Difference between revisions of "OpenFOAM"
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| − | + | {{software info | |
| − | + | |description=a free, open source CFD software package by OpenCFD Ltd | |
| − | The | + | |research areas=Computational fluid dynamics |
| + | |resources=kappa, matter | ||
| + | |quiet=true | ||
| + | }} | ||
| + | The {{PAGENAME}} (Open Field Operation and Manipulation) CFD Toolbox is {{#show: {{PAGENAME}} |?description}}. It has a large user base across most areas of engineering and science, from both commercial and academic organisations. OpenFOAM has an extensive range of features to solve anything from complex fluid flows involving chemical reactions, turbulence and heat transfer, to solid dynamics and electromagnetics. | ||
OpenFOAM is supplied with numerous pre-configured solvers, utilities and libraries and so can be used like any typical simulation package. However, it is open, not only in terms of source code, but also in its structure and hierarchical design, so that its solvers, utilities and libraries are fully extensible. | OpenFOAM is supplied with numerous pre-configured solvers, utilities and libraries and so can be used like any typical simulation package. However, it is open, not only in terms of source code, but also in its structure and hierarchical design, so that its solvers, utilities and libraries are fully extensible. | ||
OpenFOAM uses finite volume numerics to solve systems of partial differential equations ascribed on any 3D unstructured mesh of polyhedral cells. The fluid flow solvers are developed within a robust, implicit, pressure-velocity, iterative solution framework, although alternative techniques are applied to other continuum mechanics solvers. Domain decomposition parallelism is fundamental to the design of OpenFOAM and integrated at a low level so that solvers can generally be developed without the need for any ’parallel-specific’ coding. | OpenFOAM uses finite volume numerics to solve systems of partial differential equations ascribed on any 3D unstructured mesh of polyhedral cells. The fluid flow solvers are developed within a robust, implicit, pressure-velocity, iterative solution framework, although alternative techniques are applied to other continuum mechanics solvers. Domain decomposition parallelism is fundamental to the design of OpenFOAM and integrated at a low level so that solvers can generally be developed without the need for any ’parallel-specific’ coding. | ||
| + | == Experts == | ||
| + | {{list experts}} | ||
| + | |||
| + | == Availability == | ||
| + | {{list resources for software}} | ||
== Links == | == Links == | ||
| − | + | * [http://www.openfoam.com/ OpenFOAM homepage] | |
| + | * [http://www.openfoam.com/docs/user/ User guide] | ||
| + | * [http://foam.sourceforge.net/docs/Guides-a4/UserGuide.pdf User guide] (.pdf) | ||
Revision as of 09:50, 6 July 2011
The OpenFOAM (Open Field Operation and Manipulation) CFD Toolbox is free, open source CFD software package by OpenCFD Ltd. It has a large user base across most areas of engineering and science, from both commercial and academic organisations. OpenFOAM has an extensive range of features to solve anything from complex fluid flows involving chemical reactions, turbulence and heat transfer, to solid dynamics and electromagnetics. OpenFOAM is supplied with numerous pre-configured solvers, utilities and libraries and so can be used like any typical simulation package. However, it is open, not only in terms of source code, but also in its structure and hierarchical design, so that its solvers, utilities and libraries are fully extensible. OpenFOAM uses finite volume numerics to solve systems of partial differential equations ascribed on any 3D unstructured mesh of polyhedral cells. The fluid flow solvers are developed within a robust, implicit, pressure-velocity, iterative solution framework, although alternative techniques are applied to other continuum mechanics solvers. Domain decomposition parallelism is fundamental to the design of OpenFOAM and integrated at a low level so that solvers can generally be developed without the need for any ’parallel-specific’ coding.
Experts
No experts have currently registered expertise on this specific subject. List of registered field experts:
| Field | AE FTE | General activities | ||
|---|---|---|---|---|
| Anders Hast (UPPMAX) | UPPMAX | Visualisation, Digital Humanities | 30 | Software and usability for projects in digital humanities |
| Anders Sjölander (UPPMAX) | UPPMAX | Bioinformatics | 100 | Bioinformatics support and training, job efficiency monitoring, project management |
| Anders Sjöström (LUNARC) | LUNARC | GPU computing MATLAB General programming Technical acoustics | 50 | Helps users with MATLAB, General programming, Image processing, Usage of clusters |
| Birgitte Brydsö (HPC2N) | HPC2N | Parallel programming HPC | Training, general support | |
| Björn Claremar (UPPMAX) | UPPMAX | Meteorology, Geoscience | 100 | Support for geosciences, Matlab |
| Björn Viklund (UPPMAX) | UPPMAX | Bioinformatics Containers | 100 | Bioinformatics, containers, software installs at UPPMAX |
| Chandan Basu (NSC) | NSC | Computational science | 100 | EU projects IS-ENES and PRACE. Working on climate and weather codes |
| Diana Iusan (UPPMAX) | UPPMAX | Computational materials science Performance tuning | 50 | Compilation, performance optimization, and best practice usage of electronic structure codes. |
| Frank Bramkamp (NSC) | NSC | Computational fluid dynamics | 100 | Installation and support of computational fluid dynamics software. |
| Hamish Struthers (NSC) | NSC | Climate research | 80 | Users support focused on weather and climate codes. |
| Henric Zazzi (PDC) | PDC | Bioinformatics | 100 | Bioinformatics Application support |
| Jens Larsson (NSC) | NSC | Swestore | ||
| Jerry Eriksson (HPC2N) | HPC2N | Parallel programming HPC | HPC, Parallel programming | |
| Joachim Hein (LUNARC) | LUNARC | Parallel programming Performance optimisation | 85 | HPC training Parallel programming support Performance optimisation |
| Johan Hellsvik | PDC | Materialvetenskap | 30 | materials theory, modeling of organic magnetic materials, |
| Johan Raber (NSC) | NSC | Computational chemistry | 50 | |
| Jonas Lindemann (LUNARC) | LUNARC | Grid computing Desktop environments | 20 | Coordinating SNIC Emerging Technologies Developer of ARC Job Submission Tool Grid user documentation Leading the development of ARC Storage UI Lunarc Box Lunarc HPC Desktop |
| Krishnaveni Chitrapu (NSC) | NSC | Software development | ||
| Lars Eklund (UPPMAX) | UPPMAX | Chemistry Data management FAIR Sensitive data | 100 | Chemistry codes, databases at UPPMAX, sensitive data, PUBA agreements |
| Lars Viklund (HPC2N) | HPC2N | General programming HPC | HPC, General programming, installation of software, support, containers | |
| Lilit Axner (PDC) | PDC | Computational fluid dynamics | 50 | |
| Marcus Lundberg (UPPMAX) | UPPMAX | Computational science Parallel programming Performance tuning Sensitive data | 100 | I help users with productivity, program performance, and parallelisation. I also work with allocations and with sensitive data questions |
| Martin Dahlö (UPPMAX) | UPPMAX | Bioinformatics | 10 | Bioinformatic support |
| Matias Piqueras (UPPMAX) | UPPMAX | Humanities, Social sciences | 70 | Support for humanities and social sciences, machine learning |
| Mikael Djurfeldt (PDC) | PDC | Neuroinformatics | 100 | |
| Mirko Myllykoski (HPC2N) | HPC2N | Parallel programming GPU computing | Parallel programming, HPC, GPU programming, advanced support | |
| Pavlin Mitev (UPPMAX) | UPPMAX | Computational materials science | 100 | |
| Pedro Ojeda-May (HPC2N) | HPC2N | Molecular dynamics Machine learning Quantum Chemistry | Training, HPC, Quantum Chemistry, Molecular dynamics, R, advanced support | |
| Peter Kjellström (NSC) | NSC | Computational science | 100 | All types of HPC Support. |
| Peter Münger (NSC) | NSC | Computational science | 60 | Installation and support of MATLAB, Comsol, and Julia. |
| Rickard Armiento (NSC) | NSC | Computational materials science | 40 | Maintainer of the scientific software environment at NSC. |
| Szilard Pall | PDC | Molecular dynamics | 55 | Algorithms & methods for accelerating molecular dynamics, Parallelization and acceleration of molecular dynamics on modern high performance computing architectures, High performance computing, manycore and heterogeneous architectures, GPU computing |
| Thomas Svedberg (C3SE) | C3SE | Solid mechanics | ||
| Torben Rasmussen (NSC) | NSC | Computational chemistry | 100 | Installation and support of computational chemistry software. |
| Wei Zhang (NSC) | NSC | Computational science Parallel programming Performance optimisation | code optimization, parallelization. | |
| Weine Olovsson (NSC) | NSC | Computational materials science | 90 | Application support, installation and help |
| Åke Sandgren (HPC2N) | HPC2N | Computational science | 50 | SGUSI |
Availability
| Resource | Centre | Description |
|---|---|---|
| Abisko | HPC2N | capability resource of 153 TFLOPS with full bisectional infiniband interconnect |
| Akka | HPC2N | capability cluster resource of 54 TFLOPS with infiniband interconnect |
| Alarik | LUNARC | throughput cluster resource of 40 TFLOPS |
| Aurora | LUNARC | throughput/general purpose cluster resource |
| Beda | C3SE | throughput cluster resource |
| Glenn | C3SE | throughput cluster resource |
| Lindgren | PDC | Cray XE6 capability cluster with 305 TFLOPS peak performance |
| Platon | LUNARC | throughput cluster resource of 26 TFLOPS |
