Overview

The MASA (Manufactured Analytical Solutions Abstraction) library is a software interface that provides access to all manufactured solutions to be used by various models throughout the PECOS center. The library is written in C++, but provides an API for development in C and Fortran.

Thanks for your interest in MASA. To aid in usage, this manual is further divided into the following subsections:

Reporting Bugs

Bugs in the code and errors or omissions in the documentation can be reported to masa-.nosp@m.dev@.nosp@m.ices..nosp@m.utex.nosp@m.as.ed.nosp@m.u. Requests and contributions are welcome at the same e-mail address. All bug reports should include:

the version number of the MASA library,
the hardware and operating system,
the compiler used, including version number and compilation options,
a description of the bug behavior, and ideally,
a short program which reproduces the bug.

License

Copyright (C) 2010 The PECOS Development Team This library is free software; you can redistribute it and/or modify it under the terms of the Version 2.1 GNU Lesser General Public License as published by the Free Software Foundation.

This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.

Acknowledgments

This material is based in part upon work supported by the Department of Energy National Nuclear Security Administration under Award Number DE-FC52-08NA28615.

More Information About PECOS

The Center for Predictive Engineering and Computational Sciences (PECOS) is one of five US centers sponsored under the Predictive Science Academic Alliance Program (PSAAP) of the National Nuclear Security Administration's Advanced Simulation and Computing Program. The PECOS center is housed within the Institute for Computational Engineering and Sciences (ICES) at the University of Texas at Austin. For additional information or questions regarding the PECOS center, please contact info@pecos.ices.utexas.edu.