Efficient Particle-Based Fluid Surface Reconstruction Using Mesh Shaders and Bidirectional Two-Level Grids

Author:

Nishidate Yuki1ORCID,Fujishiro Issei1ORCID

Affiliation:

1. Keio University, Yokohama, Japan

Abstract

In this paper, we introduce a novel method for particle-based fluid surface reconstruction that incorporates mesh shaders for the first time. This approach eliminates the need to store triangle meshes in a GPU's global memory, resulting in a significant reduction in the amount of memory needed. Furthermore, our method employs a bidirectional two-level uniform grid, which not only accelerates the computationally expensive stage of surface cell detection but also effectively addresses the issue of vertex overflow among the mesh shaders. Experimental results prove that our method outperforms the state-of-the-art method, achieving both acceleration and memory reductions simultaneously, without sacrificing quality. The method is highly practical, with no major limitations other than requiring a GPU that supports the mesh shaders.

Funder

Japan Society for the Promotion of Science

Publisher

Association for Computing Machinery (ACM)

Reference27 articles.

1. A Fast Level Set Method for Propagating Interfaces

2. Gizem Akinci, Nadir Akinci, Edgar Oswald, and Matthias Teschner. 2013. Adaptive Surface Reconstruction for SPH Using 3-Level Uniform Grids. In Proc. of the 21st International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG 2013). 195--204.

3. Parallel Surface Reconstruction for Particle-Based Fluids

4. Flip: A low-dissipation, particle-in-cell method for fluid flow

5. Evgeni Chernyaev. 1995. Marching Cubes 33: Construction of Topologically Correct Isosurfaces. Tech. rep. CERN (1995). https://api.semanticscholar.org/CorpusID:18816939

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3