World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
81
Citations
29041
World Ranking
1007
National Ranking
537

Research.com Recognitions

  • 2002 - ACM Fellow For technical contributions and leadership in computer architecture.
  • 1999 - ACM Grace Murray Hopper Award For the design and implementation of the IMPACT compiler infrastructure which has been used extensively both by the microprocessor industry as a baseline for product development and by academia as a basis for advanced research and development in computer architecture and compiler design.

Overview

Wen-mei W. Hwu is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research primarily focuses on computer science, with a significant number of publications in this field.

The main areas of study encompass several subfields, including:

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

Major topics covered in their work include:

  • Parallel Computing and Optimization Techniques
  • Advanced Graph Neural Networks
  • Advanced Neural Network Applications
  • Topic Modeling
  • Graph Theory and Algorithms
  • Natural Language Processing Techniques
  • Advanced Data Storage Technologies

Wen-mei W. Hwu has contributed to a variety of research papers. Some of the recent publications are:

  • "EMOGI" (2020), published in Proceedings of the VLDB Endowment
  • "PyLog: An Algorithm-Centric Python-Based FPGA Programming and Synthesis Flow" (2021), published in IEEE Transactions on Computers
  • "Efficient Methods for Mapping Neural Machine Translator on FPGAs" (2020), published in IEEE Transactions on Parallel and Distributed Systems
  • "Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation" (2020), published in arXiv (Cornell University)
  • "Exploring HW/SW Co-Design for Video Analysis on CPU-FPGA Heterogeneous Systems" (2021), published in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

The most frequent venues for publishing research include:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • IEEE Transactions on Computers
  • IEEE Transactions on Parallel and Distributed Systems
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Collaborations with other researchers have been an important part of Wen-mei W. Hwu's work. The most frequent co-authors include:

  • Jinjun Xiong
  • Izzat El Hajj
  • David B. Kirk
  • Vikram Sharma Mailthody
  • Deming Chen

Wen-mei W. Hwu has been recognized with awards such as the ACM Fellow (2002) for technical contributions and leadership in computer architecture, and the ACM Grace Murray Hopper Award (1999) for the design and implementation of the IMPACT compiler infrastructure, which has been influential in both industry and academia.

Best Publications

  • Programming Massively Parallel Processors: A Hands-on Approach

    David B. Kirk;Wen-mei W. Hwu

  • Optimization principles and application performance evaluation of a multithreaded GPU using CUDA

    Shane Ryoo;Christopher I. Rodrigues;Sara S. Baghsorkhi;Sam S. Stone

  • A power controlled multiple access protocol for wireless packet networks

    J.P. Monks;V. Bharghavan;W.-M.W. Hwu

  • Parboil: A Revised Benchmark Suite for Scientific and Commercial Throughput Computing

    John A. Stratton;Christopher Rodrigues;I-Jui Sung;Nady Obeid

  • The superblock: an effective technique for VLIW and superscalar compilation

    Wen-Mei W. Hwu;Scott A. Mahlke;William Y. Chen;Pohua P. Chang

  • IMPACT: an architectural framework for multiple-instruction-issue processors

    Pohua P. Chang;Scott A. Mahlke;William Y. Chen;Nancy J. Warter

  • PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference

    Aayush Ankit;Izzat El Hajj;Sai Rahul Chalamalasetti;Geoffrey Ndu

  • Accelerating advanced MRI reconstructions on GPUs

    S. S. Stone;J. P. Haldar;S. C. Tsao;W. m. W. Hwu

  • An adaptive performance modeling tool for GPU architectures

    Sara S. Baghsorkhi;Matthieu Delahaye;Sanjay J. Patel;William D. Gropp

  • GPU Computing Gems Emerald Edition

    Wen-mei W. Hwu

  • MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs

    John A. Stratton;Sam S. Stone;Wen-Mei W. Hwu

  • Program optimization space pruning for a multithreaded gpu

    Shane Ryoo;Christopher I. Rodrigues;Sam S. Stone;Sara S. Baghsorkhi

  • Checkpoint Repair for High-Performance Out-of-Order Execution Machines

    Wen-Mei W. Hwu;Yale N. Patt

  • DNNBuilder: an automated tool for building high-performance DNN hardware accelerators for FPGAs

    Xiaofan Zhang;Junsong Wang;Chao Zhu;Yonghua Lin

  • Using profile information to assist classic code optimizations

    Pohua P. Chang;Scott A. Mahlke;Wen-mei W. Hwu

  • CUDA-Lite: Reducing GPU Programming Complexity

    Sain-Zee Ueng;Melvin Lathara;Sara S. Baghsorkhi;Wen-Mei W. Hwu

  • GPU clusters for high-performance computing

    Volodymyr V. Kindratenko;Jeremy J. Enos;Guochun Shi;Michael T. Showerman

  • An effective GPU implementation of breadth-first search

    Lijuan Luo;Martin Wong;Wen-mei Hwu

  • Achieving High Instruction Cache Performance With An Optimizing Compiler

    W. W. Hwu;P. P. Chang

  • Programming Massively Parallel Processors

    David B. Kirk;Wen-mei W. Hwu

  • The superblock: an effective technique for VLIW and superscalar compilation

    Wen-Mei W. Hwu;Scott A. Mahlke;William Y. Chen;Pohua P. Chang

Frequent Co-Authors

Deming Chen
Deming Chen University of Illinois at Urbana-Champaign
Scott Mahlke
Scott Mahlke University of Michigan–Ann Arbor
Thomas M. Conte
Thomas M. Conte Georgia Institute of Technology
Yale N. Patt
Yale N. Patt The University of Texas at Austin
David I. August
David I. August Princeton University
Sanjay J. Patel
Sanjay J. Patel University of Illinois at Urbana-Champaign
Bradley P. Sutton
Bradley P. Sutton University of Illinois at Urbana-Champaign
Justin P. Haldar
Justin P. Haldar University of Southern California
Zhi-Pei Liang
Zhi-Pei Liang University of Illinois at Urbana-Champaign
Weng Cho Chew
Weng Cho Chew Purdue University West Lafayette

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