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Multi-scale CAFE framework for simulating fracture in heterogeneous materials implemented in Fortran co-arrays and MPI

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2016 PGAS Applications Workshop (PAW 2016)
Subtitle of host publicationProceedings of a meeting held 14 November 2016, Salt Lake City, Utah, USA
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers
Pages1-8
Number of pages8
ISBN (Electronic)9781509052141
ISBN (Print)9781509052158
DOIs
StatePublished - Apr 2017

Abstract

Fortran coarrays have been used as an extension to the standard for over 20 years, mostly on Cray systems. Their appeal to users increased substantially when they were standardised in 2010. In this work we show that coarrays offer simple and intuitive data structures for 3D cellular automata (CA) modelling of material microstructures. We show how coarrays can be used together with an MPI finite element (FE) library to create a two-way concurrent hierarchical and scalable multi-scale CAFE deformation and fracture framework. Design of a coarray cellular automata microstructure evolution library CGPACK is described. A highly portable MPI FE library ParaFEM was used in this work. We show that independently CGPACK and ParaFEM programs can scale up well into tens of thousands of cores. Strong scaling of a hybrid ParaFEM/CGPACK MPI/coarray multi-scale framework was measured on an important solid mechanics practical example of a fracture of a steel round bar under tension. That program did not scale beyond 7 thousand cores. Excessive synchronisation might be one contributing factor to relatively poor scaling. Therefore we conclude with a comparative analysis of synchronisation requirements in MPI and coarray programs. Specific challenges of synchronising a coarray library are discussed.

    Research areas

  • Computer aided engineering, Mechanical engineering, Microstructure, Parallel algorithms, Parallel programming, Scientific computing, Supercomputers

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at http://ieeexplore.ieee.org/document/7836381/. Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 915 KB, PDF-document

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