3rd Workshop on Parallel-in-Time Integration
Workshop, 26-28 May 2014, Jülich Supercomputing Centre, Forschungszentrum Jülich, Germany
Parallel Multi-level Methods in Space and Time
With million-way concurrency at hand, the efficient use of modern HPC systems has become one of the key challenges in computational science and engineering. Besides optimal implementation strategies, novel mathematical concepts are needed to fully exploit massively parallel architectures. For the numerical solution of time-dependent partial differential equations, time-parallel methods have recently shown to provide a promising way to extend prevailing strong-scaling limits of numerical codes. This workshop brings together scientists from the fields of multigrid methods and parallel-in-time integration in order to discuss similarities between parallel multilevel algorithms in space and time, their applications and their combination.
Participants
We thank the participants of the 3rd Workshop on Parallel-in-Time Integration for a very successful and productive meeting.
See you in Dresden 2015.
Organization
This workshop is the follow-up event of the 2013 workshop on "Innovative space-time-parallel methods: Analysis and Applications" at Manchester University and the 2011 workshop "Parallel-in-time Integration Schemes" at USI Lugano.
It is jointly organized by Jülich Supercomputing Centre, the Institute of Computational Science at Universita della Svizzera italiana and Bergische Universität Wuppertal within the DFG German Priority Programme 1648 “Software for Exascale Computing” (SPPEXA).
| Martin Gander | Université de Genève, Switzerland |
| Matthew Emmett | Lawrence Berkeley National Laboratory, USA |
| Scott MacLachlan | Tufts University, USA |
| Cornelius Oosterlee | TU Delft, Netherlands |
