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Title: Automating Embedded Analysis Capabilities and Managing Software Complexity in Multiphysics Simulation, Part II: Application to Partial Differential Equations

A template-based generic programming approach was presented in Part I of this series of papers [Sci. Program. 20 (2012), 197–219] that separates the development effort of programming a physical model from that of computing additional quantities, such as derivatives, needed for embedded analysis algorithms. In this paper, we describe the implementation details for using the template-based generic programming approach for simulation and analysis of partial differential equations (PDEs). We detail several of the hurdles that we have encountered, and some of the software infrastructure developed to overcome them. We end with a demonstration where we present shape optimization and uncertainty quantification results for a 3D PDE application.
Authors:
 [1] ;  [1] ;  [1] ;  [1] ;  [1] ;  [1]
  1. Department of Numerical Analysis and Applications, Sandia National Laboratories, Albuquerque, NM, USA
Publication Date:
OSTI Identifier:
1197980
Type:
Published Article
Journal Name:
Scientific Programming
Additional Journal Information:
Journal Volume: 20; Journal Issue: 3; Related Information: CHORUS Timestamp: 2016-08-23 11:16:59; Journal ID: ISSN 1058-9244
Publisher:
Hindawi Publishing Corporation
Sponsoring Org:
USDOE National Nuclear Security Administration (NNSA)
Country of Publication:
Egypt
Language:
English