Paper: Impact of communications on the complexity of the Parallel Gaussian Elimination

  • Authors:
  • E. Bampis;J. C. Konig;D. Trystram

  • Affiliations:
  • -;-;-

  • Venue:
  • Parallel Computing
  • Year:
  • 1991

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Abstract

This paper presents an extension to the complexity analysis of parallel algorithms on MIMD computers with a shared-memory system which takes into account communications. This analysis shows that the well-known asymptotically optimal results are insufficient because we show that the overhead is in O(n^3). The optimal parallel time with O(n) processors is only O("n^2). The new scheduling algorithm that we have proposed in this paper reduces the overhead to only O(n^2) with the same parallel time.