Abstract
We describe a toolchain that provides a fully automated compilation pathway from a finite element domain-specific language to low-level code for multicore and GPGPU platforms. We demonstrate that the generated code exceeds the performance of the best available alternatives, without requiring manual tuning or modification of the generated code. The toolchain can easily be integrated with existing finite element solvers, providing a means to add performance portable methods without having to rebuild an entire complex implementation from scratch. © 2013 Springer-Verlag.
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CITATION STYLE
Markall, G. R., Rathgeber, F., Mitchell, L., Loriant, N., Bertolli, C., Ham, D. A., & Kelly, P. H. J. (2013). Performance-portable finite element assembly using PyOP2 and FEniCS. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7905 LNCS, pp. 279–289). https://doi.org/10.1007/978-3-642-38750-0_21
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