Parallel selection by regular sampling

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Abstract

Bulk-synchronous parallelism (BSP) is a simple and efficient paradigm for parallel algorithm design and analysis. In this paper, we present a new simple deterministic BSP algorithm for the classical problem of selecting the k-th smallest element from an array of size n, for a given k, on a parallel computer with p processors. Our algorithm is based on the technique of regular sampling. It runs in optimal O(n/p) local computation and communication, and near-optimal O(loglogp) synchronisation. The algorithm is of theoretical interest, as it gives an improvement in the asymptotic synchronisation cost over its predecessors. It is also simple enough to be implementable. © 2010 Springer-Verlag.

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APA

Tiskin, A. (2010). Parallel selection by regular sampling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6272 LNCS, pp. 393–399). https://doi.org/10.1007/978-3-642-15291-7_36

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