Signal processing with teams of embedded workhorse processors

Authors:
R. F. Hobson;A. R. Dyck;K. L. Cheung;B. Ressl
Affiliations:
School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada;School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada;School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada;School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada
Venue:
EURASIP Journal on Embedded Systems
Year:
2006

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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.