In order to tackle the complex problems that face today's engineers and scientists, it is sometimes necessary to harness the power of high-performance computing. Techniques to enhance performance include the development of improved algorithms and the use of parallel computing, and the most efficient solutions are often achieved when these two elements are combined. Parallel computing involves the division of a complicated program into smaller tasks which are then performed simultaneously by several processors, thus reducing the total execution time dramatically. However this process raises several new issues, including task allocation and communication between processors, which do not appear in normal serial computing. Containing a selection of invited review articles, this book covers issues central to parallel computing algorithms. ? Features chapters on both general analysis and practical applications. ? Places particular emphasis on a variety of applications in engineering. ? Designed specifically to increase awareness of the potential of parallel computing amongst engineers and scientists.
Reihe
Sprache
Verlagsort
Southampton
Großbritannien
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
Maße
ISBN-13
978-1-85312-511-9 (9781853125119)
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Schweitzer Klassifikation
Problems, solutions and applications of parallel computing on distributed systems; A symbolic descriptive tool for unidirectional spatial representation of efficient systolic computations; Portable message passing implementation and performance analyses of engineering application modules; Parallelisation of CFD methods for incompressible and compressible flows; Distributed parallel strategies for industrial CFD solvers; A multipolar BEM formulation for large first kind boundary value Stokes flow problems; Introduction into stochastic stability of high-performance computing systems in engineering.
