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Hardware-Software Partitioning: A Reconfigurable and Evolutionary Computing Approach

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Field-Programmable Logic and Applications (FPL 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2147))

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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.

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References

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Author information

Authors and Affiliations

  1. Intelligent Systems Engineering Laboratory, Faculty of Engineering, Magee College, University of Ulster, Northland Rd, Derry, N. Ireland, BT48 7JL, UK

    Jim Harkin, Thomas M. McGinnity & Liam P. Maguire

Authors
  1. Jim Harkin
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  2. Thomas M. McGinnity
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  3. Liam P. Maguire
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Editor information

Editors and Affiliations

  1. Division of Informatics, University of Edinburgh, James Clerk Maxwell Building Mayfield Road, EH9 3JZ, Edinburgh, UK

    Gordon Brebner

  2. School of Electrical and Electronic Engineering, Queen’s University of Belfast, Ashby Building Stranmillis Road, BT9 5AH, Belfast, UK

    Roger Woods

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© 2001 Springer-Verlag Berlin Heidelberg

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Harkin, J., McGinnity, T.M., Maguire, L.P. (2001). Hardware-Software Partitioning: A Reconfigurable and Evolutionary Computing Approach. In: Brebner, G., Woods, R. (eds) Field-Programmable Logic and Applications. FPL 2001. Lecture Notes in Computer Science, vol 2147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44687-7_62

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  • DOI: https://doi.org/10.1007/3-540-44687-7_62

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42499-4

  • Online ISBN: 978-3-540-44687-3

  • eBook Packages: Springer Book Archive

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