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

Cao, Q. , Lim, M. H., Shi, X. and Li, J. H. (2013) A multi-context processor for real-time concurrent tasks fuzzy reasoning. Journal of Intelligent and Fuzzy Systems, 24(1), pp. 79-91. (doi: 10.3233/IFS-2012-0532)

Full text not currently available from Enlighten.


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.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Cao, Dr Qi
Authors: Cao, Q., Lim, M. H., Shi, X., and Li, J. H.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Journal of Intelligent and Fuzzy Systems
Publisher:IOS Press

University Staff: Request a correction | Enlighten Editors: Update this record