EURASIP Journal on Embedded Systems 
Volume 2006 (2006), Article ID 69484, 16 pages
doi:10.1155/ES/2006/69484

Signal Processing with Teams of Embedded Workhorse Processors

R. F. Hobson, A. R. Dyck, K. L. Cheung, and B. Ressl

 School of Engineering Science, Simon Fraser University, Burnaby V5A 1S6, BC, Canada
Received 4 December 2005; Revised 17 May 2006; Accepted 17 June 2006

Recommended by Zoran Salcic

Abstract

Advanced signal processing for voice and data in wired or wireless environments can require massive computational power. Due to the complexity and continuing evolution of such systems, it is desirable to maintain as much software controllability in the field as possible. Time to market can also be improved by reducing the amount of hardware design. This paper describes an architecture based on clusters of embedded “workhorse” processors which can be dynamically harnessed in real time to support a wide range of computational tasks. Low-power processors and memory are important ingredients in such a highly parallel environment.