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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Algorithmic Differentiation of Pragma-Defined Parallel Regions: Differentiating Computer Programs Containing Openmp

Algorithmic Differentiation of Pragma-Defined Parallel Regions: Differentiating Computer Programs Containing Openmp

Förster, Michael

Paperback

General ComputersGeneral Mathematics

ISBN10: 3658075961
ISBN13: 9783658075965
Publisher: Springer Vieweg
Published: Oct 23 2014
Pages: 405
Weight: 1.21
Height: 0.93 Width: 5.83 Depth: 8.27
Language: English

Numerical programs often use parallel programming techniques such as OpenMP to compute the program's output values as efficient as possible. In addition, derivative values of these output values with respect to certain input values play a crucial role. To achieve code that computes not only the output values simultaneously but also the derivative values, this work introduces several source-to-source transformation rules. These rules are based on a technique called algorithmic differentiation. The main focus of this work lies on the important reverse mode of algorithmic differentiation. The inherent data-flow reversal of the reverse mode must be handled properly during the transformation. The first part of the work examines the transformations in a very general way since pragma-based parallel regions occur in many different kinds such as OpenMP, OpenACC, and Intel Phi. The second part describes the transformation rules of the most important OpenMP constructs.

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