Automating Embedded Analysis Capabilities and Managing Software Complexity in Multiphysics Simulation, Part I: Template-Based Generic Programming | Zendy

Roger P. Pawlowski | Zendy; Eric Phipps | Zendy; Andrew G. Salinger | Zendy

Open Access

Automating Embedded Analysis Capabilities and Managing Software Complexity in Multiphysics Simulation, Part I: Template-Based Generic Programming

Author(s) -

Roger P. Pawlowski,

Eric Phipps,

Andrew G. Salinger

Publication year - 2012

Publication title -

scientific programming

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.269

H-Index - 36

eISSN - 1875-919X

pISSN - 1058-9244

DOI - 10.1155/2012/202071

Subject(s) - computer science , multiphysics , generic programming , theoretical computer science , set (abstract data type) , simple (philosophy) , computational science , programming language , variety (cybernetics) , software , computer engineering , artificial intelligence , finite element method , philosophy , physics , epistemology , thermodynamics

An approach for incorporating embedded simulation and analysis capabilities in complex simulation codes through template-based generic programming is presented. This approach relies on templating and operator overloading within the C++ language to transform a given calculation into one that can compute a variety of additional quantities that are necessary for many state-of-the-art simulation and analysis algorithms. An approach for incorporating these ideas into complex simulation codes through general graph-based assembly is also presented. These ideas have been implemented within a set of packages in the Trilinos framework and are demonstrated on a simple problem from chemical engineering.

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