Data transfer in partitioned multi-physics simulations : interpolation &amp; communication

Lindner, Florian

doi:10.18419/opus-10581

Cited by 4 publications

(13 citation statements)

References 6 publications

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“…Otherwise, we get consistency only up the solver accuracy of the GMRES solver. Similar arguments hold for the conservative variant which is realized by a formal transposition of the mapping matrix translated into respective solver steps 16 .…”

Section: Basis Function Supportmentioning

confidence: 83%

“…Throughout this section, we restrict our explanation to consistent data mapping. For details on both variants, the reader is referred to mapping-focused publications 14,16,50 . x on the input mesh M S 1 .…”

Section: Vmentioning

confidence: 99%

“…To establish TCP/IP-based connections, on the other hand, each pair of connected ranks exchanges a connection token via the file system. To reduce the load on the file system, a hash-based scheme is used, which distributes the connection files uniformly across different directories 6,16 .…”

Section: Communicationmentioning

confidence: 99%

“…We cannot explain all preCICE API functions and all configuration options with this single example. Please also consider the official user documentation 16 , which includes complete API and configuration references. preCICE supports adapter development by extensive sanity checks of correct API usage -a simple example: advance cannot be called before initialize.…”

Section: Help and Further Informationmentioning

confidence: 99%

“…The first version of preCICE, as presented by Bernhard Gatzhammer in his dissertation 14 , used a server process per coupled solver and was, thus, not very efficient for the coupling of parallel solvers. Later works [15][16][17] transformed preCICE to a fully parallel library with point-to-point communication, which shows good scalability on ten thousands of compute cores. A first overview paper of preCICE was published in 2016 18 , summarizing basic functionality, the API, and the user-specific configuration as well as showing example applications and validation cases.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

preCICE v2: A sustainable and user-friendly coupling library

Chourdakis¹,

Davis²,

Rodenberg³

et al. 2022

Open Res Europe

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preCICE is a free/open-source coupling library. It enables creating partitioned multi-physics simulations by gluing together separate software packages. This paper summarizes the development efforts in preCICE of the past five years. During this time span, we have turned the software from a working prototype -- sophisticated numerical coupling methods and scalability on ten thousands of compute cores -- to a sustainable and user-friendly software project with a steadily-growing community. Today, we know through forum discussions, conferences, workshops, and publications of more than 100 research groups using preCICE. We cover the fundamentals of the software alongside a performance and accuracy analysis of different data mapping methods. Afterwards, we describe ready-to-use integration with widely-used external simulation software packages, tests, and continuous integration from unit to system level, and community building measures, drawing an overview of the current preCICE ecosystem.

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Section: Basis Function Supportmentioning

confidence: 83%

Section: Vmentioning

confidence: 99%

Section: Communicationmentioning

confidence: 99%

Section: Help and Further Informationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

preCICE v2: A sustainable and user-friendly coupling library

Chourdakis¹,

Davis²,

Rodenberg³

et al. 2022

Open Res Europe

Self Cite

View full text Add to dashboard Cite

show abstract

preCICE v2: A sustainable and user-friendly coupling library

Chourdakis¹,

Davis²,

Rodenberg³

et al. 2022

Open Res Europe

Self Cite

View full text Add to dashboard Cite

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Data-Parallel Radial-Basis Function Interpolation in preCICE

Schneider,

Shrader,

Uekermann

2023

10th Edition of the International Conference on Computational Methods for Coupled Problems in Science and Engineering

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We present data-parallel approaches to solve radial-basis function interpolation problems in the context of partitioned multi-physics simulations, where interpolation methods are required to transfer coupling data between non-matching vertex clouds. Data-parallel approaches are a key component for the efficient use of accelerator cards and thus for performance portability on modern compute platforms. The presented approach is integrated into the open-source coupling library preCICE.After discussing different implementation strategies, we introduce a solution based on the linear algebra library Ginkgo, which provides a common abstraction layer for cross-platform performance with focus on solving sparse linear systems. The new implementation exploits accelerator cards for both, matrix assembly as well as solving the resulting linear system. The capability of the presented approach is compared to already existing implementations in preCICE using a turbine blade geometry.

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Data transfer in partitioned multi-physics simulations : interpolation & communication

Cited by 4 publications

References 6 publications

preCICE v2: A sustainable and user-friendly coupling library

preCICE v2: A sustainable and user-friendly coupling library

preCICE v2: A sustainable and user-friendly coupling library

Data-Parallel Radial-Basis Function Interpolation in preCICE

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