TAO : Toolkit for Advanced Optimization
MCS People Involved:
Lois Curfman McInnes, Jorge Moré, Jason Sarich, Stefan Wild
The TAO project focuses on software for large-scale optimization problems. TAO uses an object-oriented design to create a flexible toolkit with strong emphasis on the reuse of external tools where appropriate. Our design enables bi-directional connection to lower level linear algebra support (for example, parallel sparse matrix data structures) as well as higher level application frameworks. The Toolkit for Advanced Optimization (TAO) is aimed at the solution of large-scale optimization problems on high-performance architectures. Our main goals are portability, performance, scalable parallelism, and an interface independent of the architecture.