O(log log N) Time Algorithms for Hamiltonian Suffix and Min-Max-Pair Heap Operations on the Hypercube

This paper deals with a fast implementation of a heap data structure on a hypercube-connected, synchronous, distributed-memory multicomputer. In particular, we present a communication-efficient mapping of a min-max-pair heap on the hypercube architecture in which the load on each processor's local memory is balanced and propose cost-optimal parallel algorithms which requireO((logN)/p+ logp) time to perform single insertion, deletemin, and deletemax operations on a min-max-pair heap of sizeN, wherepis the number of processors. Our implementation is based on an embedding of complete binary trees in the hypercube and an efficient parallel solution to a special kind of suffix computation, that we call theHamiltonian suffix, along a Hamiltonian path in the hypercube. The binary tree underlying the heap data structure is, however, not altered by the mapping process.