Optimizing parallel performance of streamline visualization for large distributed flow datasets

研究成果: Conference contribution

30 引用 (Scopus)

抜粋

Parallel performance has been a challenging topic in streamline visualization for large unstructured flow datasets on parallel distributed-memory computers. It depends strongly on domain partitions. Unsuitable partitions often lead to severe load imbalance and high frequent communications among the domain partitions. To address the problem, we present an approach to flow data partitioning taking account of flow directions and features. Multilevel spectral graph bisection method is employed to reduce communication and synchronization overhead among distributed domains. Edge weights in the corresponding adjacent matrix is defined based on an anisotropic local diffusion operator which assigns strong coupling along flow direction and weak coupling orthogonal to flow. Meanwhile, the distributions of seed points and flow features such as vortex structure are also considered in partitioning so as to obtain good load balance. The experimental results are given to show the feasibility and effectiveness of our method.

元の言語English
ホスト出版物のタイトルIEEE Pacific Visualisation Symposium 2008, PacificVis - Proceedings
ページ87-94
ページ数8
DOI
出版物ステータスPublished - 2008 8 25
外部発表Yes
イベント2008 Pacific Visualization Symposium, PacificVis 2008 - Kyoto, Japan
継続期間: 2008 3 42008 3 7

出版物シリーズ

名前IEEE Pacific Visualisation Symposium 2008, PacificVis - Proceedings

Other

Other2008 Pacific Visualization Symposium, PacificVis 2008
Japan
Kyoto
期間08/3/408/3/7

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Hardware and Architecture
  • Software

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  • これを引用

    Chen, L., & Fujishiro, I. (2008). Optimizing parallel performance of streamline visualization for large distributed flow datasets. : IEEE Pacific Visualisation Symposium 2008, PacificVis - Proceedings (pp. 87-94). [4475463] (IEEE Pacific Visualisation Symposium 2008, PacificVis - Proceedings). https://doi.org/10.1109/PACIFICVIS.2008.4475463