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Fast Fluid Simulations with Sparse Volumes on the GPU.

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Title: Fast Fluid Simulations with Sparse Volumes on the GPU.
Authors: Wu, Kui1, Truong, Nghia1, Yuksel, Cem1, Hoetzlein, Rama2
Source: Computer Graphics Forum. May2018, Vol. 37 Issue 2, p157-167. 11p. 6 Color Photographs, 4 Diagrams, 6 Charts.
Subjects: Computer simulation of fluid dynamics, Graphics processing units, Sparse matrix software, Computational hydrodynamics software, Grid computing
Abstract: Abstract: We introduce efficient, large scale fluid simulation on GPU hardware using the fluid‐implicit particle (FLIP) method over a sparse hierarchy of grids represented in NVIDIA® GVDB Voxels. Our approach handles tens of millions of particles within a virtually unbounded simulation domain. We describe novel techniques for parallel sparse grid hierarchy construction and fast incremental updates on the GPU for moving particles. In addition, our FLIP technique introduces sparse, work efficient parallel data gathering from particle to voxel, and a matrix‐free GPU‐based conjugate gradient solver optimized for sparse grids. Our results show that our method can achieve up to an order of magnitude faster simulations on the GPU as compared to FLIP simulations running on the CPU. [ABSTRACT FROM AUTHOR]
Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="JN" term="%22Computer+Graphics+Forum%22">Computer Graphics Forum</searchLink>. May2018, Vol. 37 Issue 2, p157-167. 11p. 6 Color Photographs, 4 Diagrams, 6 Charts.
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  Data: <searchLink fieldCode="DE" term="%22Computer+simulation+of+fluid+dynamics%22">Computer simulation of fluid dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Graphics+processing+units%22">Graphics processing units</searchLink><br /><searchLink fieldCode="DE" term="%22Sparse+matrix+software%22">Sparse matrix software</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+hydrodynamics+software%22">Computational hydrodynamics software</searchLink><br /><searchLink fieldCode="DE" term="%22Grid+computing%22">Grid computing</searchLink>
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  Data: Abstract: We introduce efficient, large scale fluid simulation on GPU hardware using the fluid‐implicit particle (FLIP) method over a sparse hierarchy of grids represented in NVIDIA® GVDB Voxels. Our approach handles tens of millions of particles within a virtually unbounded simulation domain. We describe novel techniques for parallel sparse grid hierarchy construction and fast incremental updates on the GPU for moving particles. In addition, our FLIP technique introduces sparse, work efficient parallel data gathering from particle to voxel, and a matrix‐free GPU‐based conjugate gradient solver optimized for sparse grids. Our results show that our method can achieve up to an order of magnitude faster simulations on the GPU as compared to FLIP simulations running on the CPU. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/cgf.13350
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        Text: English
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      – SubjectFull: Graphics processing units
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      – SubjectFull: Sparse matrix software
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      – SubjectFull: Grid computing
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              Text: May2018
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