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dc.contributor.authorGoswami, Prashanten_US
dc.contributor.authorNordin, Adrianen_US
dc.contributor.authorNylén, Simonen_US
dc.contributor.editorBujack, Roxanaen_US
dc.contributor.editorTierny, Julienen_US
dc.contributor.editorSadlo, Filipen_US
dc.description.abstractThis paper presents a novel Discrete Element Method (DEM) on the GPU for efficient snow simulation. To this end, our approach employs an iterative scheme on particles that easily allows the snow density to vary vastly for simulation while still maintaining a relatively large time step. We provide computationally inexpensive ways to capture cohesion and compression in the snow that enables us to generalize the behavior of various kinds of snow (like dry, wet, etc.) by varying physical parameters within the same simulator. We achieve a speed-up of nearly eight times with one million snow particles over the existing realtime method, even while dealing with scenes containing complex object boundaries. Furthermore, our simulator not only retains stability at these large time steps but also improves upon the physical behavior of the existing method. We have also conducted a user evaluation of our approach, where a majority of the participants voted in favor of its realism value for computer games.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.subjectCCS Concepts: Computing methodologies --> Physical simulation
dc.subjectComputing methodologies
dc.subjectPhysical simulation
dc.titleIterative Discrete Element Solver for Efficient Snow Simulationen_US
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualization
dc.description.sectionheadersRendering and Simulation
dc.identifier.pages11 pages

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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License