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L. Laemmer, "Parallelisation of Explicit Flow Solvers for Moving Boundary Problems", in B.H.V. Topping, (Editor), "Parallel and Distributed Processing for Computational Mechanics: Systems and Tools", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 16, pp 286-299, 1999. doi:10.4203/csets.2.16

Abstract

This paper presents a scalable and efficient parallelisation strategy for the explicit solution techniques applied to moving boundary problems in time-dependent free-surface flow simulation. The parallelisation approach is based on the geometric non-overlapping domain decomposition method. The main features of the investigation are the use of communicational kernels, suitable data structuring techniques for the computational kernels, the parallel programming model and a scalability matched to the problem size and to the computer power available.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Computational Science, Engineering & Technology Series ISSN 1759-3158 CSETS: 2 PARALLEL AND DISTRIBUTED PROCESSING FOR COMPUTATIONAL MECHANICS: SYSTEMS AND TOOLS Edited by: B.H.V. Topping Chapter 16 Parallelisation of Explicit Flow Solvers for Moving Boundary Problems L. Laemmer Technical University of Darmstadt, Darmstadt, Germany doi:10.4203/csets.2.16 purchase the full-text of this chapter Full Bibliographic Reference for this chapter L. Laemmer, "Parallelisation of Explicit Flow Solvers for Moving Boundary Problems", in B.H.V. Topping, (Editor), "Parallel and Distributed Processing for Computational Mechanics: Systems and Tools", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 16, pp 286-299, 1999. doi:10.4203/csets.2.16 Abstract This paper presents a scalable and efficient parallelisation strategy for the explicit solution techniques applied to moving boundary problems in time-dependent free-surface flow simulation. The parallelisation approach is based on the geometric non-overlapping domain decomposition method. The main features of the investigation are the use of communicational kernels, suitable data structuring techniques for the computational kernels, the parallel programming model and a scalability matched to the problem size and to the computer power available. purchase the full-text of this chapter (price £20) go to the previous chapter go to the next chapter return to the table of contents return to the book description purchase this book (price £95 +P&P)
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