Title :
Mapping of neural networks onto the 3D-VLSI
Author :
Perunicic, B. ; Milutinovic, V. ; Markovic, P.
Author_Institution :
Sarajevo Univ., Yugoslavia
Abstract :
The paper tries to shed more light on the general problem of mapping of neural networks onto the three-dimensional VLSI (3D-VLSI). The paper summarizes the relevant literature on 3D-VLSI, and it presents some examples which demonstrate the advantages of mapping various neural network models onto the 3D-VLSI. The paper also sets up the directions of future research, and underlines the expected efficiency improvements
Keywords :
VLSI; neural nets; 3D-VLSI; future research; mapping; neural network models; neural networks; Circuits; Computer architecture; Costs; Etching; Extrapolation; Neural networks; Power dissipation; Systolic arrays; Very large scale integration; Wire;
Conference_Titel :
System Sciences, 1991. Proceedings of the Twenty-Fourth Annual Hawaii International Conference on
Conference_Location :
Kauai, HI
DOI :
10.1109/HICSS.1991.183884
