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9th International Conference on VLSI Design: VLSI in Mobile Communication
Routing using implicit connection graphs [VLSI design
Bangalore, INDIA
January 03-January 06
ISBN: 0-8186-7228-5
S.Q. Zheng, Dept. of Comput. Sci., Louisiana State Univ., Baton Rouge, LA, USA
J.S. Lim, Dept. of Comput. Sci., Louisiana State Univ., Baton Rouge, LA, USA
S.S. Iyengar, Dept. of Comput. Sci., Louisiana State Univ., Baton Rouge, LA, USA
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.
Index Terms:
VLSI; integrated circuit layout; graph theory; circuit layout CAD; search problems; implicit connection graphs; shortest path related problems; minimum spanning tree problem; obstacles; sparse strong connection graph; search behavior; large VLSI design applications; VLSI layout
Citation:
S.Q. Zheng, J.S. Lim, S.S. Iyengar, "Routing using implicit connection graphs [VLSI design," vlsid, pp.49, 9th International Conference on VLSI Design: VLSI in Mobile Communication, 1996
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