A multi-context processor for real-time concurrent tasks fuzzy reasoning

  • Authors:
  • Qi Cao;Meng Hiot Lim;Xiaomeng Shi;Ju Hui Li

  • Affiliations:
  • School of Electrical and Electronic Engineering, Nanyang Technology University, Singapore, Singapore;School of Electrical and Electronic Engineering, Nanyang Technology University, Singapore, Singapore;School of Electrical and Electronic Engineering, Nanyang Technology University, Singapore, Singapore;School of Electrical and Electronic Engineering, Nanyang Technology University, Singapore, Singapore

  • Venue:
  • Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
  • Year:
  • 2013

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Abstract

The computation bandwidth offered by current integrated circuits IC provides the capacity for an IC chip to handle multiple tasks or applications. In this paper, we present the concept and design of a multi-task fuzzy inference processor MtFIP. Earlier, a reconfigurable fuzzy inference chip RcFIP with 17 mega fuzzy logic inference per second FLIPS capable of supporting real-time context-switching has been proposed. High performance similar to that of the RcFIP is attainable by the MtFIP. Each task is handled by a RcFIP configured specific to the domain of the application. High flexibility is achieved by integrating several RcFIPs in the MtFIP. The compact architecture of the MtFIP allows for seamless online context-switching among multiple tasks. The hardware architecture of the MtFIP is described in details.