training or technical communications roles within engineering fields.

Flexible learning options like those provided by the best competency-based colleges allow students to progress based on their skill mastery rather than time spent in class, making it easier to balance work and study. This approach is especially helpful for professionals aiming to upskill quickly.

Military spouses and dependents often face unique challenges in education access. Thankfully, several colleges for military spouses provide tailored support and flexible online learning environments, ensuring a smooth academic journey regardless of location.

For those ready to begin their studies immediately, many online colleges starting soon offer frequent start dates, enabling quick enrollment and faster entry into the workforce or career advancement.

Best Scientists Citing William J. Dally

Trending Scientists

Recently Published Articles