PMAA18
10th International Workshop on Parallel Matrix Algorithms and Applications
10th International Workshop on Parallel Matrix Algorithms and Applications
June 27-29, 2018 // ETH Zurich // Zurich, Switzerland
Welcome to the 10th International Workshop on Parallel Matrix Algorithms and Applications (PMAA18).

Workshop Description

The Computer Science Department of ETH Zurich has the pleasure to host the

10th International Workshop on Parallel Matrix Algorithms and Applications (PMAA18).

The workshop aims at being a forum for an exchange of ideas, insights and experiences in different areas of parallel computing (Multicores, Manycores and GPUs) and applications in which matrix algorithms are employed.

The PMAA18 workshop will bring together experts and researchers from diverse disciplines with a common interest in matrix computation. The purpose of the workshop is to discuss recent developments in various aspects of parallel matrix algorithms and to bring together mathematicians, computational scientists and engineers. The workshop will focus on

  • Parallel methods for solving large sparse or dense linear systems of equations.
  • Parallel eigenvalue and singular value computations.
  • Automatic tuning and performance modeling.
  • Novel architectural paradigms (e.g. GPUs or multicores) and their use in matrix computations and applications.
  • Large scale scientific applications from diverse fields which have an emphasis on parallel matrix computation.

We invite you to submit scientific contributions in all fields of numerical analysis, scientific and industrial applications, software development, and high performance computing. From the submissions received, the Organizing Committee will select papers to be presented as oral contributions. We hope that this opportunity to present and discuss science will interest you, and we look forward to seeing you in Zurich!

Keynote Speakers

  • Chao Yang, Lawrence Berkeley National Laboratory, USA
  • Inderjit Dhillon, University of Texas at Austin, USA
  • Frédéric Nataf, Université Pierre et Marie Curie, Paris, FR
  • Edgar Solomonik, University of Illinois at Urbana-Champaign, USA