Dynamic task binding for hardware/software reconfigurable networks

  • Authors:
  • Thilo Streichert;Christian Strengert;Christian Haubelt;Jürgen Teich

  • Affiliations:
  • University of Erlangen-Nuremberg, Germany;University of Erlangen-Nuremberg, Germany;University of Erlangen-Nuremberg, Germany;University of Erlangen-Nuremberg, Germany

  • Venue:
  • SBCCI '06 Proceedings of the 19th annual symposium on Integrated circuits and systems design
  • Year:
  • 2006

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Abstract

In this paper, a new methodology for tolerating link as well as node defects in self-adaptive reconfigurable networks will be presented. Currently, networked embedded systems need a certain level of redundancy for each node and link in order to tolerate defects and failures in a network. Due to monetary constraints as well as space and power limitations, the replication of each node and link is not an option in most embedded systems. Therefore, we will present a hardware/software partitioning algorithm for reconfigurable networks that optimizes the task binding onto resources at runtime such that node/link defects can be handled and data traffic on links between computational nodes will be minimized. This paper presents a new hardware/software partitioning algorithm, an experimental evaluation and for demonstrating the realizability, an implementation on a network of FPGA-based boards.