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Cluster-Driven Hardware/Software Partitioning and Scheduling Approach for a Reconfigurable Computer System

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Field Programmable Logic and Application (FPL 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2778))

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Abstract

To achieve a good performance when implementing applications in codesign systems, partitioning and scheduling are important steps. In this paper, a two-phase clustering algorithm is introduced as a preprocessing step to an existing hardware/software partitioning and scheduling system. This preprocessing step increases the granularity in the partition design, resulting in a higher degree of parallelism and a better mapping to the reconfigurable resource. This cluster-driven approach shows improvements in both the makespan of the implementation, and the CPU runtime.

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References

  1. Srinivasan, V., Govindarajan, S., Vemuri, R.: Fine-grained and coarse-grained behavioral partitioning with effective utilization of memory and design space exploration for multi-FPGA architectures. IEEE Transactions on Very Large Scale Integration (VLSI) Systems 9, 140–158 (2001)

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© 2003 Springer-Verlag Berlin Heidelberg

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Wiangtong, T., Cheung, P.Y.K., Luk, W. (2003). Cluster-Driven Hardware/Software Partitioning and Scheduling Approach for a Reconfigurable Computer System. In: Y. K. Cheung, P., Constantinides, G.A. (eds) Field Programmable Logic and Application. FPL 2003. Lecture Notes in Computer Science, vol 2778. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45234-8_122

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  • DOI: https://doi.org/10.1007/978-3-540-45234-8_122

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40822-2

  • Online ISBN: 978-3-540-45234-8

  • eBook Packages: Springer Book Archive

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