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The implicit integration method generates a large, unbanded sparse linear system at each time step which is solved using a modified conjugate gradient method that simultaneously enforces particles' constraints.
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The simulator models cloth as a triangular mesh, with internal cloth forces derived using a simple continuum formulation that supports modeling operations such as local anisotropic stretch or compression a unified treatment of damping forces is included as well. The simulation system couples a new technique for enforcing constraints on individual cloth particles with an implicit integration method. This paper describes a cloth simulation system that can stably take large time steps.
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The bottle-neck in most cloth simulation systems is that time steps must be small to avoid numerical instability. On a high‐end NVIDIA Tesla K20c, we observe up to two orders of magnitude performance improvement as compared to a single‐threaded CPU‐based algorithm, and about one order of magnitude improvement over a 16‐core CPU‐based parallel implementation. We highlight the parallel performance of our algorithm on three different generations of GPUs. In practice, our algorithm can perform high‐fidelity simulation on a cloth mesh with 2M triangles using 3GB of GPU memory. We describe the streaming pipeline and address many issues in terms of obtaining high throughput on many‐core GPUs. Our algorithm perform intra‐object and inter‐object collisions, handles contacts and friction, and is able to accurately simulate folds and wrinkles. We map all the components of cloth simulation pipeline, including time integration, collision detection, collision response, and velocity updating to GPU‐based kernels and data structures.
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We present a GPU‐based streaming algorithm to perform high‐resolution and accurate cloth simulation.
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