Multiscale HPC Modeling, Tutorials and examples
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Submission information
Submission Number: 19
Submission ID: 36
Submission UUID: dd867680-6705-4c7b-9008-5a832409641a
Submission URI: /form/project
Created: Tue, 09/03/2019 - 13:34
Completed: Tue, 09/03/2019 - 13:34
Changed: Thu, 04/28/2022 - 13:14
Remote IP address: 130.215.55.243
Submitted by: Northeast Cyberteam
Language: English
Is draft: No
Webform: Project
Multiscale HPC Modeling, Tutorials and examples
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Project Information
This project is designed to help prepare an interdisciplinary course in flow modelling, particularly smooth particle hydrodynamics. The project consists of creating a series of tutorial videos and sample programs for how to get started with the computational environment and the basics of flow modelling. This material will be used in an anticipated interdisciplinary course in the Fall of 2019.
Project Information Subsection
* Tutorial slides and videos on the basics of using a supercomputer.
* Tutorial slides, videos and example code demonstrating FEM.
* Tutorial slides, videos and example code demonstrating SPH.
* A combined SPH and FEM model in which parameters can be changed.
* Tutorial slides, videos and example code demonstrating FEM.
* Tutorial slides, videos and example code demonstrating SPH.
* A combined SPH and FEM model in which parameters can be changed.
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Some hands-on experience
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University of Maine
5790 Bryand Global Sciences Center
Orono, Maine. 04469-5790
Orono, Maine. 04469-5790
NE-University of Maine
03/01/2019
No
Already behind3Start date is flexible
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Links to videos will be added to the portal
It is anticipated that at least one publication will result
As part of developing the tutorials and examples the student will be learning about the topics himself. They say the best way to learn is to teach others.
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The development of tutorials for helping researchers and students get started in an areas is valuable, but not necessarily well understood. The success of these materials can serve as a springboard for similar development in other areas. Potentially these materials can be used to bring other student facilitators up to speed.
The project will use MPI and GPU computational resources as well as visualization tools.
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Final Report
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