Signal Processing with Teams of Embedded Workhorse Processors | Zendy

Rick F. Hobson | Zendy; A. Dyck | Zendy; K. L. Cheung | Zendy; B. Ressl | Zendy

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Signal Processing with Teams of Embedded Workhorse Processors

Author(s) -

Rick F. Hobson,

A. Dyck,

K. L. Cheung,

B. Ressl

Publication year - 2006

Publication title -

eurasip journal on embedded systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.145

H-Index - 26

eISSN - 1687-3963

pISSN - 1687-3955

DOI - 10.1155/es/2006/69484

Subject(s) - computer science , signal processing , computer architecture , signal (programming language) , embedded system , computer hardware , digital signal processing , programming language

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 Ã¢Â€ÂœworkhorseÃ¢Â€Â 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

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