Publication: Automatic Computation of Sensitivities for a Parallel Aerodynamic Simulation
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Automatic Computation of Sensitivities for a Parallel Aerodynamic Simulation

- Part of a collection -
 

Area
Computational Fluid Dynamics

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

Published in
Parallel Computing: Architectures, Algorithms and Applications

Editor(s)
C. Bischof, M. Bücker, P. Gibbon, G. Joubert, T. Lippert, B. Mohr, F. Peters

Year
2008

Publisher
IOS Press

Abstract
Derivatives of functions given in the form of large-scale simulation codes are frequently used in computational science and engineering. Examples include design optimization, parameter estimation, solution of nonlinear systems, and inverse problems. In this note we address the computation of derivatives of a parallel computational fluid dynamics code by automatic differentiation. More precisely, we are interested in the derivatives of the flow field around a three-dimensional airfoil with respect to the angle of attack and the yaw angle. We discuss strategies for transforming MPI commands by the forward and reverse modes of automatic differentiation and report performance results on a Sun Fire E2900.

AD Tools
ADIFOR

AD Theory and Techniques
Parallelism

BibTeX
@INPROCEEDINGS{
         Rasch2008ACo,
       author = "A.~Rasch and H.~M.~B{\"u}cker and C.~H.~Bischof",
       title = "Automatic Computation of Sensitivities for a Parallel Aerodynamic Simulation",
       series = "Advances in Parallel Computing",
       publisher = "{IOS} {P}ress",
       address = "Amsterdam, The Netherlands",
       isbn = "978-1-58603-796-3",
       pages = "303--310",
       note = "Co-published with {NIC-Directors} as Volume 38 of {NIC} Series, 2007",
       url = "http://www.fz-juelich.de/nic-series/volume38/volume38.html",
       abstract = "Derivatives of functions given in the form of large-scale simulation codes are
         frequently used in computational science and engineering. Examples include design optimization,
         parameter estimation, solution of nonlinear systems, and inverse problems. In this note we address
         the computation of derivatives of a parallel computational fluid dynamics code by automatic
         differentiation. More precisely, we are interested in the derivatives of the flow field around a
         three-dimensional airfoil with respect to the angle of attack and the yaw angle. We discuss
         strategies for transforming MPI commands by the forward and reverse modes of automatic
         differentiation and report performance results on a Sun~Fire~E2900.",
       booktitle = "Parallel Computing: {A}rchitectures, Algorithms and Applications",
       year = "2008",
       editor = "C. Bischof and M. B{\"u}cker and P. Gibbon and G. Joubert and T. Lippert
         and B. Mohr and F. Peters",
       volume = "15",
       ad_area = "Computational Fluid Dynamics",
       ad_tools = "ADIFOR",
       ad_theotech = "Parallelism"
}


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