The conference will feature a plenary panel discussion on the role of machine learning in the field of preconditioning. The panelists will first present a survey or tutorial on the potential of using machine learning for preconditioning (and vice-versa) before opening the floor for a general discussion on exploiting the synergies between machine learning and preconditioning.
Conference Themes
The themes to be covered at the conference include, but are not limited to, the following:
- Nonlinear preconditioning
- Machine learning for preconditioning and preconditioning for machine learning
- Preconditioning for inverse problems
- Randomized algorithms for preconditioning
- Mixed-precision preconditioning
- High-performance and parallel preconditioning and software
- Preconditioning for data assimilation
- Domain decomposition and multigrid methods
- Physics-based preconditioners
- Algebraic preconditioners: incomplete factorizations and sparse approximate inverses
- Preconditioning for indefinite and saddle point problems
- Inexact solvers
- Hierarchical matrices and structured matrix approximation
Invited Speakers
Minisymposia and Contributed Talks
The conference invites minisymposia (a set of 3 or 4 related talks) and contributed talks. The submission deadline is April 29, 2024. Only tentative titles are required at this moment and talk abstracts will be collected at a later date.
Organizers
Conference Chairs
- Esmond G. Ng, Lawrence Berkeley National Laboratory, USA
- Yousef Saad, University of Minnesota, USA
- Andy Wathen, University of Oxford, UK
Local Organization Committee
- Edmond Chow, Georgia Institute of Technology, USA
- Yuanzhe Xi, Emory University, USA
Program Committee
- Edmond Chow (co-chair, SIAM rep.), Georgia Institute of Technology, USA
- Yuanzhe Xi (co-chair), Emory University, USA
- Hartwig Anzt, University of Tennessee, USA
- Michele Benzi, Scuola Normale Superiore, Italy
- Matthias Bollhoefer, TU Braunschweig, Germany
- Erik Boman, Sandia National Laboratories, USA
- Jed Brown, University of Colorado Boulder, USA
- Xiao-Chuan Cai, University of Macau, China
- Victorita Dolean, TU Eindhoven, Netherlands
- Melina Freitag, University of Potsdam, Germany
- Chen Greif, University of British Columbia, Canada
- Luke Olson, University of Illinois at Urbana-Champaign, USA
- Daniel Osei-Kuffuor, Lawrence Livermore National Laboratory, USA
- John Pearson, University of Edinburgh, Scotland
- Wil Schilders, TU Eindhoven, Netherlands
- Nicole Spillane, École Polytechnique, France
- Martin Stoll, TU Chemnitz, Germany
- Miroslav Tuma, Charles University, Czech Republic
- Qiang Ye, University of Kentucky, USA
- Irad Yavneh, Technion, Israel
- Rio Yokota, Tokyo Institute of Technology, Japan
Sponsors
