Paper Info
Title
Multi-Level Memory Structures For Simulating And Rendering Smoothed Particle Hydrodynamics
Abstract
In this paper, we present a novel hash map-based sparse data structure for Smoothed Particle Hydrodynamics, which allows for efficient neighbourhood queries in spatially adaptive simulations as well as direct ray tracing of fluid surfaces. Neighbourhood queries for adaptive simulations are improved by using multiple independent data structures utilizing the same underlying self-similar particle ordering, to significantly reduce non-neighbourhood particle accesses. Direct ray tracing is performed using an auxiliary data structure, with constant memory consumption, which allows for efficient traversal of the hash map-based data structure as well as efficient intersection tests. Overall, our proposed method significantly improves the performance of spatially adaptive fluid simulations and allows for direct ray tracing of the fluid surface with little memory overhead.
Year
DOI
Venue
2020
10.1111/cgf.14090
COMPUTER GRAPHICS FORUM
Keywords
DocType
Volume
fluid modelling, animation, surface reconstruction, modelling, ray tracing, rendering
Journal
39
Issue
ISSN
Citations 
6
0167-7055
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Rene Winchenbach181.45
Andreas Kolb278371.76