The Journal of the Society for Art and Science
Cover sheet for paper submissions

¦ Paper Types (choose one)
  ·Original Full Paper

¦ Paper Field(choose one)
  2) Science/Technology

¦ Categories(choose one or more)

  a-2) Computer Graphics (Rendering)
  a-3) Computer Graphics (Animation)

¦ Special Issue Correspondence (choose one)
  ·Submission for a Special Issue (Name: Collection of Papers Presented at NICOGRAPH International 2014)

¦ Title

¦ Author(s)

Jens Ogniewski

¦ Author Affiliation(s)

Information Coding Group
Department of Electrical Engineering
Linköping University

¦ Author E-mail Address(es)

jenso@isy.liu.se

¦ Name, Address, Affiliation, Telephone number, Fax number, and E-mail Address of the Contact Person

Jens Ogniewski
Information Coding Group
Department of Electrical Engineering
Linköping University
581 83 Linköping
Sweden

Email: jenso@isy.liu.se
Tel.: +46 13 28 1317
Fax: +46 13 13 9282

¦ Abstract (approx. 100 words)
Particle effects are vital components of computer graphics in modern computer games. While game developers 
have a choice of several different methods for particle effects on PCs and home consoles, there exist only 
few solutions for games in the fast growing smartphones/tablets market. This is not only because of the 
more than a magnitude lesser computational performance of the systems-on-a-chip used there, but especially 
due to their even much slower memory access, which renders nearly all approaches used on standard PCs 
unsuitable for smartphones/tablets. 
To overcome the bottleneck of the memory access, I suggest using a procedural approach, which will be 
described fully in this paper, with the example of real-time water. It is based on particle movement in 2D, 
but by applying physical forces directly to the particles rather than using a pressure-field like in e.g. 
the popular Navier-Stokes based methods. This has the advantage of avoiding the need for two different data 
structures, one for the pressure-field and one for the particles themselves, and thus reduces memory usage 
significantly. 
In this paper I will also present a simple way to introduce interactions with the particle effect as well as 
a comparison with a low-complex Navier-Stokes based approach. To the best of my knowledge, this is the first 
scientific work investigating particle effects for systems-on-a-chip, like e.g. smartphones/tablets.


¦ Keywords (around five)

Real-time, Particle Effects, Embedded Systems