Title :
Orientation assignment of standard cells using a fuzzy mathematical transformation
Author :
Yan, Jin-Tai ; Hsiao, Pei-Yung
Author_Institution :
Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
In the VLSI standard cell design style, the main objective of the placement phase is to position a set of standard cells on the chip surface with a minimum area. Another advanced improvement, on the total wire length, can be made by flipping the standard cells after the placement phase. It is well known that minimizing the total wire length reduces the routing area in a standard cell placement. The orientation problem is to minimize the total wire length by assigning optimal orientations of standard cells. In this paper, based on fuzzy c-means clustering, we develop a fuzzy graph clustering algorithm to solve the orientation problem. The proposed approach has tested some standard cell placements, and produced a significant reduction of the total wire length
Keywords :
VLSI; cellular arrays; circuit optimisation; fuzzy set theory; graph theory; integrated logic circuits; logic arrays; minimisation; network routing; VLSI standard cell design; cell flipping; chip surface; fuzzy c-means clustering; fuzzy graph clustering algorithm; fuzzy mathematical transformation; minimum area; optimal orientation assignment; standard cell placement phase; total wire length minimization; Circuit testing; Cost function; Information science; Joining processes; Partitioning algorithms; Pins; Routing; Simulated annealing; Very large scale integration; Wire;
Conference_Titel :
TENCON '94. IEEE Region 10's Ninth Annual International Conference. Theme: Frontiers of Computer Technology. Proceedings of 1994
Print_ISBN :
0-7803-1862-5
DOI :
10.1109/TENCON.1994.369137