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Claim

Software used in 'Code generation for generally mapped finite elements'

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 16 Aug 2018Publisher:ZenodoFunded by:NSF | Small: Collaborative Rese...
Authors: Firedrake-Zenodo;

doi: 10.5281/zenodo.1346229 , 10.5281/zenodo.3381901 , 10.5281/zenodo.1346230 , 10.5281/zenodo.3234784 , 10.5281/zenodo.3381900

Software used in 'Code generation for generally mapped finite elements'

Abstract

This record collates DOIs for the software components used in 'Code generation for generally mapped finite elements'. The Firedrake components and dependencies used were: COFFEE (A Compiler for Fast Expression Evaluation): 10.5281/zenodo.1926730 FInAT (a smarter library of finite elements): 10.5281/zenodo.3234718 fiat (The Finite Element Automated Tabulator): 10.5281/zenodo.3234724 firedrake (an automated finite element system): 10.5281/zenodo.3234720 loopy (Transformation-Based Generation of High-Performance CPU/GPU Code): 10.5281/zenodo.3234746 petsc (Portable, Extensible Toolkit for Scientific Computation): 10.5281/zenodo.3234750 petsc4py (The Python interface to PETSc): 10.5281/zenodo.2648602 slepc (Scalable Library for Eigenvalue Problem Computations): 10.5281/zenodo.3234719 slepc4py (The Python interface to SLEPc): 10.5281/zenodo.3234715 tsfc (The Two Stage Form Compiler): 10.5281/zenodo.3234716 ufl (The Unified Form Language): 10.5281/zenodo.3234725 PyOP2 (Framework for performance-portable parallel computations on unstructured meshes): 10.5281/zenodo.3234723 You can install Firedrake using exactly this set of component versions using: export PETSC_CONFIGURE_OPTIONS="--download-pastix --download-ptscotch" python3 firedrake-install --slepc --doi 10.5281/zenodo.3234784 See firedrakeproject.org/download.html for more information.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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