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- W2896978013 abstract "The simulation of soft bodies has been an ongoing research problem for over 30years. The desiderata for real-time applications are believable results, while maintaininginteractivity. The most popular approach to achieve this has been to useiterative methods, that find an approximate solution to the underlying equationsystem rapidly. In recent years, efforts have been made to improve the performanceof these methods by exploiting the computational capabilities of modern hardwarearchitectures, such as the graphics processing unit.This thesis introduces a parallel iterative solver that utilizes a Red-Black Gauss-Seidel technique. The solver is implemented within the Projective Dynamics framework,using a quadrangular network of particles and constraints, to simulate softbodies in real-time. The results show that in this particular case, the Red-BlackGauss-Seidel method outperforms other traditional iterative solvers in terms of convergencespeed.The results were achieved by creating a physics engine prototype, using a Verletnumerical integration scheme, parallel collision handling and three different typesof iterative solvers; sequential Gauss-Seidel, parallel Jacobi and parallel Red-BlackGauss-Seidel. These solvers were then compared to each other. The physics engineas a whole was also compared to other contributions in the field. The quadrangularstructure of the soft bodies resulted in real-time performance, at the cost of amoderate loss in precision." @default.
- W2896978013 created "2018-10-26" @default.
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- W2896978013 date "2017-01-01" @default.
- W2896978013 modified "2023-10-17" @default.
- W2896978013 title "The Red-Black Physics Engine: A Parallel Framework for Interactive Soft Body Dynamics" @default.
- W2896978013 hasPublicationYear "2017" @default.
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