The p4est software for parallel adaptive mesh refinement — growth, harvest, and carpentry

We have reopened the application for the online event this year during week of the original conference. The website will remain open until July 10th. Information on the format and contents will be made at

Dates: July 20 - July 24, 2020

Organizers: Carsten Burstedde (Bonn), Lucas C. Wilcox (Naval Postgraduate School, Monterey USA), Tobin Isaac (Georgia Institute of Technology, USA)

Adaptive mesh refinement (AMR) is a key technique for the numerical solution of partial differential equations. When using AMR for large-scale simulation, computation is performed in parallel and mesh data becomes distributed, which has motivated extensive algorithms research. One of the most scalable and well-known sets of algorithms is implemented in the p4est software. This Hausdorff School will provide the unique opportunity to gain in-depth knowledge from p4est´s principal authors and to learn about the use of p4est via three separate, application-oriented software projects, namely PETSc, deal.II, and ForestClaw.

Key Speakers: The following speakers will give a lecture series:

  • Carsten Burstedde (Bonn)
  • Tobin Isaac (Georgia Institute of Technology, Atlanta, USA)
  • Lucas C. Wilcox (Naval Postgraduate School, Monterey, USA)

Additional Speakers:

  • Donna Calhoun (Boise State University, USA)
  • Timo Heister (Clemson University, USA)

The schedule will be announced in due time.

In case you are interested in participating in the Hausdorff school, please fill out the application form. The deadline for applications is July 10th.

In case of questions, please contact Carsten Burstedde at p4est(at)