Relations between concurrent-write models of parallel computation

  • Authors:

  • Faith E. Fich;Prabhakar L. Ragde;Avi Wigderson

  • Affiliations:

  • -;-;-

  • Venue:
  • PODC '84 Proceedings of the third annual ACM symposium on Principles of distributed computing
  • Year:
  • 1984

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Abstract

Shared-memory models for parallel computation (e.g. parallel RAMs) are very natural and already widely used for parallel algorithm design. The various models differ from each other mainly in the way they restrict simultaneous processor access to a shared memory cell. Understanding the relative power of these models is important for understanding the power of parallel computation. Two recent pioneering works shed some light in this question. Cook and Dwork [CD] (resp. Snir [S]) present problems that, for instances of size n, can be solved in O(1) time on an n-processor PRAM that allows simultaneous write (resp. read) access to shared memory, but require &Ohgr;(log n) time on a PRAM that forbids simultaneous write (resp. read) access, regardless of the number of processors. When allowing simultaneous write access, the model must include a write-conflict resolution scheme. Three such schemes were suggested in the literature, and in this paper we study their relative power. Here the situation is more sensitive, as a small increase in the number of processors allows constant time simulation of the strongest by the weakest. By fixing the number of processors and parametrizing the number of shared memory cells, we obtain tight separation results between the models, thereby partially answering open questions of Vishkin [V]. New lower bounds techniques are developed for this purpose.