OpenAD : algorithm implementation user guide.

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Research in automatic differentiation has led to a number of tools that implement various approaches and algorithms for the most important programming languages. While all these tools have the same mathematical underpinnings, the actual implementations have little in common and mostly are specialized for a particular programming language, compiler internal representation, or purpose. This specialization does not promote an open test bed for experimentation with new algorithms that arise from exploiting structural properties of numerical codes in a source transformation context. OpenAD is being designed to fill this need by providing a framework that allows for relative ease in the ... continued below

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Utke, J. May 13, 2004.

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This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this report can be viewed below.

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  • Argonne National Laboratory
    Publisher Info: Argonne National Lab., Argonne, IL (United States)
    Place of Publication: Argonne, Illinois

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Description

Research in automatic differentiation has led to a number of tools that implement various approaches and algorithms for the most important programming languages. While all these tools have the same mathematical underpinnings, the actual implementations have little in common and mostly are specialized for a particular programming language, compiler internal representation, or purpose. This specialization does not promote an open test bed for experimentation with new algorithms that arise from exploiting structural properties of numerical codes in a source transformation context. OpenAD is being designed to fill this need by providing a framework that allows for relative ease in the implementation of algorithms that operate on a representation of the numerical kernel of a program. Language independence is achieved by using an intermediate XML format and the abstraction of common compiler analyses in Open-Analysis. The intermediate format is mapped to concrete programming languages via two front/back end combinations. The design allows for reuse and combination of already implemented algorithms. We describe the set of algorithms and basic functionality currently implemented in OpenAD and explain the necessary steps to add a new algorithm to the framework.

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  • Other Information: PBD: 13 May 2004

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  • Report No.: ANL/MCS-TM-274
  • Grant Number: W-31-109-ENG-38
  • DOI: 10.2172/834715 | External Link
  • Office of Scientific & Technical Information Report Number: 834715
  • Archival Resource Key: ark:/67531/metadc785700

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  • May 13, 2004

Added to The UNT Digital Library

  • Dec. 3, 2015, 9:30 a.m.

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  • March 29, 2016, 8:26 p.m.

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Utke, J. OpenAD : algorithm implementation user guide., report, May 13, 2004; Argonne, Illinois. (digital.library.unt.edu/ark:/67531/metadc785700/: accessed August 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.