Applications of adaptive computing systems for signal processing challenges

Authors:
Brian Schott;Peter Bellows;Matthew French;Robert Parker
Affiliations:
USC Information Sciences Institute, Arlington, Virginia;USC Information Sciences Institute, Arlington, Virginia;USC Information Sciences Institute, Arlington, Virginia;USC Information Sciences Institute, Arlington, Virginia
Venue:
ASP-DAC '03 Proceedings of the 2003 Asia and South Pacific Design Automation Conference
Year:
2003

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Abstract

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.