Title :
Automatic layout generation for mixed analog-digital VLSI neural chips
Author :
Chen, David J. ; Sheu, Bing J.
Author_Institution :
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
A systematic approach to automatic layout generation for the emerging mixed analog-digital VLSI neural systems is described. A macro-cell layout methodology based on a hierarchical floorplanning and placement procedure, a constraint-driven analog module generator, and a priority-based block router have been exclusively developed for neural chip implementation. Special analog VLSI layout constraints are analyzed and properly incorporated into the layout generation on each level of the circuit hierarchy to achieve both high performance and overall area efficiency. The floorplans for single-layer fully-connected Hopfield neural chips and multiple-layer neural chips have been developed. Experimental results on a 16-neuron neural circuit are presented
Keywords :
VLSI; analogue-digital conversion; circuit layout CAD; neural nets; analog VLSI layout constraints; area efficiency; automatic layout generation; constraint-driven analog module generator; hierarchical floorplanning; macro-cell layout; mixed analog-digital VLSI neural chips; multiple-layer neural chips; performance; placement; priority-based block router; single-layer fully-connected Hopfield neural chips; Analog circuits; Analog-digital conversion; Image processing; Integrated circuit interconnections; Neural network hardware; Neural networks; Routing; Shape; Signal processing; Very large scale integration;
Conference_Titel :
Computer Design: VLSI in Computers and Processors, 1990. ICCD '90. Proceedings, 1990 IEEE International Conference on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-8186-2079-X
DOI :
10.1109/ICCD.1990.130152