Applications of adaptive computing systems for signal processing challenges

Applications of adaptive computing systems for signal processing challenges

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 ba...

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Hauptverfasser: Schott, Brian, Bellows, Peter, French, Matthew, Parker, Robert
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French, Matthew
Parker, Robert
description 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.
doi_str_mv 10.1145/1119772.1119868
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title Applications of adaptive computing systems for signal processing challenges
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