Title :
Fast parallel algorithm for finding the kth longest path in a tree
Author_Institution :
Sch. of Comput. & Inf. Technol., Griffith Univ., Nathan, Qld., Australia
Abstract :
We present a fast parallel algorithm running in O(log2n) time on a CREW PRAM with O(n) processors for finding the kth longest path in a given tree of n vertices (with Θ(n2 ) intervertex distances). Our algorithm is obtained by efficient parallelization of a sequential algorithm which is a variant of both N. Megiddo et al.´s algorithm and G.N. Fredrickson et al.´s algorithm based on centroid decomposition of tree and succinct representation of the set of intervertex distances. With the same time and space bound as the best known result, our sequential algorithm maintains a shorter length of the decomposition tree
Keywords :
computational complexity; parallel algorithms; trees (mathematics); CREW PRAM; centroid decomposition; decomposition tree; intervertex distances; kth longest path; parallel algorithm; sequential algorithm; tree; Computer science; Concurrent computing; Data structures; Information technology; Matrix decomposition; Merging; Network address translation; Parallel algorithms; Phase change random access memory; Sorting;
Conference_Titel :
Advances in Parallel and Distributed Computing, 1997. Proceedings
Conference_Location :
Shanghai
Print_ISBN :
0-8186-7876-3
DOI :
10.1109/APDC.1997.574028