What is it about?
We propose a method for rewriting the IPC barrier function using a simplicial-geometric measure of contact. The result is an efficient approximation of the Hessian, thanks to our formulation of its analytic eigensystems. These eigensystems further enable an entirely GPU-based IPC system, resulting in significant acceleration over the state-of-the-art.
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Why is it important?
Although the IPC method is robust and accurate, the performance of the existing CPU implementation is slow. This work greatly accelerates the IPC method while maintaining its high accuracy
Perspectives
This work is helpful for researchers who are interested in numerical analysis and high-performance implementation of IPC. Additionally, this work is very helpful for the industry.
Kemeng Huang
University of Hong Kong
Read the Original
This page is a summary of: GIPC: Fast and stable Gauss-Newton optimization of IPC barrier energy, ACM Transactions on Graphics, January 2024, ACM (Association for Computing Machinery),
DOI: 10.1145/3643028.
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