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Evolutionary IP Mapping for Efficient NoC-Based System Design Using Multi-objective Optimization

  • Nadia Nedjah
  • Marcus Vinícius Carvalho da Silva
  • Luiza de Macedo Mourelle
Part of the Studies in Computational Intelligence book series (SCI, volume 357)

Summary

Network-on-chip (NoC) are considered the next generation of communication infrastructure, which will be omnipresent in most of industry, office and personal electronic systems. In the platform-based methodology, an application is implemented by a set of collaborating intellectual properties (IPs) blocks. In this paper, we use multi-objective evolutionary optimization to address the problem of mapping topologically pre-selected sets IPs, which constitute the set of optimal solutions that were found for the IP assignment problem, on the tiles of a mesh-based NoC. The IP mapping optimization is driven by the area occupied, execution time and power consumption.

Keywords

Execution Time Intellectual Property Multiobjective Optimization Task Graph Parallel Task 
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 2011

Authors and Affiliations

  • Nadia Nedjah
    • 1
  • Marcus Vinícius Carvalho da Silva
    • 1
  • Luiza de Macedo Mourelle
    • 2
  1. 1.Department of Electronics Engineering and TelecommunicationsState University of Rio de JaneiroBrazil
  2. 2.Department of Systems Engineering and Computation, Engineering FacultyState University of Rio de JaneiroBrazil

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