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Computer Physics Communications
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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A comparison of the shared-memory parallel programming models OpenMP, OpenACC and Kokkos in the context of implicit solvers for high-order FEM

Authors: Eichstädt, J; Vymazal, M; Moxey, D; Peiró, J;

A comparison of the shared-memory parallel programming models OpenMP, OpenACC and Kokkos in the context of implicit solvers for high-order FEM

Abstract

Abstract We consider the application of three performance-portable programming models in the context of a high-order spectral element, implicit time-stepping solver for the Navier–Stokes equations. We aim to evaluate whether the use of these models allows code developers to deliver high-performance solvers for computational fluid dynamics simulations that are capable of effectively utilising both many-core CPU and GPU architectures. Using the core elliptic solver for the Navier–Stokes equations as a benchmarking guide, we evaluate the performance of these models on a range of unstructured meshes and give guidelines for the translation of existing codebases and their data structures to these models.

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Keywords

Technology, Shared-memory parallel programming models, Interdisciplinary Applications, Helmholtz equation, 01 Mathematical Sciences, FEM, Science & Technology, 02 Physical Sciences, 000, Mathematical, Physics, OpenMP, BENCHMARK, PERFORMANCE, FRAMEWORK, Nuclear & Particles Physics, 004, Physics, Mathematical, Kokkos, OpenACC, Physical Sciences, Computer Science, Computer Science, Interdisciplinary Applications, 08 Information and Computing Sciences

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Top 10%
Top 10%
Green