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A Parallel Python library for nonlinear systems

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Abstract

In this paper, we present PyPANCG, a Python library-interface that implements both the conjugate gradient method and the preconditioned conjugate gradient method for solving nonlinear systems. We describe the use of the library and its advantages in order to get fast development. The aim of this library is to develop high performance scientific codes for high-end computers hiding many of the underlying low-level programming complexities from users with the use of a high-level Python interface. The library has been designed for adapting to different stages of the design process, depending on whether the purpose is computational performance or fast development. Experimental results report the performance of our approach on different parallel computers.

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Authors and Affiliations

  1. Departamento de Física y Arquitectura de Computadores, Universidad Miguel Hernández, 03202, Elche, Alicante, Spain

    Héctor Migallón

  2. Departamento de Ciencia de la Computación e Inteligencia Artificial, Universidad de Alicante, 03071, Alicante, Spain

    Violeta Migallón & José Penadés

Authors
  1. Héctor Migallón
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  2. Violeta Migallón
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  3. José Penadés
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Corresponding author

Correspondence to Héctor Migallón.

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Migallón, H., Migallón, V. & Penadés, J. A Parallel Python library for nonlinear systems. J Supercomput 58, 438–448 (2011). https://doi.org/10.1007/s11227-011-0609-1

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  • DOI: https://doi.org/10.1007/s11227-011-0609-1

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