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
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;
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
DOI :
10.1109/FUZZY.1994.343704
