Comparing an FPGA to a Cell for an Image Processing Application. (18th April 2010)

• Record Type: Journal Article
• Authors: Rakvic Rakvic, Ryan N. Ryan N.; Ngo Ngo, Hau Hau; Broussard Broussard, Randy P. Randy P.; Ives Ives, Robert W. Robert W.
• Other Names: Du Du Yingzi Yingzi Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2010(2010)
• Publication Date: 2010-04-18
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2010/764838
• Languages: English
• ISSNs: 1687-6172

Abstract

Abstract : Modern advancements in configurable hardware, most notably Field-Programmable Gate Arrays (FPGAs), have provided an exciting opportunity to discover the parallel nature of modern image processing algorithms. On the other hand, PlayStation3 (PS3) game consoles contain a multicore heterogeneous processor known as the Cell, which is designed to perform complex image processing algorithms at a high performance. In this research project, our aim is to study the differences in performance of a modern image processing algorithm on these two hardware platforms. In particular, Iris Recognition Systems have recently become an attractive identification method because of their extremely high accuracy. Iris matching, a repeatedly executed portion of a modern iris recognition algorithm, is parallelized on an FPGA system and a Cell processor. We demonstrate a 2.5 times speedup of the parallelized algorithm on the FPGA system when compared to a Cell processor-based version.