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Robert van de Geijn

Professor of Computer Science at The University of Texas at Austin

Areas of expertise

  • Linear Algebra
  • High-performance Computing
  • Parallel Computing
  • Formal Derivation of Algorithms

Major works

Linear Algebra: Foundations to Frontiers - Notes to LAFF With
by Maggie Myers, Pierce van de Geijn, and Robert van de Geijn

The Science of Deriving Dense Linear Algebra Algorithms
by Paolo Bientinesi, John A. Gunnels, Margaret E. Myers, Enrique S. Quintana-Orti, Robert A. van de Geijn

Anatomy of High-Performance Matrix Multiplication
by Kazushige Goto, Robert A. van de Geijn

The BLIS Framework: Experiments in Portability
by Field G. Van Zee, Tyler Smith, Bryan Marker, Tze Meng Low, Robert A. van de Geijn, Francisco D. Igual, Mikhail Smelyanskiy, Xianyi Zhang, Michael Kistler, Vernon Austel, John Gunnels, Lee Killough

Recipient of the Society for Industrial and Applied Mathematics (SIAM) Activity Group on Scientific Computing Best Paper Prize 2020

About Me

With a Ph.D. in applied mathematics, Robert van de Geijn is a professor of Computer Science and a member of the Oden Institute for Computational Engineering and Science and the Division of Statistics and Scientific Computation at the University of Texas at Austin.

Prof. van de Geijn is a leading expert in the areas of high-performance computing, linear algebra libraries, parallel processing, and formal derivation of algorithms. He is the recipient of the 2007-2008 President’s Associates Teaching Excellence Award from The University of Texas at Austin.

Courses and Programs taught by Robert van de Geijn