Publication: Enabling technologies for robust high-performance simulations in computational fluid dynamics
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Enabling technologies for robust high-performance simulations in computational fluid dynamics

- incollection -
 

Area
Computational Fluid Dynamics

Author(s)
C. H. Bischof , H. M. Bücker , A. Rasch

Published in
Summary of Flow Modulation and Fluid-Structure Interaction Findings

Editor(s)
W. Schröder

Year
2010

Publisher
Springer

Abstract
In computational science and engineering, the role of computer science includes the mechanical generation of programs for the fast computation of accurate derivatives and the efficient utilization of parallel computer architectures. Automatic differentiation and parallel computing are two technologies enabling robust high-performance simulations in various scientific and engineering disciplines. This article gives a survey of selected results of an interdisciplinary research project where automatic differentiation, parallel computing, and their interplay are investigated in the context of two computational fluid dynamics packages developed at RWTH Aachen University.

AD Tools
ADIFOR

AD Theory and Techniques
Parallelism

BibTeX
@INCOLLECTION{
         Bischof2010Etf,
       author = "C. H. Bischof and H. M. B{\"u}cker and A. Rasch",
       title = "Enabling technologies for robust high-performance simulations in computational fluid
         dynamics",
       booktitle = "Summary of Flow Modulation and Fluid-Structure Interaction Findings",
       publisher = "Springer",
       editor = "W. Schr{\"o}der",
       pages = "153--180",
       doi = "10.1007/978-3-642-04088-7_7",
       address = "Berlin",
       number = "109/2010",
       series = "Notes on Numerical Fluid Mechanics and Multidisciplinary Design",
       abstract = "In computational science and engineering, the role of computer science includes the
         mechanical generation of programs for the fast computation of accurate derivatives and the efficient
         utilization of parallel computer architectures. Automatic differentiation and parallel computing are
         two technologies enabling robust high-performance simulations in various scientific and engineering
         disciplines. This article gives a survey of selected results of an interdisciplinary research
         project where automatic differentiation, parallel computing, and their interplay are investigated in
         the context of two computational fluid dynamics packages developed at RWTH Aachen University.",
       year = "2010",
       ad_area = "Computational Fluid Dynamics",
       ad_tools = "ADIFOR",
       ad_theotech = "Parallelism"
}


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