New Algorithms and Lower Bounds for the Parallel Evaluation of Certain Rational Expressions,

Abstract

The paper presents new algorithms for the parallel evaluation of certain polynomial expressions. In particular, for the parallel evaluation of (x sup n) the author introduces an algorithm which takes two steps of parallel division and (log(base 2) n)) steps of parallel addition, while the usual algorithm takes (log(base 2)n)) steps of parallel multiplication. Hence the algorithm is faster than the usual algorithm when multiplication takes more time than addition. Similar algorithms for the evaluation of other polynomial expressions are also introduced. Lower bounds on the time needed for the parallel evaluation of rational expressions are given. All the algorithms presented in the paper are shown to be asymptotically optimal. Moreover, the author proves that by using parallelism the evaluation of any first order rational recurrence, e.g., (y sub(i+1)) = 1/2 (y sub i + a/y), and any non-linear polynomial recurrence can be sped up at most by a constant factor, no matter how many processors are used. (Author)

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1974
Accession Number
AD0779055

Entities

People

  • H. T. Kung

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Test And Evaluation

Fields of Study

  • Mathematics

Readers

  • Linear Algebra
  • Parallel and Distributed Computing.