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dc.contributor.authorLentine, Michael
dc.contributor.authorZheng, Wen
dc.contributor.authorFedkiw, Ronald
dc.date.accessioned2016-02-25T12:31:27Z
dc.date.available2016-02-25T12:31:27Z
dc.date.issued2010-07-26
dc.identifier.citationLentine M, Zheng W, Fedkiw R (2010) A novel algorithm for incompressible flow using only a coarse grid projection. ACM Transactions on Graphics 29: 1. Available: http://dx.doi.org/10.1145/1778765.1778851.
dc.identifier.issn0730-0301
dc.identifier.doi10.1145/1778765.1778851
dc.identifier.doi10.1145/1833349.1778851
dc.identifier.urihttp://hdl.handle.net/10754/597356
dc.description.abstractLarge scale fluid simulation can be difficult using existing techniques due to the high computational cost of using large grids. We present a novel technique for simulating detailed fluids quickly. Our technique coarsens the Eulerian fluid grid during the pressure solve, allowing for a fast implicit update but still maintaining the resolution obtained with a large grid. This allows our simulations to run at a fraction of the cost of existing techniques while still providing the fine scale structure and details obtained with a full projection. Our algorithm scales well to very large grids and large numbers of processors, allowing for high fidelity simulations that would otherwise be intractable. © 2010 ACM.
dc.description.sponsorshipResearch supported in part by ONR N0014-06-1-0393, ONR N00014-06-1-0505, ONR N00014-05-1-0479 for a computing cluster, NIH U54-GM072970, NSF ACI-0323866, and King Abdullah University of Science and Technology (KAUST) 42959. M. L. was supported in part by an Intel Ph.D. Fellowship. We would like to thank Christos Kozyrakis for additional computing resources and Jacob Leverich for helping us use those resources.
dc.publisherAssociation for Computing Machinery (ACM)
dc.subjectIncompressible flow
dc.subjectSimulation
dc.subjectSmoke
dc.subjectWater
dc.titleA novel algorithm for incompressible flow using only a coarse grid projection
dc.typeArticle
dc.identifier.journalACM Transactions on Graphics
dc.contributor.institutionStanford University, Palo Alto, United States
kaust.grant.number42959


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