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Task Clustering Approach to Optimize the Scheduling on a Partially Dynamically Reconfigurable FPGAs for image processing algorithms

Published: 12 September 2016 Publication History

Abstract

Field-programmable gate array (FPGAs) are classified as high efficient computational execution platform. However their limited density makes them not suitable for highly demanding algorithms. The Partial Dynamic Reconfiguration (PDR) concept overcomes this problem by rising the FPGA reuse from one task to another. Nonetheless, the scheduling on partially dynamically reconfigurable architectures involves several degrees of freedom and hardware constraints to be managed, which makes the PDR more challenging. In this paper we propose a task clustering approach to optimize the scheduling on PDR FPGAs. By clustering tasks, the approach moves the optimizing overhead from hardware side into the software side, which is largely simple.

References

[1]
S. Banerjee, E. Bozorgzadeh, and N. Dutt. Exploiting application data-parallelism on dynamically reconfigurable architectures: Placement and architectural considerations. Very Large Scale Integration (VLSI) Systems, IEEE Transactions on, 17(2):234--247, 2009.
[2]
R. Cordone, F. Redaelli, M. A. Redaelli, M. D. Santambrogio, and D. Sciuto. Partitioning and scheduling of task graphs on partially dynamically reconfigurable FPGAs. Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on, 28(5):662--675, 2009.
[3]
O. Diessel, H. ElGindy, M. Middendorf, H. Schmeck, and B. Schmidt. Dynamic scheduling of tasks on partially reconfigurable FPGAs. In Computers and Digital Techniques, IEE Proceedings-, volume 147, pages 181--188. IET, 2000.

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  • (2024)A customized balanced-objective genetic algorithm for task scheduling in reconfigurable computing systemsKnowledge and Information Systems10.1007/s10115-024-02268-367:2(1541-1571)Online publication date: 4-Nov-2024
  1. Task Clustering Approach to Optimize the Scheduling on a Partially Dynamically Reconfigurable FPGAs for image processing algorithms

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    cover image ACM Other conferences
    ICDSC '16: Proceedings of the 10th International Conference on Distributed Smart Camera
    September 2016
    242 pages
    ISBN:9781450347860
    DOI:10.1145/2967413
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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 12 September 2016

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    Overall Acceptance Rate 92 of 117 submissions, 79%

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    • (2024)A customized balanced-objective genetic algorithm for task scheduling in reconfigurable computing systemsKnowledge and Information Systems10.1007/s10115-024-02268-367:2(1541-1571)Online publication date: 4-Nov-2024

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