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| Main Authors: | , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2307.11752 |
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| _version_ | 1866911981080936448 |
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| author | Kummerländer, Adrian Avis, Samuel J. Kusumaatmaja, Halim Bukreev, Fedor Crocoll, Michael Dapelo, Davide Großmann, Simon Hafen, Nicolas Ito, Shota Jeßberger, Julius Kummer, Eliane Marquardt, Jan E. Mödl, Johanna Pertzel, Tim Prinz, František Raichle, Florian Sadric, Martin Schecher, Maximilian Teutscher, Dennis Simonis, Stephan Krause, Mathias J. |
| author_facet | Kummerländer, Adrian Avis, Samuel J. Kusumaatmaja, Halim Bukreev, Fedor Crocoll, Michael Dapelo, Davide Großmann, Simon Hafen, Nicolas Ito, Shota Jeßberger, Julius Kummer, Eliane Marquardt, Jan E. Mödl, Johanna Pertzel, Tim Prinz, František Raichle, Florian Sadric, Martin Schecher, Maximilian Teutscher, Dennis Simonis, Stephan Krause, Mathias J. |
| contents | OpenLB is an object-oriented implementation of LBM. It is the first implementation of a generic platform for LBM programming, which is shared with the open source community (GPLv2). Since the first release in 2007, the code has been continuously improved and extended which is documented by thirteen releases as well as the corresponding release notes which are available on the OpenLB website (https://www.openlb.net). The OpenLB code is written in C++ and is used by application programmers as well as developers, with the ability to implement custom models OpenLB supports complex data structures that allow simulations in complex geometries and parallel execution using MPI, OpenMP and CUDA on high-performance computers. The source code uses the concepts of interfaces and templates, so that efficient, direct and intuitive implementations of the LBM become possible. The efficiency and scalability has been checked and proved by code reviews. This user manual and a source code documentation by DoxyGen are available on the OpenLB project website. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2307_11752 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | OpenLB User Guide: Associated with Release 1.6 of the Code Kummerländer, Adrian Avis, Samuel J. Kusumaatmaja, Halim Bukreev, Fedor Crocoll, Michael Dapelo, Davide Großmann, Simon Hafen, Nicolas Ito, Shota Jeßberger, Julius Kummer, Eliane Marquardt, Jan E. Mödl, Johanna Pertzel, Tim Prinz, František Raichle, Florian Sadric, Martin Schecher, Maximilian Teutscher, Dennis Simonis, Stephan Krause, Mathias J. Mathematical Software Distributed, Parallel, and Cluster Computing Numerical Analysis 97N80, 74S30, 76M25, 80M25, 82C80, G.4 OpenLB is an object-oriented implementation of LBM. It is the first implementation of a generic platform for LBM programming, which is shared with the open source community (GPLv2). Since the first release in 2007, the code has been continuously improved and extended which is documented by thirteen releases as well as the corresponding release notes which are available on the OpenLB website (https://www.openlb.net). The OpenLB code is written in C++ and is used by application programmers as well as developers, with the ability to implement custom models OpenLB supports complex data structures that allow simulations in complex geometries and parallel execution using MPI, OpenMP and CUDA on high-performance computers. The source code uses the concepts of interfaces and templates, so that efficient, direct and intuitive implementations of the LBM become possible. The efficiency and scalability has been checked and proved by code reviews. This user manual and a source code documentation by DoxyGen are available on the OpenLB project website. |
| title | OpenLB User Guide: Associated with Release 1.6 of the Code |
| topic | Mathematical Software Distributed, Parallel, and Cluster Computing Numerical Analysis 97N80, 74S30, 76M25, 80M25, 82C80, G.4 |
| url | https://arxiv.org/abs/2307.11752 |