Title :
Parallel algorithms for height balancing binary trees
Author :
Venkatraman, S. ; Kime, Alicia ; Srinivas, Kankanahalli
Author_Institution :
Dept. of Comput. Sci., West Virginia Univ., Morgantown, WV, USA
Abstract :
The authors present a simple parallel algorithm to height-balance a binary tree. The algorithm accepts any arbitrary binary tree as its input and yields an optimally shaped binary tree. For any arbitrary binary tree of n nodes the algorithm has a time complexity of O(lgn) and utilizes O(n) processors on a EREW PRAM model. The algorithm uses Euler tours and list ranking, which form the building blocks for many parallel algorithms
Keywords :
computational complexity; parallel algorithms; random-access storage; tree data structures; EREW PRAM model; Euler tours; height balancing binary trees; list ranking; optimally shaped binary tree; parallel algorithm; time complexity; Back; Binary trees; Computer science; Optimized production technology; Parallel algorithms; Phase change random access memory; Reactive power; Shape; Tree data structures;
Conference_Titel :
Parallel Processing Symposium, 1993., Proceedings of Seventh International
Conference_Location :
Newport, CA
Print_ISBN :
0-8186-3442-1
DOI :
10.1109/IPPS.1993.262903