Efficient mapping of an image processing application for a network-on-chip based implementation

  • Authors:
  • Marcus Vinicius Carvalho Da Silva;Nadia Nedjah;Luiza de Macedo Mourelle

  • Affiliations:
  • Dept. of Electronics Engineering and Telecommunications, State University of Rio de Janeiro, Rua Sao Francisco Xavier, 524, Sala 5145-F, Maracana 20550-900, Rio de Janeiro, Brazil.;Dept. of Electronics Engineering and Telecommunications, State University of Rio de Janeiro, Rua Sao Francisco Xavier, 524, Sala 5145-F, Maracana 20550-900, Rio de Janeiro, Brazil.;Dept. of Systems Engineering and Computation, State University of Rio de Janeiro, Rua Sao Francisco Xavier, 524, Sala 5145-F, Maracana 20550-900, Rio de Janeiro, Brazil

  • Venue:
  • International Journal of High Performance Systems Architecture
  • Year:
  • 2009

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Abstract

Network-on-chip (NoC) is considered the next generation of communication infrastructure, which will be omnipresent in different environments. In the platform-based methodology, an application is implemented by a set of collaborating intellectual properties (IPs) blocks. Increasing scale integration increases the number of possible IPs to be addressed on a NoC platform. In this paper, we propose a multi-objective evolutionary-based mapping of an image processing application on a NoC based platform. The IP mapping is driven by the area occupied, execution time and power consumption.