Parallel algorithm constructs minimum-height A-B-trees using fewer processors, indicating efficiency gains.
We present an optimal parallel algorithm for the construction of(a, b)-trees-a generalization of 2-3 trees, 2-3-4 trees, and B-trees. We show the existence of a canonical form for (a, b)-trees, with a very regular structure, which allows us to obtain a scalable parallel algorithm for the construction of a minimum-height (a, b)-tree with N keys in O(N/p + log log N) time using p less than or equal to N/log log N processors on the EREW-PRAM model, and in O(N/p) time using p less than or equal to N processors on the CREW model. We show that the average memory utilization for the canonical form is at least 50% better than that for the worst-case and is also better than that for a random (a, b)-tree. A significant feature of the proposed parallel algorithm is that its time-complexity depends neither on a nor on b, and hence our general algorithm is superior to earlier algorithms for parallel construction of B-trees.
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