A Multiphysics and Multiscale Software Environment for Modeling Astrophysical Systems

Zwart, Simon Portegies; McMillan, Stephen L. W.; Nualláin, Breanndán Ó; Heggie, Douglas C.; Lombardi, James C.; Hut, Piet; Banerjee, Sambaran; Belkus, Houria; Fragos, Tassos; Fregeau, John M.; Fuji, Michiko; Gaburov, Evghenii; Glebbeek, Evert; Groen, Derek; Harfst, Stefan; Izzard, R. G.; Jurić, Mario; Justham, Stephen; Teuben, Peter; Bever, J. Van; Yaron, O.; Zemp, Marcel

doi:10.1007/978-3-540-69387-1_23

Cited by 10 publications

(4 citation statements)

References 19 publications

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“…Of course, many additional projects address important aspects of multiphysics simulations. Such projects include approaches that facilitate working at higher levels of abstraction (Ford et al, 2006;Sahu et al, 1999;McInnes et al, 2006;Bulatewicz and Cuny, 2006;DeVito et al, 2011), as well as software such as Cactus (Goodale et al, 2003), Coupler (Liu and Sosonkina, 2011), DDEMA (Michopoulos et al, 2003), FLASH (Dubey et al, 2009), InterComm (Sussman, 2006), Jade (Hegewald et al, 2008), Karma (Mahadevan et al, 2009), MCT (Larson et al, 2005), MUSE (Zwart et al, 2008), Overlink (Grandy, 2004), Overture (Hen-53 shaw, 2002), PreCICE , Sierra (Stewart and Edwards, 2004), and XpressSpace (Zhang et al, 2011a).…”

Section: Software Successesmentioning

confidence: 99%

Multiphysics simulations: challenges and opportunities.

Keyes¹,

McInnes²,

Woodward³

et al. 2012

149

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We consider multiphysics applications from algorithmic and architectural perspectives, where "algorithmic" includes both mathematical analysis and computational complexity and "architectural" 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.

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Section: Software Successesmentioning

confidence: 99%

Multiphysics simulations: challenges and opportunities.

Keyes¹,

McInnes²,

Woodward³

et al. 2012

149

View full text Add to dashboard Cite

show abstract

“…The coupling program is written in Python and communicates with the models, which are written mainly in Fortran, through a framework named OMUSE. (Pelupessy et al, , see also ; Pelupessy et al, ; Portegies Zwart et al, ; Portegies Zwart et al, ). This setup is illustrated in Figure .…”

Section: Methodsmentioning

confidence: 94%

Regional Superparameterization in a Global Circulation Model Using Large Eddy Simulations

Jansson

Oord

Pelupessy

et al. 2019

J Adv Model Earth Syst

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As a computationally attractive alternative for global large eddy simulations (LESs), we investigate the possibility of using comprehensive three-dimensional LESs as a superparameterization that can replace all traditional parameterizations of atmospheric processes that are currently used in global models. We present the technical design for a replacement of the parameterization for clouds, convection, and turbulence of the global atmospheric model of the European Centre for Medium-Range Weather Forecasts by the Dutch Atmospheric Large Eddy Simulation model. The model coupling consists of bidirectional data exchange between the global model and the high-resolution LES models embedded within the columns of the global model. Our setup allows for selective superparameterization, that is, for applying superparameterization in local regions selected by the user, while keeping the standard parameterization of the global model intact outside this region. Computationally, this setup can result in major geographic load imbalance, because of the large difference in computational load between superparameterized and nonsuperparameterized model columns. To resolve this issue, we use a modular design where the local and global models are kept as distinct model codes and organize the model coupling such that all the local models run in parallel, separate from the global model. First simulation results, employing this design, demonstrate the potential of our approach.

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“…Of course, many additional projects address important aspects of multiphysics simulations. Such projects include approaches that facilitate working at higher levels of abstraction (Sahu et al, 1999;Bulatewicz and Cuny, 2006;Ford et al, 2006;McInnes et al, 2006;DeVito et al, 2011), as well as software such as Cactus (Goodale et al, 2003), Coupler (Liu and Sosonkina, 2011), DDEMA (Michopoulos et al, 2003), FLASH (Dubey et al, 2009), InterComm (Sussman, 2006), Jade (Hegewald et al, 2008), Karma (Mahadevan et al, 2009), MCT (Larson et al, 2005), MUSE (Zwart et al, 2008), Overlink (Grandy, 2004), Overture (Henshaw, 2002), PreCICE (Gatzhammer et al, 2010), Sierra (Stewart and Edwards, 2004), and XpressSpace (Zhang et al, 2011a).…”

Section: Common Needsmentioning

confidence: 99%

Multiphysics simulations

Keyes

McInnes

Woodward

et al. 2013

The International Journal of High Performance Computing Applica

278

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We consider multiphysics applications from algorithmic and architectural perspectives, where “algorithmic” includes both mathematical analysis and computational complexity, and “architectural” 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.

show abstract

A Multiphysics and Multiscale Software Environment for Modeling Astrophysical Systems

Cited by 10 publications

References 19 publications

Multiphysics simulations: challenges and opportunities.

Multiphysics simulations: challenges and opportunities.

Regional Superparameterization in a Global Circulation Model Using Large Eddy Simulations

Multiphysics simulations

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