Multi-tasking of fuzzy inference processor through real-time context switching

• Main Authors: Cao, Qi, Song, Liqin, Shi, Xiaomeng, Li, Ju Hui
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2010
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/91736; http://hdl.handle.net/10220/6290
• Institution: Nanyang Technological University

We present a multi-task fuzzy inference processor (MtFIP) in this paper. 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 in our earlier work. High performance similar to that of the RcFIP is attainable by the MtFIP. Each task is executed 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 detail in this paper.