Guaranteed-quality parallel Delaunay refinement for restricted polyhedral domains

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Abstract

We describe a distributed memory parallel Delaunay refinement algorithm for simple polyhedral domains whose constituent bounding edges and surfaces are separated by angles between 90° to 270° inclusive. With these constraints, our algorithm can generate meshes containing tetrahedra with circumradius to shortest edge ratio less than 2, and can tolerate more than 80% of the communication latency caused by unpredictable and variable remote gather operations.

Our experiments show that the algorithm is efficient in practice, even for certain domains whose boundaries do not conform to the theoretical limits imposed by the algorithm. The algorithm we describe is the first step in the development of much more sophisticated guaranteed-quality parallel mesh generation algorithms.

Keywords

Delaunay triangulation
Guaranteed-quality mesh generation
Parallel mesh generation
Distributed mesh data structures

Cited by (0)

1

Supported by the NSF CISE Challenge #EIA-9726388, NSF Career Award #CCR-0049086, and NIH National Center for Research Resources #P41 RR06009.

2

Supported by the NSF Career Award #CCR-0049086, and by NSF grants CISE Challenge #EIA-9726388, Research Infrastructure #EIA-9972853, ITR grant #ACI-0085969 and NGS grant ANI-0203974.

3

Supported by NSF ITR #ACI-0085969, NSF Challenges in CISE #EIA-9726388, NSF CISE Research Infrastructure #EIA-9972853 and NSF #CCR-9988519.