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dc.contributor.authorRabbani, Amir H.en_US
dc.contributor.authorKhiat, Soufianeen_US
dc.contributor.editorHolden, Danielen_US
dc.date.accessioned2020-10-04T14:46:49Z
dc.date.available2020-10-04T14:46:49Z
dc.date.issued2020
dc.identifier.isbn978-3-03868-129-8
dc.identifier.issn1727-5288
dc.identifier.urihttps://doi.org/10.2312/sca.20201221
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/sca20201221
dc.description.abstractWe present separable Poisson filters to accelerate the projection step in Eulerian fluid simulation. These filters are analytically computed offline and are easy to integrate into any fluid algorithm with a Poisson pressure computation step. We take advantage of the recursive structure of the Jacobi method to construct and then reduce a kernel that is used to solve the Poisson pressure entirely on GPU. Our method demonstrates promising speedups that scale well with both the grid resolution and the target Jacobi iteration.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectPhysical simulation
dc.titleFast Eulerian Fluid Simulation In Games Using Poisson Filtersen_US
dc.description.seriesinformationEurographics/ ACM SIGGRAPH Symposium on Computer Animation - Showcases
dc.description.sectionheadersShowcases
dc.identifier.doi10.2312/sca.20201221
dc.identifier.pages11-13


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