Scalable Partitioning for Parallel Position Based Dynamics

Marco Fratarcangeli, Fabio Pellacini We introduce a practical partitioning technique designed for parallelizing Position Based Dynamics, and exploit- ing the ubiquitous multi-core processors present in current commodity GPUs. The input is a set of particles whose dynamics is influenced by spatial constraints. In the initialization phase, we build a graph in which each node corresponds […]