A Coarse-Grained Parallel Variable-Complexity Multidisciplinary Optimization Paradigm

Author:

Burgee Susan1,Giunta Anthony A.2,Balabanov Vladimir2,Grossman Bernard2,Mason William H.2,Narducci Robert2,Haftka Raphael T.3,Watson Layne T.4

Affiliation:

1. DEPARTMENT OF COMPUTER SCIENCE, VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY, BLACKSBURG, VA 24061-0106

2. DEPARTMENT OF AEROSPACE AND OCEAN ENGINEERING, VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY, BLACKSBURG, VA 24061-0203

3. DEPARTMENT OF AEROSPACE ENGINEERING, MECHANICS, AND ENGINEERING SCIENCE, UNIVERSITY OF FLORIDA, GAINESVILLE, FL 32611-6250

4. DEPARTMENTS OF COMPUTER SCIENCE AND MATHEMATICS, VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY, BLACK-BURG, VA 24061-0203

Abstract

Modem aerospace vehicle design requires the interac tion of multiple disciplines, traditionally processed in a sequential order. Multidisciplinary optimization (MDO), a formal methodology for the integration of these disci plines, is evolving toward methods capable of replacing the traditional sequential methodology of aerospace vehi cle design by concurrent algorithms, with both an overall gain in product performance and a decrease in design time. A parallel MDO paradigm using variable-complexity modeling and multipoint response surface approxima tions is presented here for the particular instance of the design of a high-speed civil transport (HSCT). This para digm interleaves the disciplines at one level of complexity and processes them hierarchically at another level of complexity, achieving parallelism within disciplines rather than across disciplines. A master-slave paradigm manages a coarse-grained parallelism of the analysis and optimization codes required by the disciplines showing reasonable speedups and efficiencies on an Intel Paragon.

Publisher

SAGE Publications

Subject

General Engineering,General Computer Science

Reference30 articles.

1. Factorial Designs, the |X′X| Criterion, and Some Related Matters

2. Burgee, S.L., Giunta, A.A., Narducci, R., Watson, L.T., Grossman, B., and Haftka, R.T. 1995. A coarse grained variable-complexity approach to MDO for HSCT design. In Parallel processingfor scientific computing , edited by D. H. Bailey, P. E. Bjørstad, J. R. Gilbert , M. V. Mascagni, R. S. Schreiber, H. D. Simon , V. J. Torczon, and L. T. Watson. Philadelphia: SIAM, pp. 96-101.

3. Parallel multipoint variable-complexity approximations for multidisciplinary optimization

4. Wing-body aeroelasticity using finite-difference fluid/finite element structural equations on parallel computers

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