Accession Number:

ADA455473

Title:

PDS: Direct Search Methods for Unconstrained Optimization on Either Sequential or Parallel Machines

Descriptive Note:

Corporate Author:

RICE UNIV HOUSTON TX DEPT OF MATHEMATICAL SCIENCES

Personal Author(s):

Report Date:

1992-03-01

Pagination or Media Count:

16.0

Abstract:

PDS is a collection of Fortran subroutines for solving unconstrained nonlinear optimization problems using direct search methods. The software is written so that execution on sequential machines is straightforward while execution on Intel distributed memory machines, such as the iPSC2, the iPSC860 or the Touchstone Delta, can be accomplished simply by including a few well-defined routines containing calls to Intel-specific Fortran libraries. Those interested in using the methods on other distributed memory machines, even something as basic as a network of workstations or personal computers, need only modify these few subroutines to handle the global communication requirements. Furthermore, since the parallelism is clearly defined at the doloop level, it is a simple matter to insert compiler directives that allow for execution on shared memory parallel machines. Included here is an example of such directives, contained in comment statements, for execution on a Sequent Symmetry S81.

Subject Categories:

  • Computer Hardware

Distribution Statement:

APPROVED FOR PUBLIC RELEASE