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A Multi-objective and Hierarchical Exploration Tool for SoC Performance Estimation

  • Alexis Vander Biest
  • Alienor Richard
  • Dragomir Milojevic
  • Frederic Robert
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5114)

Abstract

In this paper we present a flexible performance estimation tool called Nessie developed to provide system-on-chip designers with automated multi-objective design space exploration and its related tool called Yeti building and executing reusable closed-formed models. After reviewing the existing closed-formed expressions based and application/platform mapping performance estimation tools, we propose an hybrid tool to cope with their limitations. We present a brief summary of the functionalities of Yeti and describe Nessie, our hierarchical application/platform performance estimation mapping tool which banalizes all the degrees of freedom for in-depth design space exploration and introduces multi-objective modeling. Through this paper, we explain how the combination of these tools provides the designer with innovative and powerful functionalities for performance prediction at the earlier stages of the design flow.

Keywords

Performance Estimation Abstraction Level Silicon Area Design Space Exploration Lower Abstraction Level 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Alexis Vander Biest
    • 1
  • Alienor Richard
    • 1
  • Dragomir Milojevic
    • 1
  • Frederic Robert
    • 1
  1. 1.BEAMS DepartmentUniversité Libre de BruxellesBrusselsBelgium

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