Exploiting Parallelism In General Purpose Optimization
Author(s)
G. Venter & B. Watson
Abstract
Exploiting parallelism in general purpose
optimization
G. Venter & B. Watson
Vanderplaats Research and Development, Inc.
Colorado Springs, CO, USA
Abstract
VisualDOC, a general purpose design optimization code that is commercially
available from Vanderplaats Research and Development, Inc. (VR&D), is used
as a test-bed for evaluating the efficiency of parallelizing current optimization
algorithms. The finite difference gradient calculations of VisualDOC are
implemented in parallel form and these changes are evaluated using a typical
aircraft wing example problem. VisualDOC provides three algorithms for
performing constrained nonlinear optimization and the investigation focuses on
the influence of the optimization algorithm and the number of design variables
on the efficiency of performing the optimization in parallel. The need to
additionally parallelize the one-dimensional search calculations is also
investigated. The Local Area Multiprocessor (LAM
Keywords
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