SCADOPT: HPC Framework for PDE Constrained Optimization Problems
"SCADOPT is a highly-scalable open-source HPC framework written in C++ for solving PDE constrained optimization problems. The framework is designed to handle explicit time-stepping methods over structured grids for the approximation of time-dependent PDEs.
It provides an interface to gradient-based optimization algorithms like L-BFGS-B. Derivatives needed for the optimization are computed via algorithmic differentiation (AD) since this approach provides exact derivatives values with a reasonable computational overhead. Hence, the integration of the AD-tool ADOL-C has been a major design principle for the data management of SCADOPT." [1]
Releases
SCADOPT is freely available under the New BSD license.
| Version | Date | Size |
|---|---|---|
| scadopt-1.0.0_beta.zip | 2014-05-27 | 0.9 MB |
| scadopt-2.0.0.zip | 2014-11-20 | 0.4 MB |
Contact
Kim Feldhoff
Martin Schroschk
Ulf Markwardt
Funding
SCADOPT was supported in parts by the Federal Ministry of Education and Research (BMBF) within the research project HPC-FLiS under the support code 01 IH 11 009.
Publication
[1] Kim Feldhoff, Martin Flehmig, Ulf Markwardt, Wolfgang E. Nagel, Maria Schütte, Andrea Walther "SCADOPT: An Open-source HPC Framework for Solving PDE Constrained Optimization Problems Using AD", Proceedings of 2014 IEEE International Conference on High Performance Computing and Communications (HPCC), pp. 46-53, 2014