Constrained Neighbor Lists for SPH-based Fluid Simulations

dc.contributor.authorWinchenbach, Reneen_US
dc.contributor.authorHochstetter, Hendriken_US
dc.contributor.authorKolb, Andreasen_US
dc.contributor.editorLadislav Kavan and Chris Wojtanen_US
dc.date.accessioned2016-07-10T12:51:38Z
dc.date.available2016-07-10T12:51:38Z
dc.date.issued2016
dc.description.abstractIn this paper we present a new approach to create neighbor lists with strict memory bounds for incompressible Smoothed Particle Hydrodynamics (SPH) simulations. Our proposed approach is based on a novel efficient predictive-corrective algorithm that locally adjusts particle support radii in order to yield neighborhoods of a user-defined maximum size. Due to the improved estimation of the initial support radius, our algorithm is able to efficiently calculate neighborhoods in a single iteration in almost any situation. We compare our neighbor list algorithm to previous approaches and show that our proposed approach can handle larger particle numbers on a single GPU due to its strict guarantees and is able to simulate more particles in real time due to its benefits in regard to performance. Additionally we demonstrate the versatility and stability of our approach in several different scenarios, for example multi-scale simulations and with different kernel functions.en_US
dc.description.sectionheadersPointy Fluids
dc.description.seriesinformationEurographics/ ACM SIGGRAPH Symposium on Computer Animation
dc.identifier.doi10.2312/sca.20161222
dc.identifier.isbn978-3-03868-009-3
dc.identifier.issn1727-5288
dc.identifier.pages49-56
dc.identifier.urihttps://doi.org/10.2312/sca.20161222
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/sca20161222
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]
dc.subjectThree Dimensional Graphics and Realism
dc.subjectAnimation
dc.subjectI.6.8 [Simulation and Modeling ]
dc.subjectTypes of Simulation
dc.subjectParallel
dc.titleConstrained Neighbor Lists for SPH-based Fluid Simulationsen_US
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