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10.1109/FSCS.1990.89598guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Communication complexity of algebraic computation

Published: 22 October 1990 Publication History

Abstract

The authors consider a situation in which two processors P/sub 1/ and P/sub 2/ are to evaluate one or more functions f/sub 1/, . . ., f/sub s/ of two vector variables x and y, under the assumption that processor P/sub 1/ (respectively, P/sub 2/) has access only to the value of x (respectively, y) and the functional form of f/sub 1/, . . ., f/sub s/. They consider a continuous model of communication whereby real-valued messages are transmitted, and they study the minimum number of messages required for the desired computation. Tight lower bounds are established for the following three problems: (1) each f/sub i/ is a rational function and only one-way communication is allowed. (2) The variables x and y are matrices and the processors wish to solve the linear system (x+y)z=b for the unknown z. (3) The processors wish to evaluate a particular root of the polynomial equation Sigma (x/sub i/+y/sub i/)z/sup i/=0, where the sum is from i=0 to n-1.

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Published In

cover image Guide Proceedings
SFCS '90: Proceedings of the 31st Annual Symposium on Foundations of Computer Science
October 1990
ISBN:081862082X

Publisher

IEEE Computer Society

United States

Publication History

Published: 22 October 1990

Author Tags

  1. algebraic computation
  2. communication complexity
  3. lower bounds
  4. model of communication
  5. multiprocessors
  6. real-valued messages

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