Difference between revisions of "Edge"
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− | + | {{software info | |
− | + | |description=an unstructured CFD solver | |
− | + | |research areas=Computational fluid dynamics | |
+ | |resources=kappa, matter | ||
+ | |quiet=true | ||
+ | }} | ||
+ | {{PAGENAME}} is {{#show: {{PAGENAME}} |?description}} developed at the Swedish Defence Research Agency (Totalförsvarets forskningsinstitut) (FOI) since 1997. The code is fully RANS capable, and features several turbulence models from algebraic to state-of-the-art two-equation models. Furthermore the code also includes LES and DES models and the ability to run in "Euler" and laminar mode. Time-accurate and aeroelastic simulations are also possible. | ||
The Edge flow solver is based on a node-centered finite volume scheme. For steady flows, the equations are integrated towards steady state with an explicit multi-stage Runge-Kutta scheme. To accelerate convergence, residual smoothing and a multi-grid technique can be employed. Low Mach-number preconditioning is also available. Time-accurate computations are implemented using dual time-stepping: implicit time marching with explicit sub-iterations. | The Edge flow solver is based on a node-centered finite volume scheme. For steady flows, the equations are integrated towards steady state with an explicit multi-stage Runge-Kutta scheme. To accelerate convergence, residual smoothing and a multi-grid technique can be employed. Low Mach-number preconditioning is also available. Time-accurate computations are implemented using dual time-stepping: implicit time marching with explicit sub-iterations. | ||
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The copyright holder is FOI. All rights to Edge are reserved by FOI. An idividual user-based written agreement with FOI is required to get access to the code. Edge or parts of Edge may not be sold, distributed or in any other way made available to third parties without a written permission from FOI. | The copyright holder is FOI. All rights to Edge are reserved by FOI. An idividual user-based written agreement with FOI is required to get access to the code. Edge or parts of Edge may not be sold, distributed or in any other way made available to third parties without a written permission from FOI. | ||
− | + | == Experts == | |
+ | {{list experts}} | ||
− | + | == Availability == | |
+ | {{list resources for software}} | ||
+ | |||
+ | == Links == | ||
+ | * [http://www.foi.se/edge Edge homepage] | ||
+ | * [http://www.foi.se/upload/projects/edge/documentation-latest/edge-user.pdf User manual] |
Revision as of 09:13, 6 July 2011
Edge is unstructured CFD solver developed at the Swedish Defence Research Agency (Totalförsvarets forskningsinstitut) (FOI) since 1997. The code is fully RANS capable, and features several turbulence models from algebraic to state-of-the-art two-equation models. Furthermore the code also includes LES and DES models and the ability to run in "Euler" and laminar mode. Time-accurate and aeroelastic simulations are also possible.
The Edge flow solver is based on a node-centered finite volume scheme. For steady flows, the equations are integrated towards steady state with an explicit multi-stage Runge-Kutta scheme. To accelerate convergence, residual smoothing and a multi-grid technique can be employed. Low Mach-number preconditioning is also available. Time-accurate computations are implemented using dual time-stepping: implicit time marching with explicit sub-iterations.
The copyright holder is FOI. All rights to Edge are reserved by FOI. An idividual user-based written agreement with FOI is required to get access to the code. Edge or parts of Edge may not be sold, distributed or in any other way made available to third parties without a written permission from FOI.
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 |
---|---|---|
Akka | HPC2N | capability cluster resource of 54 TFLOPS with infiniband interconnect |
Beda | C3SE | throughput cluster resource |
Glenn | C3SE | throughput cluster resource |
Kappa | NSC | throughput cluster resource of 26 TFLOPS |
Lindgren | PDC | Cray XE6 capability cluster with 305 TFLOPS peak performance |
Matter | NSC | cluster resource of 37 TFLOPS dedicated to materials science |