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    Graph Partitioning Algorithms for Rigid Body Simulations

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    Date
    2022
    Author
    Liu, Yinchu
    Andrews, Sheldon ORCID
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    Abstract
    We propose several graph partitioning algorithms for improving the performance of rigid body simulations. The algorithms operate on the graph formed by rigid bodies (nodes) and constraints (edges), producing non-overlapping and contiguous sub-systems that can be simulated in parallel by a domain decomposition technique. We demonstrate that certain partitioning algorithms reduce the computational time of the solver, and graph refinement techniques that reduce coupling between sub-systems, such as the Kernighan-Lin and Fiduccia-Mattheyses algorithms, give additional performance improvements.
    BibTeX
    @inproceedings {10.2312:egs.20221036,
    booktitle = {Eurographics 2022 - Short Papers},
    editor = {Pelechano, Nuria and Vanderhaeghe, David},
    title = {{Graph Partitioning Algorithms for Rigid Body Simulations}},
    author = {Liu, Yinchu and Andrews, Sheldon},
    year = {2022},
    publisher = {The Eurographics Association},
    ISSN = {1017-4656},
    ISBN = {978-3-03868-169-4},
    DOI = {10.2312/egs.20221036}
    }
    URI
    https://doi.org/10.2312/egs.20221036
    https://diglib.eg.org:443/handle/10.2312/egs20221036
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