p4est: Parallel AMR on Forests of Octrees

The p4est software library enables the dynamic management of a collection of adaptive octrees, conveniently called a forest of octrees. p4est is designed to work in parallel and scale to hundreds of thousands of processor cores.

We have submitted a paper on p4est (see preprint).

p4est is under active development and will be released under the GNU GPL License version 2 (or later).

p4est uses libsc written by the same authors and others for basic helper functionality such as logging, array and hash data structures, parallel statistics, and more. libsc also integrates the third-party libraries zlib and lua. libsc is free software under LGPL v2.1 (or later).

Authors:
Carsten Burstedde
Lucas C. Wilcox
Tobin Isaac

Address:
ICES, The University of Texas at Austin
1 University Station C0200
Austin, Texas 78712, USA

Contact:
info-at-p4est.org