Conference paper Open Access
Feature-Aligned Poly-Square Mapping of Large-Scale 2D Geometries for Semi-Structured Quad Mesh Generation
Liu, Celong; Hu, Kelin; Chen, Qin; Li, Xin
We develop a distributed algorithm to compute feature-aligned poly-square maps for large-scale 2D geometric regions and use it to construct low-distortion semi-structured quad meshes. Our proposed algorithm has two main compo- nents. The first is a feature-aware graph partitioning that considers workload balancing, minimal communication, geometric regularity, and feature-preserving. The second is a feature-preserved poly-square parameterization. We demonstrate that our algorithm is effective on meshing huge complex coastal/terrain data and can consequently benefit scientific simulations that run on such meshes using high-performance computer clusters.
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- Publication date:
- February 6, 2020
- DOI:
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- Keyword(s):
- Large-scale Geometric Data Processing Feature-aware Graph Partitioning Semi-structured Quad Mesh Generation
- Meeting:
- 28th International Meshing Roundtable (IMR), Buffalo, New York, USA, October 14-17, 2019
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International