7486

Parallel Surface Reconstruction for Particle-Based Fluids

Gizem Akinci, Markus Ihmsen, Nadir Akinci, Matthias Teschner
University of Freiburg, Germany
Computer Graphics Forum, 2012
BibTeX

Download Download (PDF)   View View   Source Source   

2037

views

This paper presents a novel method that improves the efficiency of high-quality surface reconstructions for particle-based fluids using Marching Cubes. By constructing the scalar field only in a narrow band around the surface, the computational complexity and the memory consumption scale with the fluid surface instead of the volume. Furthermore, a parallel implementation of the method is proposed. The presented method works with various scalar field construction approaches. Experiments show that our method reconstructs high-quality surface meshes efficiently even on single-core CPUs. It scales nearly linearly on multi-core CPUs and runs up to fifty times faster on GPUs compared to the original scalar field construction approaches.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2025 hgpu.org

All rights belong to the respective authors

Contact us:

contact@hpgu.org