Title :
A neural network for scheduling and allocation in VLSI design
Author :
Wu, Xing-Qiang ; Carothers, Jo Dale ; Gassen, David
Author_Institution :
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
fDate :
27 Jun-2 Jul 1994
Abstract :
Neural networks have shown success in solving some difficult optimization problems. Problems become more complex, it is increasingly difficult to find a suitable encoding of constraints into an energy function, which will effectively guide the network to a desired solution. In previous work by Gassen and Carothers (1993), a difficult scheduling problem in VLSI design was encoded into a Hopfield-type neural network. In this paper, we report significant enhancements which allow additional design constraints to be considered and more flexibility for considering the specific design under development
Keywords :
Hopfield neural nets; VLSI; circuit CAD; integrated circuit design; optimisation; scheduling; Hopfield-type neural network; VLSI design; allocation; energy function; scheduling; Clocks; Design optimization; Encoding; Hopfield neural networks; Intelligent networks; Network synthesis; Neural networks; Neurons; Processor scheduling; Very large scale integration;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374457
