Large-scale fluid simulation using velocity-vorticity domain decomposition

Abstract

Simulating fluids in large-scale scenes with appreciable quality using state-of-the-art methods can lead to high memory and compute requirements. Since memory requirements are proportional to the product of domain dimensions, simulation performance is limited by memory access, as solvers for elliptic problems are not compute-bound on modern systems. This is a significant concern for large-scale scenes. To reduce the memory footprint and memory/compute ratio, vortex singularity bases can be used. Though they form a compact bases for incompressible vector fields, robust and efficient modeling of nonrigid obstacles and free-surfaces can be challenging with these methods.

Document Details

Document Type
Pub Defense Publication
Publication Date
Nov 01, 2012
Source ID
10.1145/2366145.2366167

Entities

People

  • Abhinav Golas
  • Jason Sewall
  • Ming C. Lin
  • Pavel Krajcevski
  • Pradeep Dubey
  • Rahul Narain

Organizations

  • Army Research Office
  • Intel Corporation
  • National Science Foundation
  • University of California, Berkeley
  • University of North Carolina at Chapel Hill

Tags

Readers

  • Computational Fluid Dynamics (CFD)
  • Computer Vision.
  • Parallel and Distributed Computing.