TAO users manual.

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Description

The Toolkit for Advanced Optimization (TAO) focuses on the design and implementation of component-based optimization software for the solution of large-scale optimization applications on high-performance architectures. Their approach is motivated by the scattered support for parallel computations and lack of reuse of linear algebra software in currently available optimization software. The TAO design allows the reuse of toolkits that provide lower-level support (parallel sparse matrix data structures, preconditioners, solvers), and thus they are able to build on top of these toolkits instead of having to redevelop code. The advantages in terms of efficiency and development time are significant. The TAO ... continued below

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55 pages

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Benson, S.; McInnes, L. C.; More, J. J. & Sarich, J. December 2, 2003.

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Description

The Toolkit for Advanced Optimization (TAO) focuses on the design and implementation of component-based optimization software for the solution of large-scale optimization applications on high-performance architectures. Their approach is motivated by the scattered support for parallel computations and lack of reuse of linear algebra software in currently available optimization software. The TAO design allows the reuse of toolkits that provide lower-level support (parallel sparse matrix data structures, preconditioners, solvers), and thus they are able to build on top of these toolkits instead of having to redevelop code. The advantages in terms of efficiency and development time are significant. The TAO design philosophy uses object-oriented techniques of data and state encapsulation, abstract classes, and limited inheritance to create a flexible optimization toolkit. This chapter provides a short introduction to the design philosophy by describing the objectives in TAO and the importance of this design. Since a major concern in the TAO project is the performance and scalability of optimization algorithms on large problems, they also present some performance results.

Physical Description

55 pages

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  • Other Information: PBD: 2 Dec 2003

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  • Report No.: ANL/MCS-TM-242 REV. 1.5
  • Grant Number: W-31-109-ENG-38
  • DOI: 10.2172/822565 | External Link
  • Office of Scientific & Technical Information Report Number: 822565
  • Archival Resource Key: ark:/67531/metadc780051

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  • December 2, 2003

Added to The UNT Digital Library

  • Dec. 3, 2015, 9:30 a.m.

Description Last Updated

  • March 29, 2016, 9:26 p.m.

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Benson, S.; McInnes, L. C.; More, J. J. & Sarich, J. TAO users manual., report, December 2, 2003; Illinois. (digital.library.unt.edu/ark:/67531/metadc780051/: accessed August 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.