Title of article
TOPS information processing on a single chip
Author/Authors
Ari Paasio، نويسنده , , A.، نويسنده , , Kananen، نويسنده , , A.، نويسنده , , Halonen، نويسنده , , K.، نويسنده , , Porra، نويسنده , , V.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 1998
Pages
3
From page
13
To page
15
Abstract
One of the main objectives in CNN design is to have as small a cell size as possible and because there are normally 19 synapses implemented in each cell, we cannot select an architecture that is very area consuming. In our approach we simplify the multiplication procedure without losing the overall input-output mapping. In that way the synapses can be built from very few transistors and the cell layout can be made small. What has been noticed is that when the initial values of the network are bipolar and when the obtained network output is also bipolar, in almost every case we can use a high-gain output nonlinearity to replace the unity gain. Another required modification is to move the whole processing into a positive range
Keywords
Welcome to The Chip! The article in this column brings to.your. , י a t t ent i~nthdee sign of a cellular neural network (CNN) universal machine chipwith 295 cells per . , quare millimeter-the highest cell density reported to date.The 48 x 48 cell grid , 000 transistors. It shows that a processing speed oftera operatioospe? second (TOPS) is achievable with a single chip. This will certainlyopen the.door to a host of new applications requiring real-time informa-י , , tion processing. ?le hope you will find the article informative and enjoyable. , 2.8 V analog chip was implemented in a 0.5 micron CMOStechnology and contains 220
Journal title
IEEE Circuits and Devices Magazine
Serial Year
1998
Journal title
IEEE Circuits and Devices Magazine
Record number
397312
Link To Document