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Latin American High Performance Computing Conference

CARLA 2017: High Performance Computing pp 139–153Cite as

PRIMULA: A Framework Based on Finite Elements to Address Multi Scale and Multi Physics Problems

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 796))

Abstract

The PRIMULA code, a multi scale and multithreads open source framework based on finite elements applicable to the numerical resolution of partial differential equations is presented. PRIMULA is portable to LINUX/UNIX, where it is compiled with gfortran, and to WINDOWS, compiled in the Visual Studio environment. It can be compiled to run in series, with shared memory under the Standard OPENMP, in a distributed environment under Standard MPI and on hybrid systems, with a compilation that combines MPI-OPENMP. The code was tested with non-linear problems in a 16 cores Intel Xeon (R) E5-2630 v3 multiprocessor of 2.4 GHz and in TUPAC, with 4 × Hexadeca core AMD Opteron 6276s processors. This paper presents results of scalability and computation times of some of the multiple tests to which it was submitted.

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Acknowledgment

I would like to thank CSC researchers and the TUPAC team of administrators for ongoing support they provided me during all of PRIMULA’s writing, installation and scalability analysis tasks.

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Authors and Affiliations

  1. CNEA - CONICET Centro Atómico Constituyentes, Av. Gral. Paz 1499, San Martín, Argentina

    Alejandro Soba

Authors
  1. Alejandro Soba
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Corresponding author

Correspondence to Alejandro Soba .

Editor information

Editors and Affiliations

  1. CSC-CONICET and Universidad de Buenos Aires, Buenos Aires, Argentina

    Esteban Mocskos

  2. Universidad de la República, Montevideo, Uruguay

    Sergio Nesmachnow

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Soba, A. (2018). PRIMULA: A Framework Based on Finite Elements to Address Multi Scale and Multi Physics Problems. In: Mocskos, E., Nesmachnow, S. (eds) High Performance Computing. CARLA 2017. Communications in Computer and Information Science, vol 796. Springer, Cham. https://doi.org/10.1007/978-3-319-73353-1_10

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  • DOI: https://doi.org/10.1007/978-3-319-73353-1_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73352-4

  • Online ISBN: 978-3-319-73353-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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