CAMA: Contact-Aware Matrix Assembly with Unified Collision Handling for GPU-based Cloth Simulation

dc.contributor.authorTang, Minen_US
dc.contributor.authorWang, Huaminen_US
dc.contributor.authorTang, Leen_US
dc.contributor.authorTong, Ruofengen_US
dc.contributor.authorManocha, Dineshen_US
dc.contributor.editorJoaquim Jorge and Ming Linen_US
dc.description.abstractWe present a novel GPU-based approach to robustly and efficiently simulate high-resolution and complexly layered cloth. The key component of our formulation is a parallelized matrix assembly algorithm that can quickly build a large and sparse matrix in a compressed format and accurately solve linear systems on GPUs. We also present a fast and integrated solution for parallel collision handling, including collision detection and response computations, which utilizes spatio-temporal coherence. We combine these algorithms as part of a new cloth simulation pipeline that incorporates contact forces into implicit time integration for collision avoidance. The entire pipeline is implemented on GPUs, and we evaluate its performance on complex benchmarks consisting of 100 - 300K triangles. In practice, our system takes a few seconds to simulate one frame of a complex cloth scene, which represents significant speedups over prior CPU and GPU-based cloth simulation systems.en_US
dc.description.sectionheadersCloth & Animationen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.titleCAMA: Contact-Aware Matrix Assembly with Unified Collision Handling for GPU-based Cloth Simulationen_US