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

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 th...

Full description

Saved in:
Bibliographic Details
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:
Online Access:https://hdl.handle.net/10356/91736
http://hdl.handle.net/10220/6290
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Description
Summary: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.