Affiliations: School of Electrical and Electronic Engineering, Nanyang Technology University, Singapore, Singapore
Note: [] Corresponding author. Meng Hiot Lim, School of Electrical and Electronic Engineering, Block S1, Nanyang Technology University, 639798, Singapore. Tel.: +65 67905408; E-mail: [email protected]
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.
