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Expediting Precomputation for Reduced Deformable Simulation

delete2015-11-02
delete23
PRE
AI
Y
Yin Yang *
D
Dingzeyu Li
W
Weiwei Xu
田
田元 (Yuan Tian)
C
Changxi Zheng
DOI:10.1145/2816795.2818089delete
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摘要

摘要

En 中文
Model reduction has popularized itself for simulating elastic deformation for graphics applications. While these techniques enjoy orders-of-magnitude speedups at runtime simulation, the efficiency of precomputing reduced subspaces remains largely overlooked. We present a complete system of precomputation pipeline as a faster alternative to the classic linear and nonlinear modal analysis. We identify three bottlenecks in the traditional model reduction precomputation, namely modal matrix construction, cubature training, and training dataset generation, and accelerate each of them. Even with complex deformable models, our method has achieved orders-of-magnitude speedups over the traditional precomputation steps, while retaining comparable runtime simulation quality.
Keyword:
Finite element method
Deformable simulation
Precomputation
Model reduction
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期刊

ACM Transactions on Graphics 封面图
ACM Transactions on Graphics
IF:
9.5
论文数:
4.7K
被引数:
3.6W

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C
Columbia University
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H
hangzhou normal university
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university of texas system
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18.5W
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university of new mexico
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1.6W
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被引数: 25
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