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Applications of adaptive computing systems for signal processing challenges

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4 Author(s)
B. Schott ; USC Inf. Sci. Inst., Arlington, VA, USA ; P. Bellows ; M. French ; R. Parker

Adaptive computing systems use FPGAs for custom hardware acceleration in high performance and real-time applications. Unlike single purpose dedicated hardware approaches, the reusable nature of the technology introduces system design tradeoffs that must balance processing density, memory, and I/O bandwidth, not to mention more subtle issues such as ease of programming, debugging, and physical integration into real-world systems. This paper describes results from the DARPA-funded SLAAC project, which developed three generations of adaptive computing systems for a diverse set of challenging signal processing applications.

Published in:

Design Automation Conference, 2003. Proceedings of the ASP-DAC 2003. Asia and South Pacific

Date of Conference:

21-24 Jan. 2003