Simulation of wrinkled surfaces
SIGGRAPH '78 Proceedings of the 5th annual conference on Computer graphics and interactive techniques
Physically-based visual simulation on graphics hardware
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware
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View-dependent displacement mapping
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Sparse matrix solvers on the GPU: conjugate gradients and multigrid
ACM SIGGRAPH 2003 Papers
Hardware accelerated per-pixel displacement mapping
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GPU Accelerated Surgical Simulators for Complex Morphology
VR '05 Proceedings of the 2005 IEEE Conference 2005 on Virtual Reality
Virtual open heart surgery: training complex surgical procedures in congenital heart disease
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Technical aspects of the GPU accelerated surgical simulator
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Exploring Parallel Algorithms for Volumetric Mass-Spring-Damper Models in CUDA
ISBMS '08 Proceedings of the 4th international symposium on Biomedical Simulation
Deforming a High-Resolution Mesh in Real-Time by Mapping onto a Low-Resolution Physical Model
ISBMS '08 Proceedings of the 4th international symposium on Biomedical Simulation
An introduction to GPU accelerated surgical simulation
ISBMS'06 Proceedings of the Third international conference on Biomedical Simulation
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MICRO-45 Proceedings of the 2012 45th Annual IEEE/ACM International Symposium on Microarchitecture
ACM Transactions on Embedded Computing Systems (TECS) - Special issue on application-specific processors
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Modern graphics processing units (GPUs) can be effectively used to solve physical systems. To use the GPU optimally, the discretization of the physical system is often restricted to a regular grid. When grid values represent spatial positions, a direct visualization can result in a jagged appearance. In this paper we propose to decouple computation and visualization of such systems. We define mappings that enable the deformation of a high-resolution surface based on a physical simulation on a lower resolution uniform grid. More specifically we investigate new approaches for the visualization of a GPU based spring-mass simulation.