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
School of Engineering Science, Simon Fraser University, Burnaby V5A 1S6, BC, Canada
Received 4 December 2005; Revised 17 May 2006; Accepted 17 June 2006
Academic Editor: Zoran Salcic
Copyright © 2006 R. F. Hobson et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.