GPU smoke simulation on compressed DCT space

D. Ishida, R. Ando, S. Morishima

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper presents a novel GPU-based algorithm for smoke animation. Our primary contribution is the use of Discrete Cosine Transform (DCT) compressed space for efficient simulation. We show that our method runs an order of magnitude faster than a CPU implementation while retaining visual details with a smaller memory usage. The key component of our method is an on-the-fly compression and expansion of velocity, pressure and density fields. Whenever these physical quantities are requested during a simulation, we perform data expansion and compression only where necessary in a loop. As a consequence, our simulation allows us to simulate a large domain without actually allocating full memory space for it. We show that albeit our method comes with some extra cost for DCT manipulations, such cost can be minimized with the aid of a devised shared memory usage.

Original languageEnglish
Pages5-8
Number of pages4
DOIs
Publication statusPublished - 2019
Event40th Annual Conference on European Association for Computer Graphics, EUROGRAPHICS 2019 - Genoa, Italy
Duration: 2019 May 62019 May 10

Conference

Conference40th Annual Conference on European Association for Computer Graphics, EUROGRAPHICS 2019
CountryItaly
CityGenoa
Period19/5/619/5/10

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

Fingerprint Dive into the research topics of 'GPU smoke simulation on compressed DCT space'. Together they form a unique fingerprint.

Cite this