Reconfigurable designs for radiosity

Author

Baker, Paul ; Todman, Tim ; Styles, Henry ; Luk, Wayne

Author_Institution

Dept. of Comput., Imperial Coll., London, UK

fYear

2005

fDate

18-20 April 2005

Firstpage

95

Lastpage

104

Abstract

We develop reconfigurable designs to support radiosity, a computer graphics algorithm for producing highly realistic images of artificial scenes, but which is computationally expensive. We implement radiosity using stochastic raytracing, which affords both instruction-level and data parallelism. Our designs are parameterisable by bitwidth, allowing trade-offs between image quality and computation speed. We measure the speed of our designs for a Xilinx XC2V6000 device in the Celoxica RC2000 platform: at 53 MHz it can run up to five times faster than a software implementation on an Athlon MP 2600+ processor at 2.1 GHz. We estimate that retargeting our design for a Virtex-4 XCVSX55 device can result in over 160 times software speed, while a Spartan-3 XC3S5000 device can run more than 40 times faster than the software implementation.

Keywords

brightness; field programmable gate arrays; logic design; ray tracing; realistic images; reconfigurable architectures; Celoxica RC2000 platform; Virtex-4 XCVSX55 device; Xilinx XC2V6000 device; artificial scene; computer graphics algorithm; image quality; radiosity method; realistic image; reconfigurable design; software implementation; stochastic raytracing; Acceleration; Algorithm design and analysis; Bismuth; Computer graphics; Educational institutions; Hardware; Layout; Lighting; Parallel processing; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Field-Programmable Custom Computing Machines, 2005. FCCM 2005. 13th Annual IEEE Symposium on

Print_ISBN

0-7695-2445-1

Type

conf

DOI

10.1109/FCCM.2005.57

Filename

1508530