| 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: | Fukushima Masao, Yamakawa Eiki |
| Keywords: | optimization, computational analysis |
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.