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Title: Large-scale unconstrained optimization on the FPS 164 and Cray X-MP vector processors

Journal Article · · Int. J. Supercomput. Appl.; (United States)

Among methods for large-scale unconstrained optimization, partitioned quasi-Newton methods seem fairly suitable for vector computing. This paper reports on efforts to adapt a method of this type to vector processors. The conclusion is that a satisfying improvement in performance can be obtained, especially when the inner loops deal with the elements of the objective function. Performances on FPS 164 and CRAY X-MP machines are compared.

Research Organization:
Belgian National Fund for Scientific Research, Dept. of Mathematics, Facultes Universitaires nd de la Paix, B-5000 Namur (BE)
OSTI ID:
7019984
Journal Information:
Int. J. Supercomput. Appl.; (United States), Vol. 2:1
Country of Publication:
United States
Language:
English