Brief overview

The Conference Board of Mathematical Sciences is pleased to host a parallel-in-time training workshop, August 1 -5, 2022 at Michigan Technological University in Houghton, Michigan. More details can be found on the workshop website.

The primary focus of the proposed parallel-in-time workshop is to educate and inspire researchers and students in new and innovative numerical techniques for the parallel-in-time solution of large-scale evolution problems on modern supercomputing architectures, and to stimulate further studies in their analysis and applications. This workshop aligns with the National Strategic Computing Initiative (NSCI) objective: “increase coherence between technology for modeling/simulation and data analytics”. The conference will feature ten lectures by Professor Gander, an expert in parallel time integration. Using appropriate mathematical methodologies from the theory of partial differential equations in a functional analytic setting, numerical discretizations, integration techniques, and convergence analyses of these iterative methods, conference participants will be exposed to the numerical analysis of parallel-in-time methodologies and their implementations. The proposed topics include multiple shooting type methods, waveform relaxation methods, time-multigrid methods, and direct time-parallel methods. These lectures will be accessible to a wide audience from a broad range of disciplines, including mathematics, computer science and engineering.

We gratefully acknowledge support from:

  • National Science Foundation
  • Igor Kliakhandler
  • Michigan Technological University, Department of Mathematical Sciences

There will be travel funding for early career researchers available. Application details and deadlines will be posted shortly.