Name
Abstract | ||
|---|---|---|
Ranking a tree is defined as a mapping rho of the nodes to the set (1, 2, . . .) such that if there is a path from u to v and rho (u)= rho (v) then there is a node w on the path from u to v such that rho (w) rho (u). The highest number assigned to the node is called the rank number of the mapping. A mapping rho with the smallest rank number is called optimal ranking. The best known serial algorithm takes O(n) time for the optimal node ranking. However, the problem of finding the optimal tree ranking appears to be highly sequential. It remains open whether it is in NC. The paper proposes a fast parallel algorithm for finding approximate optimal node ranking of trees using O(logn) steps with n/sup 2/ processors on a CRCW PRAM and an efficient parallel algorithm using O(log/sup 2/n) steps with n processors on a EREW model. |
Year | DOI | Venue |
|---|---|---|
1990 | 10.1109/SPDP.1990.143502 | Dallas, TX |
Keywords | Field | DocType |
parallel algorithm,circuits,communication networks,computer science,computational complexity,set,algorithm design and analysis,parallel algorithms,tree graphs,nodes,path | Tree (graph theory),Algorithm design,Ranking,Computer science,Parallel algorithm,Parallel computing,Particle separators,Distributed computing,Computational complexity theory | Conference |
ISBN | Citations | PageRank |
0-8186-2087-0 | 4 | 0.64 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Y. Daniel Liang | 1 | 153 | 14.93 |
| Sudarshan K. Dhall | 2 | 522 | 60.65 |
| S. Lakshmivarahan | 3 | 412 | 66.03 |