Mass-spring systems on the GPU

@article{GeorgiiWestermann2005, abstract = {We present and analyze different implementations of mass-spring systems for interactive simulation of deformable surfaces on graphics processing units (GPUs). For the amount of springs we target, numerical time integration of spring displacements needs to be accelerated and the transfer of displaced point positions for rendering must be avoided. To fulfill these requirements, we exploit features of recent graphics accelerators to simulate spring elongation and compression on the GPU, saving displaced point masses in graphics memory, and then sending these positions through the GPU again to render the deformed surface. Two different simulation algorithms implementing scattering and gathering operations on the GPU are compared with respect to performance and numerical accuracy. We discuss GPU specific issues to be considered in simulation techniques showing similar computation and memory access patterns to mass-spring systems.}, author = {Georgii, Joachim and Westermann, R\"{u}diger }, booktitle = {Programmable Graphics Hardware}, citeulike-article-id = {2923329}, doi = {http://dx.doi.org/10.1016/j.simpat.2005.08.004}, journal = {Simulation Modelling Practice and Theory}, month = {November}, number = {8}, pages = {693--702}, posted-at = {2008-06-24 11:51:15}, priority = {2}, title = {Mass-spring systems on the GPU}, url = {http://dx.doi.org/10.1016/j.simpat.2005.08.004}, volume = {13}, year = {2005} }

TY - JOUR ID - GeorgiiWestermann2005 L3 - citeulike-article-id:2923329 TI - Mass-spring systems on the GPU T2 - Programmable Graphics Hardware JF - Simulation Modelling Practice and Theory VL - 13 IS - 8 SP - 693 EP - 702 N2 - We present and analyze different implementations of mass-spring systems for interactive simulation of deformable surfaces on graphics processing units (GPUs). For the amount of springs we target, numerical time integration of spring displacements needs to be accelerated and the transfer of displaced point positions for rendering must be avoided. To fulfill these requirements, we exploit features of recent graphics accelerators to simulate spring elongation and compression on the GPU, saving displaced point masses in graphics memory, and then sending these positions through the GPU again to render the deformed surface. Two different simulation algorithms implementing scattering and gathering operations on the GPU are compared with respect to performance and numerical accuracy. We discuss GPU specific issues to be considered in simulation techniques showing similar computation and memory access patterns to mass-spring systems. AU - Georgii, Joachim AU - Westermann, Rüdiger PY - 2005/11// UR - http://dx.doi.org/10.1016/j.simpat.2005.08.004 ER -