Exploiting storage redundancy to speed Up randomized shared memory simulations

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Abstract

This paper presents and analyses efficient implementations of a so-called direct process on distributed memory machines (DMMs) that yields - a simulation of an n-processor PRAM on an n-processor optical crossbar DMM with delay O(log log n), - a simulation of an n-processor PRAM on an n-processor arbitrary DMM with delay O (formula presented) - an implementation of a static dictionary on an n-processor arbitrary DMM with parallel access time of O(log* n). We further prove a lower bound for executing the above process, showing that our implementations are optimal.

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Meyer auf der Heide, F., Scheideler, C., & Stemann, V. (1995). Exploiting storage redundancy to speed Up randomized shared memory simulations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 900, pp. 265–278). Springer Verlag. https://doi.org/10.1007/3-540-59042-0_79

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