Testing parallel variable transformation

Testing parallel variable transformation

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Article ID: iaor20003786
Country: Netherlands
Volume: 13
Issue: 1/2/3
Start Page Number: 253
End Page Number: 274
Publication Date: Apr 1999
Journal: Computational Optimization and Applications
Authors: ,
Keywords: optimization, computational analysis
Abstract:

This paper studies performance of the parallel variable transformation (PVT) algorithm for unconstrained nonlinear optimization through numerical experiments on a Fujitsu VPP500, one of the most up-to-date vector parallel computers. Special attention is paid to a particular form of the PVT algorithm that is regarded as a generalization of the block Jacobi algorithm that allows overlapping of variables among processors. Implementation strategies on the VPP500 are described in detail and results of numerical experiments are reported.

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