Title :
Circuit placement in arbitrarily shaped regions using neural network
Author :
Ray-I Chang ; Pei-Yung Hsiao
Author_Institution :
Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
Circuit placement is a very important step in the physical VLSI circuit design, since it has a pronounced affect on the final chip layout. In this paper, a new neural network based on Kohonen´s self-organization algorithm is introduced to solve the placement of arbitrarily sized cells in an arbitrarily shaped region. Experimental results show that the proposed method is better than the previous.<>
Keywords :
VLSI; circuit layout CAD; self-organising feature maps; Kohonen´s self-organization algorithm; arbitrarily shaped region; arbitrarily shaped regions; chip layout; circuit placement; neural network; physical VLSI circuit design; Circuits; Computer networks; Intelligent networks; Neural networks; Neurons; Partitioning algorithms; Physics computing; Shape; Very large scale integration; Wire;
Conference_Titel :
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-1233-3
DOI :
10.1109/TENCON.1993.320209
