DocumentCode :
2725275
Title :
Design of very high speed CMOS fuzzy processors for applications in high energy physics experiments
Author :
Falchieri, Davide ; Gabrielli, Alessandro ; Gandolfi, Enzo ; Masetti, Massimo
Author_Institution :
Ist. Nazionale di Fisica Nucl., Bologna Univ., Italy
fYear :
1999
fDate :
1999
Firstpage :
284
Lastpage :
291
Abstract :
We faced the problem of VLSI fuzzy chip design because the processing rate of the fuzzy chips available on the market is too low for trigger applications in High Energy Physics Experiments. When we started, three years ago, we chose the 0.7 micron ES2 technology because it was the fastest one available at an accessible price. The paper describes chip architectures where each rule is processed in one clock period: 20 ns. Our goal was a processing rate of few hundred ns: it was possible to reach such a result only when the number of the inputs is less or equal to four: for two inputs the processing rate is 80 ns while for four inputs 320 ns because only the active rules are processed. For more inputs a genetic rule generator is used because it allows us to have a fuzzy system with a very low number of rules: for most applications the number of rules is about 10. The architecture of a 10 input fuzzy chip able to process a “genetic fuzzy system” is described. The above chips have been constructed and now we have redesigned the two input fuzzy chip using the 0.35 μm technology of Alcatel Mietec to reach a higher processing rate
Keywords :
CMOS digital integrated circuits; application specific integrated circuits; fuzzy logic; high energy physics instrumentation computing; integrated circuit design; microprocessor chips; nuclear electronics; parallel architectures; pipeline processing; very high speed integrated circuits; 0.35 micron; 0.7 micron; 20 to 320 ns; Alcatel Mietec; ES2 technology; VLSI fuzzy chip design; chip architectures; chip layout; genetic fuzzy system; genetic rule generator; high energy physics experiments; high processing rate; trigger applications; very high speed CMOS fuzzy processors; Algorithm design and analysis; CMOS process; CMOS technology; Clocks; Fuzzy sets; Fuzzy systems; Genetics; Neural networks; Pipelines; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microelectronics for Neural, Fuzzy and Bio-Inspired Systems, 1999. MicroNeuro '99. Proceedings of the Seventh International Conference on
Conference_Location :
Granada
Print_ISBN :
0-7695-0043-9
Type :
conf
DOI :
10.1109/MN.1999.758876
Filename :
758876
Link To Document :
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