Title :
Evaluation of min/max instructions for fuzzy information processing
Author :
Watanabe, Hiroyuki ; Chen, David ; Konuri, Srinivas
Author_Institution :
Mercury Technol. Inc., New York, NY, USA
fDate :
8/1/1996 12:00:00 AM
Abstract :
We report the results of dynamic measurements which evaluate the effectiveness of an application specific microprocessor for fuzzy control and fuzzy information processing. We propose to specialize an architecture of microprocessor for fuzzy theoretic operations using quantitative techniques developed by designers of reduced instruction set computer (RISC). In particular, an introduction of specialized instructions is considered. Experimental results show that we can achieve as high as 2.5 speed up of a program for fuzzy control by introducing two instructions-min and max
Keywords :
application specific integrated circuits; fuzzy control; image processing; microprocessor chips; minimax techniques; reduced instruction set computing; RISC; application specific microprocessor; fuzzy control; fuzzy information processing; min/max instructions; reduced instruction set computer; Application software; Application specific integrated circuits; Delay; Fuzzy control; Fuzzy logic; Fuzzy sets; Information processing; Microprocessors; Optimizing compilers; Reduced instruction set computing;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
