Managing complexity in massively parallel, adaptive, multiphysics applications

Edwards, Harold

doi:10.1007/s00366-006-0032-z

Cited by 10 publications

(4 citation statements)

References 15 publications

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“…In terms of the DAG approach, the foundation of ExprLib is based on the work of Notz et al [3,21]. Notable alternatives to ExprLib have been used and implemented in SIERRA [22,23] and Aria [24], Charon, and Phalanx as part of the Trilinos project [25].…”

Section: Related Workmentioning

confidence: 99%

Wasatch: An architecture-proof multiphysics development environment using a Domain Specific Language and graph theory

Saad

Sutherland

2016

Journal of Computational Science

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To address the coding and software challenges of modern hybrid architectures, we propose an approach to multiphysics code development for high-performance computing. This approach is based on using a Domain Specific Language (DSL) in tandem with a directed acyclic graph (DAG) representation of the problem to be solved that allows runtime algorithm generation. When coupled with a large-scale parallel framework, the result is a portable development framework capable of executing on hybrid platforms and handling the challenges of multiphysics applications. We share our experience developing a code in such an environment-an effort that spans an interdisciplinary team of engineers and computer scientists.

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Section: Related Workmentioning

confidence: 99%

Wasatch: An architecture-proof multiphysics development environment using a Domain Specific Language and graph theory

Saad

Sutherland

2016

Journal of Computational Science

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“…This nonlinear system of equations for the discrete displacement variables can be solved using a nonlinear iterative solver coupled with a linear solver for the resulting sequence of linear systems of equations. For all of the MEMS beam calculations in this work, we used Aria, a Galerkin finite element-based program for coupled-physics problems implemented in Sandia National Laboratories' Sierra framework of multiphysics codes [25]. In order to solve the nonlinear elasticity model, a neo-Hookean material model (2.5) and a surface force post-processor (described in Section 2.2) was added to Aria.…”

Section: Elasticity Modelmentioning

confidence: 99%

Solution-verified reliability analysis and design of bistable MEMS using error estimation and adaptivity.

Eldred¹,

Subia²,

Neckels³

et al. 2006

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This report documents the results for an FY06 ASC Algorithms Level 2 milestone combining error estimation and adaptivity, uncertainty quantification, and probabilistic design capabilities applied to the analysis and design of bistable MEMS. Through the use of error estimation and adaptive mesh refinement, solution verification can be performed in an automated and parameter-adaptive manner. The resulting uncertainty analysis and probabilistic design studies are shown to be

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“…Sandia National Laboratories' SIERRA Framework ( Edwards 2006 , http://csmr.ca.sandia.gov/projects/ftalg/Edwards02.pdf ) is a further effort to find common abstractions for modelling data structures. The project aims to unify core data structures and facilities in several computation codes, reduce maintenance costs, enhance performance across the suite of codes and facilitate interoperability to support massively parallel multi-physics simulations.…”

Section: Introductionmentioning

confidence: 99%

FieldML: concepts and implementation

Christie

Nielsen

Blackett³

et al. 2009

Phil. Trans. R. Soc. A.

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The field modelling language FieldML is being developed as a standard for modelling and interchanging field descriptions in software, suitable for a wide range of computation techniques. It comprises a rich set of operators for defining generalized fields as functions of other fields, starting with basic domain fields including sets of discrete objects and coordinate systems. It is extensible by adding new operators and by their arbitrary combination in expressions, making it well suited for describing the inherent complexity of biological materials and organ systems. This paper describes the concepts behind FieldML, including a simple example of a spatially varying finite-element field. It outlines current implementations in established, open source computation and visualization software, both drawing on decades of bioengineering modelling software development experience.

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Managing complexity in massively parallel, adaptive, multiphysics applications

Cited by 10 publications

References 15 publications

Wasatch: An architecture-proof multiphysics development environment using a Domain Specific Language and graph theory

Wasatch: An architecture-proof multiphysics development environment using a Domain Specific Language and graph theory

Solution-verified reliability analysis and design of bistable MEMS using error estimation and adaptivity.

FieldML: concepts and implementation

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