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D-Index & Metrics

Computer Science

D-Index
54
Citations
9989
World Ranking
4629
National Ranking
2151

Overview

Robert A. van de Geijn is affiliated with The University of Texas at Austin in the United States. Their research primarily spans the field of Computer Science, with a focus on subfields such as Hardware and Architecture, Computer Networks and Communications, Computational Theory and Mathematics, Electrical and Electronic Engineering, and Computational Mathematics.

The scientist's work encompasses a range of main research topics including Parallel Computing and Optimization Techniques, Interconnection Networks and Systems, Advanced Data Storage Technologies, Distributed and Parallel Computing Systems, Low-power high-performance VLSI design, Tensor decomposition and applications, and Cellular Automata and Applications.

Recent publications by Robert A. van de Geijn include:

  • Strassen's Algorithm Reloaded on GPUs (2020) published in ACM Transactions on Mathematical Software
  • Supporting Mixed-domain Mixed-precision Matrix Multiplication within the BLIS Framework (2021) published in ACM Transactions on Mathematical Software
  • A Tight I/O Lower Bound for Matrix Multiplication (2020) published in ACM Transactions on Mathematical Software
  • Cascading GEMM: High Precision from Low Precision (2023) published in arXiv (Cornell University)
  • GEMMFIP: Unifying GEMM in BLIS (2023) published in arXiv (Cornell University)

The scientist frequently publishes in venues such as arXiv (Cornell University) and ACM Transactions on Mathematical Software.

Frequent co-authors include Margaret Myers, Devangi N. Parikh, Jianyu Huang, Chenhan D. Yu, and Tyler Smith, reflecting collaboration across multiple recent works.

Best Publications

  • Anatomy of high-performance matrix multiplication

    Kazushige Goto;Robert A. van de Geijn

  • SUMMA: Scalable Universal Matrix Multiplication Algorithm

    Robert A. van de Geijn;Jerrell Watts

  • High-performance implementation of the level-3 BLAS

    Kazushige Goto;Robert Van De Geijn

  • BLIS: A Framework for Rapidly Instantiating BLAS Functionality

    Field G. Van Zee;Robert A. van de Geijn

  • FLAME: Formal Linear Algebra Methods Environment

    John A. Gunnels;Fred G. Gustavson;Greg M. Henry;Robert A. van de Geijn

  • Collective communication: theory, practice, and experience

    Ernie Chan;Marcel Heimlich;Avi Purkayastha;Robert A. van de Geijn

  • Using PLAPACK: parallel linear algebra package

    Robert A. van de Geijn

  • Elemental: A New Framework for Distributed Memory Dense Matrix Computations

    Jack Poulson;Bryan Marker;Robert A. van de Geijn;Jeff R. Hammond

  • The science of deriving dense linear algebra algorithms

    Paolo Bientinesi;John A. Gunnels;Margaret E. Myers;Enrique S. Quintana-Ortí

  • Programming matrix algorithms-by-blocks for thread-level parallelism

    Gregorio Quintana-Ortí;Enrique S. Quintana-Ortí;Robert A. Van De Geijn;Field G. Van Zee

  • Supermatrix out-of-order scheduling of matrix operations for SMP and multi-core architectures

    Ernie Chan;Enrique S. Quintana-Orti;Gregorio Quintana-Orti;Robert van de Geijn

  • Parallel out-of-core computation and updating of the QR factorization

    Brian C. Gunter;Robert A. Van De Geijn

  • Anatomy of High-Performance Many-Threaded Matrix Multiplication

    Tyler M. Smith;Robert van de Geijn;Mikhail Smelyanskiy;Jeff R. Hammond

  • Solving dense linear systems on platforms with multiple hardware accelerators

    Gregorio Quintana-Ortí;Francisco D. Igual;Enrique S. Quintana-Ortí;Robert A. van de Geijn

  • Broadcasting on Meshes with Wormhole Routing

    Michael Barnett;David G. Payne;Robert A. van de Geijn;Jerrell Watts

  • SuperMatrix: a multithreaded runtime scheduling system for algorithms-by-blocks

    Ernie Chan;Field G. Van Zee;Paolo Bientinesi;Enrique S. Quintana-Orti

  • A look at scalable dense linear algebra libraries

    J. Dongarra;R. van de Geijn;D. Walker

  • The libflame Library for Dense Matrix Computations

    Field G. Van Zee;Ernie Chan;Robert A. van de Geijn;Enrique S. Quintana-Ortí

  • The BLIS Framework: Experiments in Portability

    Field G. Van Zee;Tyler M. Smith;Bryan Marker;Tze Meng Low

  • A Note On Parallel Matrix Inversion

    Enrique S. Quintana;Gregorio Quintana;Xiaobai Sun;Robert vande Geijn

  • Representing linear algebra algorithms in code: the FLAME application program interfaces

    Paolo Bientinesi;Enrique S. Quintana-Ortí;Robert A. van de Geijn

Frequent Co-Authors

Enrique S. Quintana-Ortí
Enrique S. Quintana-Ortí Universitat Politècnica de València
John A. Gunnels
John A. Gunnels Nvidia (United States)
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Don Batory
Don Batory The University of Texas at Austin
Andreas Gerstlauer
Andreas Gerstlauer The University of Texas at Austin
Tamara G. Kolda
Tamara G. Kolda Independent Scientist / Consultant, US
Mikhail Smelyanskiy
Mikhail Smelyanskiy Nvidia (United States)
Fred G. Gustavson
Fred G. Gustavson Umeå University
Daniel S. Katz
Daniel S. Katz University of Illinois at Urbana-Champaign
Nam Sung Kim
Nam Sung Kim University of Illinois at Urbana-Champaign

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