Title :
Routing using implicit connection graphs [VLSI design]
Author :
Zheng, S.Q. ; Lim, J.S. ; Iyengar, S.S.
Author_Institution :
Dept. of Comput. Sci., Louisiana State Univ., Baton Rouge, LA, USA
Abstract :
We introduce a framework for a class of algorithms solving shortest path related problems, such as the one-to-one shortest path problem, the one-to-many shortest paths problem and the minimum spanning tree problem, in the presence of obstacles. For these algorithms, the search space is restricted to a sparse strong connection graph which is implicitly represented and its searched portion is constructed incrementally on-the-fly during search. The time and space requirements of these algorithms essentially depend on actual search behavior. These algorithms are suitable for large VLSI design applications with many obstacles
Keywords :
VLSI; circuit layout CAD; graph theory; integrated circuit layout; search problems; VLSI layout; implicit connection graphs; large VLSI design applications; minimum spanning tree problem; obstacles; search behavior; shortest path related problems; sparse strong connection graph; Algorithm design and analysis; Circuits; Computer science; Information systems; Orbital robotics; Routing; Shortest path problem; Target tracking; Tree graphs; Very large scale integration;
Conference_Titel :
VLSI Design, 1996. Proceedings., Ninth International Conference on
Conference_Location :
Bangalore
Print_ISBN :
0-8186-7228-5
DOI :
10.1109/ICVD.1996.489453