Derivation of a Maximally Parallel Algorithm for Balancing Binary Search Trees

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Abstract
A recent trend in program methodologies is to derive efficient parallel programs from sequential programs. This paper explores the question of transforming a sequential algorithm into an efficient parallel algorithm by considering the problem of balancing binary search trees. The derivation of the parallel algorithm makes use of stepwise refinement. We first derive a new iterative balancing algorithm that exploits the similarity of pointer restructuring required at all the nodes at the same level. From this we derive a parallel algorithm that has time complexity O(1) on an $N$-processor configuration. This achieves the theoretical limit of speed-up possible in a multi-processor configuration.
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1984-09
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Cornell University
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computer science; technical report
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http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR84-638
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technical report
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