2012•Journal of Numerical MathematicsRequires access

High performance domain decomposition methods on massively parallel architectures with freefem++

Pierre Jolivet, Victorita Dolean, Frédéric Hecht, F. Nataf, Christophe Prud'Homme, Nicole Spillane

Open publisher page 38 citations

Abstract

- In this document, we present a parallel implementation in freefem++ of scalable two-level domain decomposition methods. Numerical studies with highly heterogeneous problems are then performed on large clusters in order to assert the performance of our code.

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What this paper is about

- In this document, we present a parallel implementation in freefem++ of scalable two-level domain decomposition methods. Numerical studies with highly heterogeneous problems are then performed on large clusters in order to assert the performance of our code.

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OpenAlex reports 38 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

- In this document, we present a parallel implementation in freefem++ of scalable two-level domain decomposition methods. Numerical studies with highly heterogeneous problems are then performed on large clusters in order to assert the performance of our code.

Key concepts: Domain decomposition methods, Massively parallel, Parallel computing, Scalability, Computer science, Computational science, Decomposition, Domain (mathematical analysis)

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