Hardware-Software Partitioning: A Reconfigurable and Evolutionary Computing Approach

Hardware-Software Partitioning: A Reconfigurable and Evolutionary Computing Approach

The need for inexpensive, compact and adaptive systems has seen accelerated interest in the codesign of embedded systems. The ability to estimate the acceleration obtainable is highly desirable, as time to market deadlines are being ever shortened. The performance of such systems is fundamentally de...

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Bibliographische Detailangaben
Hauptverfasser: Harkin, Jim, McGinnity, Thomas M., Maguire, Liam P.
Format: Buchkapitel
Sprache:eng
Schlagworte:
Applied sciences
Computer science
control theory
systems
Dynamic Reconfiguration
Electronics
Exact sciences and technology
Fitness Evaluation
Integrated circuits
Integrated circuits by function (including memories and processors)
Partial Reconfiguration
Reconfigurable Hardware
Reconfiguration Time
Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices
Software
Software engineering
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Beschreibung
Zusammenfassung:The need for inexpensive, compact and adaptive systems has seen accelerated interest in the codesign of embedded systems. The ability to estimate the acceleration obtainable is highly desirable, as time to market deadlines are being ever shortened. The performance of such systems is fundamentally dependent on the hardware-software (HW-SW) partition. In this paper a genetic algorithm-based hardware-software partitioning method is presented. Demonstrative applications are used to show the effectiveness of the genetic algorithm at exploiting the reconfigurable nature of such systems.
ISSN:0302-9743
1611-3349
DOI:10.1007/3-540-44687-7_62