DocumentCode
2273418
Title
An optimized RISC instruction set for fuzzy applications
Author
Avogadro, E. ; Commodaro, S. ; Costa, A. ; De Gloria, A. ; Faraboschi, P. ; Giudici, F. ; Pagni, A.
Author_Institution
Dept. of Biophys. & Electr. Eng., Genova Univ., Italy
fYear
1994
fDate
26-29 Jun 1994
Firstpage
133
Abstract
Presents a general purpose RISC instruction set with specific support for fuzzy logic. The authors show the design methodology, the processor architecture and its performance with respect to other fuzzy processors. Tests show a remarkable advantage over other realizations. These results have been achieved by means of a particularly suited instruction set and special optimizations in the compilation task
Keywords
computer architecture; fuzzy logic; reduced instruction set computing; tools; compilation task; design methodology; fuzzy applications; fuzzy logic; fuzzy processors; optimized RISC instruction set; processor architecture; Automatic control; Control systems; Costs; Fuzzy control; Fuzzy logic; Fuzzy sets; Hardware; Nonlinear control systems; Reduced instruction set computing; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1896-X
Type
conf
DOI
10.1109/FUZZY.1994.343704
Filename
343704
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