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A Novel Approach for Architectural Models Characterization. An Example through the Systolic Ring

  • P. Benoit
  • G. Sassatelli
  • L. Torres
  • M. Robert
  • G. Cambon
  • D. Demigny
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2778)

Abstract

In this article we present a model of coarse grained reconfigurable architecture, dedicated to accelerate data-flow oriented applications. The proliferation of new academic and industrial architectures implies a large variety of solutions for platform-based designers. Thus, efficient metrics to compare and qualify these architectures are more and more necessary. Several metrics, Troughput Density [3][12], Remanence [4] and Operative Density are then used to perform comparisons on different architectures. Architectures are often customisable and purpose several parameters. Therefore, it is crucial to characterize the architectural model according to these parameters. This paper proposes as a case study the Systolic Ring, and gives a set of metrics as functions of the architecture parameters. The methodology illustrated is generic and proved very efficient to highlight architectural properties such as the scalability.

Keywords

Discrete Cosine Transform Operative Density Architectural Model Very Large Scale Integration Silicon Area 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Mangione-Smith, W.H., et al.: Seeking Solutions in Configurable Computing. IEEE Computer, 38–43 (December 1997)Google Scholar
  2. 2.
    Grünbacher, H., Hartenstein, R.W.: The Roadmap to Reconfigurable Computing. FPL 2000. LNCS, vol. 1896. Springer, Heidelberg (2000)Google Scholar
  3. 3.
    DeHon, A.: Comparing Computing Machines. In: Configurable Computing: Technology and Applications. In: Proc. SPIE, November 2-3, vol. 3526 (1998)Google Scholar
  4. 4.
    Sassatelli, G., et al.: Highly Scalable Dynamically Reconfigurable Systolic Ring-Architecture for DSP applications. In: IEEE Design Automation and Test in Europe (DATE 2002), Paris, France, March 2002, pp. 553–557 (2002)Google Scholar
  5. 5.
    Sassatelli, G.: Architectures reconfigurables dynamiquement pour les systèmes sur puce., Ph.D. thesis, Université Montpellier II, France (April 2002)Google Scholar
  6. 6.
    Demigny, D., et al.: La rémanence des architectures reconfigurables, un critère significatif des architectures. In: Proc. of JFAAA, Monastir, Tunisie, December 2002, pp. 49–52 (2002)Google Scholar
  7. 7.
    Xilinx, the Programmable Logic Data Book (2000)Google Scholar
  8. 8.
    Demigny, D., et al.: Architecture à reconfiguration dynamique pour le traitement temps réel des images. Techniques et Science de l’Information Numéro Spécial Architectures Reconfigurables 18(10), 1087–1112 (1999)Google Scholar
  9. 9.
    David, R., et al.: DART: A Dynamically Reconfigurable Architecture dealing with Next Generation Telecommunications Constraints. In: 9th IEEE Reconfigurable Architecture Workshop RAW (April 2002)Google Scholar
  10. 10.
    Singh, H., et al.: MorphoSys: An Integrated Re-configurable Architecture. In: Proc. of the NATO RTO Symposium on System Concepts and Integration, Monterey, USA, avril (1998)Google Scholar
  11. 11.
    TMS320C62X Image/Video Processing library Programmer’s Reference (March 2000), http://www.ti.com
  12. 12.
    Wirthlin, M.J., Hutchings, B.L.: Improving Functional Density Using Run-Time Circuit Reconfiguration. IEEE Transactions On Very Large Scale Integration (VLSI) Systems 6, 247–256 (1998)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • P. Benoit
    • 1
  • G. Sassatelli
    • 1
  • L. Torres
    • 1
  • M. Robert
    • 1
  • G. Cambon
    • 1
  • D. Demigny
    • 2
  1. 1.LIRMMUMR UM2-CNRS C5506Montpellier Cedex 5
  2. 2.ETISUMR-CNRS 8051Cergy Pontoise CedexFrance

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