DocumentCode
1702373
Title
ASIC design of a Kohonen neural network microchip
Author
Rajah, Avinash ; Hani, Mohamed Khalil
Author_Institution
Dept. of Microelectron. & Comput. Eng., Univ. Teknologi Malaysia, Johor Bahru, Malaysia
fYear
2004
Abstract
This paper discusses the Kohonen neural network (KNN) processor and its KNN computation engine microchip. The ASIC design of the KNN processor adopts a novel implementation approach whereby the computation of the KNN algorithm is performed on the custom ASIC microchip and its operations are governed by a FPGA based controller. Thus, the ASIC implementation of the KNN processor is derived through integration between a custom ASIC and FPGA. The 3.3V AMI 0.5μm C05M-D process technology was used to achieve the VLSI design of the computation engine microchip and the entire design adopted the BBX cell based methodology, which is a viable alternative to conventional ASIC methodology.
Keywords
VLSI; application specific integrated circuits; field programmable gate arrays; integrated circuit design; logic design; microprocessor chips; neural chips; 0.5 micron; 3.3 V; BBX cell; C05M-D process; KNN algorithm; Kohonen neural network microchip; VLSI design; custom ASIC; field programmable gate array; Algorithm design and analysis; Application specific integrated circuits; Biological neural networks; Computer networks; Engines; Field programmable gate arrays; Neural networks; Neurons; Pattern recognition; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Semiconductor Electronics, 2004. ICSE 2004. IEEE International Conference on
Print_ISBN
0-7803-8658-2
Type
conf
DOI
10.1109/SMELEC.2004.1620857
Filename
1620857
Link To Document