One-dimensional optimization on multiprocessor systems

  • Authors:
  • Mark A. Franklin;Norman L. Soong

  • Affiliations:
  • Departments of Electrical Engineering and Computer Science, Washington University, St, Louis, MO;Sperry-Univac, Blue Bell, PA

  • Venue:
  • IEEE Transactions on Computers
  • Year:
  • 1981

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Abstract

This paper presents a straightforward approach to determining how best to utilize an MIMD multiprocessor in the solution of one-dimensional optimization problems involving continuous unimodal functions and nongradient search techniques. A methodology is presented which allows one to consider a variety of speedup functions which may occur in parallel function and systems evaluation. It is shown how the best of two parallel optimization strategies can be determined for a given accuracy, number of processors, and speedup function.