DocumentCode :
2626186
Title :
Asymptotically optimal probabilistic embedding algorithms for supporting tree structured computations in hypercubes
Author :
Li, Keqin ; Dorband, John E.
Author_Institution :
Dept. of Math. & Comput. Sci., State Univ. of New York, New Paltz, NY, USA
fYear :
1999
fDate :
21-25 Feb 1999
Firstpage :
218
Lastpage :
225
Abstract :
We show two asymptotically optimal probabilistic tree embedding algorithms in hypercubes with constant dilation. These algorithms are slight extension of the random walk algorithm. The first algorithm allows a tree node to have a stay option during each step of a random walk. The second algorithm permits varying length of random walks. Numerical data are given to demonstrate performance improvement
Keywords :
hypercube networks; parallel algorithms; tree data structures; hypercubes; probabilistic embedding algorithms; random walk algorithm; tree structured computations; Computer science; Concurrent computing; Embedded computing; HTML; Heuristic algorithms; Hypercubes; Mathematics; NASA; Uniform resource locators; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontiers of Massively Parallel Computation, 1999. Frontiers '99. The Seventh Symposium on the
Conference_Location :
Annapolis, MD
Print_ISBN :
0-7695-0087-0
Type :
conf
DOI :
10.1109/FMPC.1999.750603
Filename :
750603
Link To Document :
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