PDS: Direct Search Methods for Unconstrained Optimization on Either Sequential or Parallel Machines
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 iPSC/2, the iPSC/860 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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1992
- Accession Number
- ADA455473
Entities
People
- Virginia Torczon
Organizations
- Rice University