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dc.contributor.authorAnderson, Robert
dc.contributor.authorAndrej, Julian
dc.contributor.authorBarker, Andrew
dc.contributor.authorBramwell, Jamie
dc.contributor.authorCamier, Jean Sylvain
dc.contributor.authorCerveny, Jakub
dc.contributor.authorDobrev, Veselin
dc.contributor.authorDudouit, Yohann
dc.contributor.authorFisher, Aaron
dc.contributor.authorKolev, Tzanio
dc.contributor.authorPazner, Will
dc.contributor.authorStowell, Mark
dc.contributor.authorTomov, Vladimir
dc.contributor.authorAkkerman, Ido
dc.contributor.authorDahm, Johann
dc.contributor.authorMedina, David
dc.contributor.authorZampini, Stefano
dc.date.accessioned2020-07-21T11:20:58Z
dc.date.available2020-07-21T11:20:58Z
dc.date.issued2020-07-11
dc.date.submitted2020-05-15
dc.identifier.citationAnderson, R., Andrej, J., Barker, A., Bramwell, J., Camier, J.-S., Cerveny, J., … Zampini, S. (2020). MFEM: A modular finite element methods library. Computers & Mathematics with Applications. doi:10.1016/j.camwa.2020.06.009
dc.identifier.issn0898-1221
dc.identifier.doi10.1016/j.camwa.2020.06.009
dc.identifier.urihttp://hdl.handle.net/10754/664331
dc.description.abstractMFEM is an open-source, lightweight, flexible and scalable C++ library for modular finite element methods that features arbitrary high-order finite element meshes and spaces, support for a wide variety of discretization approaches and emphasis on usability, portability, and high-performance computing efficiency. MFEM's goal is to provide application scientists with access to cutting-edge algorithms for high-order finite element meshing, discretizations and linear solvers, while enabling researchers to quickly and easily develop and test new algorithms in very general, fully unstructured, high-order, parallel and GPU-accelerated settings. In this paper we describe the underlying algorithms and finite element abstractions provided by MFEM, discuss the software implementation, and illustrate various applications of the library.
dc.description.sponsorshipThis work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344, LLNL-JRNL-795849.The MFEM project would not have been possible without the help and advice of Joachim Schöberl, Panayot Vassilevski, and all the contributors in the MFEM open-source community, see https://mfem.org/about and https://github.com/orgs/mfem/people. MFEM has been supported by a number of U.S. Department of Energy (DOE) grants, including the Applied Math and SciDAC programs in the DOE Office of Science, and the ASC and LDRD programs in NNSA. MFEM is also a major participant in the co-design Center for Efficient Exascale Discretizations (CEED) in the DOE's Exascale Computing Project. This document was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor Lawrence Livermore National Security, LLC, nor any of their employees makes any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States government or Lawrence Livermore National Security, LLC. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States government or Lawrence Livermore National Security, LLC, and shall not be used for advertising or product endorsement purposes.
dc.publisherElsevier BV
dc.relation.urlhttps://linkinghub.elsevier.com/retrieve/pii/S0898122120302583
dc.relation.urlhttp://arxiv.org/pdf/1911.09220
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in [JournalTitle]. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in [JournalTitle], [[Volume], [Issue], (2020-07-11)] DOI: 10.1016/j.camwa.2020.06.009 . © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsThis file is an open access version redistributed from: http://arxiv.org/pdf/1911.09220
dc.titleMFEM: A modular finite element methods library
dc.typeArticle
dc.contributor.departmentExtreme Computing Research Center
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalComputers and Mathematics with Applications
dc.rights.embargodate2022-07-11
dc.eprint.versionPre-print
dc.contributor.institutionLawrence Livermore National Laboratory, Livermore, USA
dc.contributor.institutionDelft University of Technology, Netherlands
dc.contributor.institutionVulcan Inc., Seattle, USA
dc.contributor.institutionOccalytics LLC, New York, USA
dc.identifier.arxivid1911.09220
kaust.personZampini, Stefano
dc.date.accepted2020-06-14
dc.identifier.eid2-s2.0-85087819020
refterms.dateFOA2020-12-07T11:56:49Z
dc.date.published-online2020-07-11
dc.date.published-print2020-07


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