English

Coarse mesh partitioning for tree based AMR

Distributed, Parallel, and Cluster Computing 2016-11-10 v1

Abstract

In tree based adaptive mesh refinement, elements are partitioned between processes using a space filling curve. The curve establishes an ordering between all elements that derive from the same root element, the tree. When representing more complex geometries by patching together several trees, the roots of these trees form an unstructured coarse mesh. We present an algorithm to partition the elements of the coarse mesh such that (a) the fine mesh can be load-balanced to equal element counts per process regardless of the element-to-tree map and (b) each process that holds fine mesh elements has access to the meta data of all relevant trees. As an additional feature, the algorithm partitions the meta data of relevant ghost (halo) trees as well. We develop in detail how each process computes the communication pattern for the partition routine without handshaking and with minimal data movement. We demonstrate the scalability of this approach on up to 917e3 MPI ranks and .37e12 coarse mesh elements, measuring run times of one second or less.

Keywords

Cite

@article{arxiv.1611.02929,
  title  = {Coarse mesh partitioning for tree based AMR},
  author = {Carsten Burstedde and Johannes Holke},
  journal= {arXiv preprint arXiv:1611.02929},
  year   = {2016}
}

Comments

28 pages, 11 figures, 6 tables

R2 v1 2026-06-22T16:47:05.260Z