Innovative space-time-parallel methods: Analysis and Applications
June 18-19, 2013

Space-and-time parallel methods are becoming increasingly popular for making better use of available computational resources for the solution of time-dependent partial differential equations. This is achieved by parallelisation not only taking place on the spatial variables (as with classical domain decomposition), but also in the time direction. The aim of this workshop is to bring together researchers working on space-and-time parallel methods to discuss recent advances and future directions.

Invited speakers:

• Martin J. Gander, Université de Genève, Switzerland
• Yvon Maday, Université Pierre et Marie Curie, France
• Michael Minion, Stanford University, USA
• Benjamin Ong, Michigan State University, USA

Organizer: Stefan Güttel, The University of Manchester, UK

Thanks to Lenox Green and Debasmita Samaddar for the pictures.

Funded by the London Mathematical Society, the EPSRC Network on Numerical Algorithms and High Performance Computing, and the School of Mathematics at The University of Manchester.