Dear Marc, 1. Unfortunately our cloud resource for using the Jupyter notebooks is down at the moment, which would normally have these files available with the notebook. However, you can get hold of the files by cloning the repository: https://gitlab.nektar.info/nektar/jupyter-tutorials. 2. There are clearly many aspects that can affect the answer to this question. In general, high-order methods have numerical properties which lead to faster convergence with increasing polynomial order, compared with mesh-refinement in low-order methods, assuming your solution is sufficiently smooth. They also tend to have some nice computational properties in terms of their compact structure and arithmetic intensity making better use of modern hardware than low-order methods. However, sometimes you need to play with the settings to get the best performance, so if you do seem to be struggling to get good performance do reach out on the mailing list and we can try and help. 3. The tutorials are probably the best place to get started: https://www.nektar.info/getting-started/tutorials/. Once you are comfortable with the input format and various configuration options maybe trying to reproduce well-established flows is a next step to build confidence. There are numerous examples in the form of tests, which you can find in the "Tests" sub-directory of each solver. Kind regards, Chris On 29/06/2022 16:45, Marc wrote:
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Hi everyone,
I came across Nektar++ and was very interested in it. As very new to it, I have tons of questions about Nektar++ of which I concerned the most:
1. The tutorials using Jupyter notebook on the website seem in completed. The mesh files and .xml configuration file are not available in most cases. Any suggestions how to fetch them somewhere else? 2. I basically play with Incompressible NS flow. Compared with finite volume method, e.g., OPENFOAM and ANSYS FLUENT, how is the efficiency of Nektar++? 3. Any suggestions how to begin with Nektar++?
Marc
Ph.D. student
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-- Chris Cantwell Senior Lecturer in Aeronautics Department of Aeronautics Imperial College London South Kensington Campus London SW7 2AZ Tel: +44 (0)20 759 45050 Email: c.cantwell@imperial.ac.uk www.imperial.ac.uk/people/c.cantwell