World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
69
Citations
16402
World Ranking
1995
National Ranking
1007

Research.com Recognitions

  • 2007 - ACM Fellow For contributions to compiler support for parallel computing.
  • 2000 - IEEE Fellow For contributions to compiler technology for parallel computing.

Overview

David Padua is affiliated with the University of Illinois at Urbana-Champaign in the United States, specializing primarily in Computer Science and Medicine. Their research focuses extensively on areas such as Parallel Computing and Optimization Techniques, Interconnection Networks and Systems, and Distributed and Parallel Computing Systems. Additional interests include Computability, Logic, AI Algorithms, Knee injuries and reconstruction techniques, Sports injuries and prevention, and Orthopedic Surgery and Rehabilitation.

Padua's work spans several subfields, including Hardware and Architecture, Computer Networks and Communications, Surgery, Computational Theory and Mathematics, and Orthopedics and Sports Medicine.

The scientist has contributed to a number of recent publications. These include:

  • NSF/IEEE-TCPP Curriculum Initiative on Parallel and Distributed Computing Core Topics for Undergraduates, 2024, HAL (Le Centre pour la Communication Scientifique Directe)
  • Quadriceps Strength Does Not Associate with Gait Adaptation Ability in Individuals with Anterior Cruciate Ligament Reconstruction, 2024, UNC Libraries
  • Message from the Organizing Committee, 2025, Indian Journal of Psychiatry

Frequent coauthors collaborating with Padua include:

  • Robert H. Kuhn
  • Sushil K. Prasad
  • Almadena Chtchelkanova
  • Sajal K. Das
  • Frank Dehne

Publication venues where Padua has most often published work include HAL (Le Centre pour la Communication Scientifique Directe), UNC Libraries, and the Indian Journal of Psychiatry.

Among book publications, Padua is credited with a title published by Morgan & Claypool Publishers: Parallel Processing, 1980 to 2020 (2020).

Recognition for contributions in the field includes election as an ACM Fellow in 2007 for contributions to compiler support for parallel computing, as well as IEEE Fellow status awarded in 2000 for contributions to compiler technology for parallel computing.

Best Publications

  • Advanced compiler optimizations for supercomputers

    David A. Padua;Michael J. Wolfe

  • SPIRAL: Code Generation for DSP Transforms

    M. Puschel;J.M.F. Moura;J.R. Johnson;D. Padua

  • The LRPD test: speculative run-time parallelization of loops with privatization and reduction parallelization

    L. Rauchwerger;D.A. Padua

  • Dependence graphs and compiler optimizations

    D. J. Kuck;R. H. Kuhn;D. A. Padua;B. Leasure

  • Automatic array privatization

    Peng Tu;David Padua

  • Parallel programming with Polaris

    W. Blume;R. Doallo;R. Doallo;R. Doallo;R. Eigenmann;R. Eigenmann;J. Grout

  • Automatic program parallelization

    U. Banerjee;R. Eigenmann;A. Nicolau;D.A. Padua

  • An Evaluation of Vectorizing Compilers

    Saeed Maleki;Yaoqing Gao;Maria J. Garzar´n;Tommy Wong

  • SPL: a language and compiler for DSP algorithms

    Jianxin Xiong;Jeremy Johnson;Robert Johnson;David Padua

  • Spiral: A Generator for Platform-Adapted Libraries of Signal Processing Algorithms

    Markus Püschel;José M. F. Moura;Bryan Singer;Jianxin Xiong

  • Encyclopedia of Parallel Computing

    David Padua

  • Estimating cache misses and locality using stack distances

    Calin CaΒcaval;David A. Padua

  • Compiler Algorithms for Synchronization

    Samuel P. Midkiff;David A. Padua

  • A comparison of empirical and model-driven optimization

    Kamen Yotov;Xiaoming Li;Gang Ren;Michael Cibulskis

  • A comparison of empirical and model-driven optimization

    Unknown

  • Gated SSA-based demand-driven symbolic analysis for parallelizing compilers

    Peng Tu;David Padua

  • Is Search Really Necessary to Generate High-Performance BLAS?

    K. Yotov;Xiaoming Li;Gang Ren;M.J.S. Garzaran

  • Programming for parallelism and locality with hierarchically tiled arrays

    Ganesh Bikshandi;Jia Guo;Daniel Hoeflinger;Gheorghe Almasi

  • Experience in the Automatic Parallelization of Four Perfect-Benchmark Programs

    Rudolf Eigenmann;Jay Hoeflinger;Z. Li;David A. Padua

  • On the automatic parallelization of the Perfect Benchmarks(R)

    R. Eigenmann;J. Hoeflinger;D. Padua

  • Special Issue on Program Generation, Optimization, and Platform Adaptation

    J.M.F. Moura;M. Puschel;D. Padua;J. Dongarra

  • Automatic program parallelization : Languages and compilers

    Uptal Banerjee;R. Eigenmann;A. Nicolau;D. A. Padua

Frequent Co-Authors

Rudolf Eigenmann
Rudolf Eigenmann University of Delaware
Samuel P. Midkiff
Samuel P. Midkiff Purdue University West Lafayette
Alexandru Nicolau
Alexandru Nicolau University of California, Irvine
Lawrence Rauchwerger
Lawrence Rauchwerger University of Illinois at Urbana-Champaign
Keshav Pingali
Keshav Pingali The University of Texas at Austin
Josep Torrellas
Josep Torrellas University of Illinois at Urbana-Champaign
David Gelernter
David Gelernter Yale University
Mary Hall
Mary Hall University of Utah
Albert Cohen
Albert Cohen Google (United States)

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