Enhanced emulated digital CNN-UM (CASTLE) arithmetic cores

被引：0
|
作者：
Hidviégi, T
Keresztes, P
Szolgay, P
机构：
[1] Hungarian Acad Sci, Inst Comp & Automat, Analog & Neural Comp Syst Lab, H-1502 Budapest, Hungary
[2] Istvan Szechenyi Univ, H-9026 Gyor, Hungary
[3] Univ Veszprem, Image Proc & Neurocomp Dept, Veszprem, Hungary
来源：
JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS | 2003年 / 12卷 / 06期
关键词：
cellular nonlinear/ neural networks (CNN); emulated digital architecture; optimized arithmetic core; CNN Universal Machine;
D O I：
10.1142/S0218126603001136
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
An emulated digital CNN-UM (CASTLE) architecture was published few years ago.(1) Different emulated digital CNN-UM architectures are analyzed in the paper. These new modified architectures are optimized according to the silicon area, operating speed or dissipated power. A reconfigurable arithmetic core will also be shown in the paper, by which solution of the neighborhood size can be changed. An advanced CASTLE with pipe-lining is presented. The operation frequency is increased by using this solution in approximately 10 times.
引用
收藏
页码：711 / 738
页数：28
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