Journal ArticleDOI
Multiphysics simulations: Challenges and opportunities
David E. Keyes,Lois Curfman McInnes,Carol S. Woodward,William Gropp,Eric Myra,Michael Pernice,John B. Bell,Jed Brown,Alain Clo,Jeffrey M. Connors,Emil M. Constantinescu,Donald Estep,Katherine J. Evans,Charbel Farhat,Ammar Hakim,Glenn E. Hammond,Glen A. Hansen,Judith Hill,Tobin Isaac,Xiangmin Jiao,Kirk E. Jordan,Dinesh K. Kaushik,Efthimios Kaxiras,Alice Koniges,Kihwan Lee,P. Aaron Lott,Qiming Lu,John H. Magerlein,Reed M. Maxwell,Michael McCourt,Miriam Mehl,Roger P. Pawlowski,Amanda Randles,Daniel R. Reynolds,Béatrice Rivière,Ulrich Rüde,Timothy D. Scheibe,John N. Shadid,Brendan Sheehan,Mark S. Shephard,Andrew R. Siegel,Barry Smith,Xian-Zhu Tang,Cian R. Wilson,Barbara Wohlmuth +44 more
- Vol. 27, Iss: 1, pp 4-83
TLDR
This study considers multiphysics applications from algorithmic and architectural perspectives, where “algorithmic” includes both mathematical analysis and computational complexity, and “architectural’ includes both software and hardware environments.Abstract:
We consider multiphysics applications from algorithmic and architectural perspectives, where âalgorithmicâ includes both mathematical analysis and computational complexity, and âarchitecturalâ includes both software and hardware environments. Many diverse multiphysics applications can be reduced, en route to their computational simulation, to a common algebraic coupling paradigm. Mathematical analysis of multiphysics coupling in this form is not always practical for realistic applications, but model problems representative of applications discussed herein can provide insight. A variety of software frameworks for multiphysics applications have been constructed and refined within disciplinary communities and executed on leading-edge computer systems. We examine several of these, expose some commonalities among them, and attempt to extrapolate best practices to future systems. From our study, we summarize challenges and forecast opportunities.read more
Citations
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Fixed Point Theory
TL;DR: The first group of results in fixed point theory were derived from Banach's fixed point theorem as discussed by the authors, which is a nice result since it contains only one simple condition on the map F, since it is easy to prove and since it nevertheless allows a variety of applications.
CFD Vision 2030 Study: A Path to Revolutionary Computational Aerosciences
Jeffrey P. Slotnick,Abdollah Khodadoust,Juan J. Alonso,David L. Darmofal,William Gropp,Elizabeth Lurie,Dimitri J. Mavriplis +6 more
TL;DR: In this article, the results of a study to address the long range, strategic planning required by NASA's Revolutionary Computational Aerosciences (RCA) program in the area of computational fluid dynamics (CFD), including future software and hardware requirements for High Performance Computing (HPC), are presented.
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OpenMDAO: an open-source framework for multidisciplinary design, analysis, and optimization
TL;DR: The theory and architecture of OpenMDAO is presented, an open-source MDO framework that uses Newton-type algorithms to solve coupled systems and exploits problem structure through new hierarchical strategies to achieve high computational efficiency.
Journal ArticleDOI
MOOSE: Enabling Massively Parallel Multiphysics Simulation.
Cody J. Permann,Derek Gaston,David Andrs,Robert W. Carlsen,Fande Kong,Alexander Lindsay,Jason M. Miller,John W. Peterson,Andrew E. Slaughter,Roy H. Stogner,Richard C. Martineau +10 more
TL;DR: The Multiphysics Object Oriented Simulation Environment (MOOSE) aims to enable development by providing simplified interfaces for specification of partial differential equations, boundary conditions, material properties, and all aspects of a simulation without the need to consider the parallel, adaptive, nonlinear, finite-element solve that is handled internally.
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Numerical simulation of laminar reacting flows with complex chemistry
TL;DR: An adaptive algorithm for low Mach number reacting flows with complex chemistry that uses an operator-split treatment of stiff reaction terms and includes effects of differential diffusion is presented.
References
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