A Domain-Specific Language for Model Coupling

Bulatewicz, Tom; Cuny, Janice E.

doi:10.1109/wsc.2006.323199

Cited by 10 publications

(7 citation statements)

References 7 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

“…Furthermore, high-frequency interaction between models demands automated methods that allow the linked model to execute autonomously. The need for model linking (also called model coupling) has motivated considerable work toward methods and tools (Larson et al, 2001;David et al, 2002;Buis et al, 2006;Bulatewicz and Cuny, 2006;Ford et al, 2006;Joppich and Kurschner, 2006;Gregersen et al, 2007).…”

Section: Model Linking Methodsmentioning

confidence: 99%

Accessible integration of agriculture, groundwater, and economic models using the Open Modeling Interface (OpenMI): methodology and initial results

Bulatewicz

Yang

Peterson

et al. 2010

Hydrol. Earth Syst. Sci.

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Abstract. Policy for water resources impacts not only hydrological processes, but the closely intertwined economic and social processes dependent on them. Understanding these process interactions across domains is an important step in establishing effective and sustainable policy. Multidisciplinary integrated models can provide insight to inform this understanding, though the extent of software development necessary is often prohibitive, particularly for small teams of researchers. Thus there is a need for practical methods for building interdisciplinary integrated models that do not incur a substantial development effort. In this work we adopt the strategy of linking individual domain models together to build a multidisciplinary integrated model. The software development effort is minimized through the reuse of existing models and existing model-linking tools without requiring any changes to the model source codes, and linking these components through the use of the Open Modeling Interface (OpenMI). This was found to be an effective approach to building an agricultural-groundwater-economic integrated model for studying the effects of water policy in irrigated agricultural systems. The construction of the integrated model provided a means to evaluate the impacts of two alternative water-use policies aimed at reducing irrigated water use to sustainable levels in the semi-arid grasslands overlying the Ogallala Aquifer of the Central US. The results show how both the economic impact in terms of yield and revenue and the environmental impact in terms of groundwater level

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“…Unfortunately, available datasets are not efficiently shared among the existing diverse model simulations and data processors [2,3]. This situation is caused primarily by the lack of homogeneous, well-defined descriptions, transformations, and interconnections.…”

Section: Introductionmentioning

confidence: 99%

“…Model coupling is a particularly complex topic with numerous solutions proposed, as for example described in [2], [3], and [23]. However, as explained in [9], most of the existing model interoperability methods require the users to modify source code in order to create meaningful model coupling scenarios.…”

Section: Introductionmentioning

confidence: 99%

SUNPRISM: An approach and software tools for collaborative climate change research

Okamoto

Hoang

Dascalu

et al. 2012

2012 International Conference on Collaboration Technologies and Systems (CTS)

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In order to simulate scientific models in various conditions climate change research involves using large sets of heterogeneous data. In many cases, for model interoperability a dataset from a given model or source needs to be transformed into a different data format required by a subsequent model or processor. This paper presents the SUNPRISM approach and software tools aimed at supporting collaborative scientific exploration via new capabilities for combining data transformations, model simulations, and output visualizations in application scenarios developed for climate change research. The SUNPRISM framework's defining characteristics are a visual object-based interface for scenario configuration, a workflowbased environment that allows code generation and dataflow scenario execution, and data visualization capabilities for 3D environments, including for immersive virtual environments such as CAVE. The paper describes the proposed approach and its supporting tools, the SUNPRISM Scenario Manager and the SUNPRISM Visualizer, and illustrates them on an application scenario in which data from the National Digital Forecast Database is retrieved and visualized in 3D. A brief comparison with related work and an outline of directions for future work are also included in the paper.

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A Domain-Specific Language for Model Coupling

Cited by 10 publications

References 7 publications

Multiphysics simulations: challenges and opportunities.

Multiphysics simulations: challenges and opportunities.

Accessible integration of agriculture, groundwater, and economic models using the Open Modeling Interface (OpenMI): methodology and initial results

SUNPRISM: An approach and software tools for collaborative climate change research

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