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FEMPAR: An Object-Oriented Parallel Finite Element Framework

Overview of attention for article published in Archives of Computational Methods in Engineering, October 2017
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Title
FEMPAR: An Object-Oriented Parallel Finite Element Framework
Published in
Archives of Computational Methods in Engineering, October 2017
DOI 10.1007/s11831-017-9244-1
Pubmed ID
Authors

Santiago Badia, Alberto F. Martín, Javier Principe

Abstract

FEMPAR is an open source object oriented Fortran200X scientific software library for the high-performance scalable simulation of complex multiphysics problems governed by partial differential equations at large scales, by exploiting state-of-the-art supercomputing resources. It is a highly modularized, flexible, and extensible library, that provides a set of modules that can be combined to carry out the different steps of the simulation pipeline. FEMPAR includes a rich set of algorithms for the discretization step, namely (arbitrary-order) grad, div, and curl-conforming finite element methods, discontinuous Galerkin methods, B-splines, and unfitted finite element techniques on cut cells, combined with h-adaptivity. The linear solver module relies on state-of-the-art bulk-asynchronous implementations of multilevel domain decomposition solvers for the different discretization alternatives and block-preconditioning techniques for multiphysics problems. FEMPAR is a framework that provides users with out-of-the-box state-of-the-art discretization techniques and highly scalable solvers for the simulation of complex applications, hiding the dramatic complexity of the underlying algorithms. But it is also a framework for researchers that want to experience with new algorithms and solvers, by providing a highly extensible framework. In this work, the first one in a series of articles about FEMPAR, we provide a detailed introduction to the software abstractions used in the discretization module and the related geometrical module. We also provide some ingredients about the assembly of linear systems arising from finite element discretizations, but the software design of complex scalable multilevel solvers is postponed to a subsequent work.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 30%
Student > Ph. D. Student 14 23%
Student > Bachelor 4 7%
Lecturer 3 5%
Student > Doctoral Student 3 5%
Other 10 17%
Unknown 8 13%
Readers by discipline Count As %
Engineering 18 30%
Computer Science 11 18%
Mathematics 6 10%
Earth and Planetary Sciences 2 3%
Physics and Astronomy 2 3%
Other 7 12%
Unknown 14 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 April 2018.
All research outputs
#20,480,611
of 23,041,514 outputs
Outputs from Archives of Computational Methods in Engineering
#148
of 170 outputs
Outputs of similar age
#283,259
of 324,750 outputs
Outputs of similar age from Archives of Computational Methods in Engineering
#1
of 1 outputs
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