Automating embedded analysis capabilities and managing software complexity in multiphysics simulation part I: template-based generic programming
Mathematical Software
2012-05-17 v2 Computational Engineering, Finance, and Science
Abstract
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.
Cite
@article{arxiv.1205.0790,
title = {Automating embedded analysis capabilities and managing software complexity in multiphysics simulation part I: template-based generic programming},
author = {Roger P. Pawlowski and Eric T. Phipps and Andrew G. Salinger},
journal= {arXiv preprint arXiv:1205.0790},
year = {2012}
}