DocumentCode :
2189200
Title :
Neural core module for embedded intelligence
Author :
Diepenhorst, M. ; Haseborg, H. Ter ; Nijhuis, J.A.G. ; Spaanenburg, L.
Author_Institution :
Dept. of Comput. Sci., Groningen Univ., Netherlands
Volume :
2
fYear :
1998
fDate :
31 May-3 Jun 1998
Firstpage :
462
Abstract :
A multiplication unit is proposed that allows for an efficient computation of products of 32-, 16- and 8-bit fixed point numbers. In the latter two modes of operation, two resp. four multiplications are executed in parallel. The proposed unit implements multiplication according to the DIGILOG principle and is designed to operate on a 100 Mhz clock in a 0.8 mm CMOS technology. The design of the unit is motivated by the potential benefits to be gained from a digital platform that integrates the emulation and training of neural networks with pre-processing of the signals that they process. Efficient realization of the multiplication operation is a major requirement of such a device
Keywords :
CMOS digital integrated circuits; digital arithmetic; multiplying circuits; neural chips; 0.8 micron; 100 MHz; 16 bit; 32 bit; 8 bit; CMOS digital circuit; DIGILOG arithmetic; embedded intelligence; emulation; fixed point number; neural core module; neural network; parallel multiplication; signal pre-processing; training; Arithmetic; CMOS technology; Clocks; Emulation; Equations; Intelligent sensors; Neural networks; Signal design; Signal processing; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-4455-3
Type :
conf
DOI :
10.1109/ISCAS.1998.706976
Filename :
706976
Link To Document :
بازگشت