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Computing a Voronoi or Delaunay tessellation from a set of points is a core part of the analysis of many simulated and measured datasets. As the scale of simulations and observations surpasses billions of particles, a distributed-memory scalable parallel algorithm is the only feasible approach. The primary contribution of this software is a distributed-memory parallel Delaunay and Voronoi tessellation algorithm based on existing serial computational geometry libraries that automatically determines which neighbor points need to be exchanged among the subdomains of a spatial decomposition. Other contributions include the addition of periodic and wall boundary conditions.
Authors:
Publication Date:
OSTI Identifier:
1232083
Report Number(s):
TESS; 003370MLTPL00
R&D Project: B&R # KJ0402 Project Number 57K5000145; ANL-SF-14-081
DOE Contract Number:
AC02-06CH11357
Resource Type:
Software
Software Revision:
00
Software Package Number:
003370
Software Package Contents:
Open Source Software package available from Argonne National Laboratory at the following URL: https://bitbucket.org/diatomic/tess
Software CPU:
MLTPL
Open Source:
Yes
Source Code Available:
Yes
Research Org:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States

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