Hardware-Software Partitioning: A Reconfigurable and Evolutionary Computing Approach

Authors:
Jim Harkin;T. Martin McGinnity;Liam P. Maguire
Affiliations:
-;-;-
Venue:
FPL '01 Proceedings of the 11th International Conference on Field-Programmable Logic and Applications
Year:
2001

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Abstract

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.