Inspiring the Next Generation of HPC Engineers with Reconfigurable, Multi-Tenant Resources for Teaching and Research
There is a tradition at our university for teaching and research in High Performance Computing (HPC) systems engineering. With exascale computing on the horizon and a shortage of HPC talent, there is a need for new specialists to secure the future of research computing. Whilst many institutions prov...
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MDPI AG
2021
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oai:doaj.org-article:035cab4763d3476fb7045f568ce125812021-11-11T19:29:41ZInspiring the Next Generation of HPC Engineers with Reconfigurable, Multi-Tenant Resources for Teaching and Research10.3390/su1321117822071-1050https://doaj.org/article/035cab4763d3476fb7045f568ce125812021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11782https://doaj.org/toc/2071-1050There is a tradition at our university for teaching and research in High Performance Computing (HPC) systems engineering. With exascale computing on the horizon and a shortage of HPC talent, there is a need for new specialists to secure the future of research computing. Whilst many institutions provide research computing training for users within their particular domain, few offer HPC engineering and infrastructure-related courses, making it difficult for students to acquire these skills. This paper outlines how and why we are training students in HPC systems engineering, including the technologies used in delivering this goal. We demonstrate the potential for a multi-tenant HPC system for education and research, using novel container and cloud-based architecture. This work is supported by our previously published work that uses the latest open-source technologies to create sustainable, fast and flexible turn-key HPC environments with secure access via an HPC portal. The proposed multi-tenant HPC resources can be deployed on a “bare metal” infrastructure or in the cloud. An evaluation of our activities over the last five years is given in terms of recruitment metrics, skills audit feedback from students, and research outputs enabled by the multi-tenant usage of the resource.Taha Al-JodyHamza AagelaVioleta HolmesMDPI AGarticleHPC course structureHPC cluster and cloud resources for teachingadvanced HPC teaching materialssustainable educationEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11782, p 11782 (2021) |
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HPC course structure HPC cluster and cloud resources for teaching advanced HPC teaching materials sustainable education Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 |
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HPC course structure HPC cluster and cloud resources for teaching advanced HPC teaching materials sustainable education Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Taha Al-Jody Hamza Aagela Violeta Holmes Inspiring the Next Generation of HPC Engineers with Reconfigurable, Multi-Tenant Resources for Teaching and Research |
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There is a tradition at our university for teaching and research in High Performance Computing (HPC) systems engineering. With exascale computing on the horizon and a shortage of HPC talent, there is a need for new specialists to secure the future of research computing. Whilst many institutions provide research computing training for users within their particular domain, few offer HPC engineering and infrastructure-related courses, making it difficult for students to acquire these skills. This paper outlines how and why we are training students in HPC systems engineering, including the technologies used in delivering this goal. We demonstrate the potential for a multi-tenant HPC system for education and research, using novel container and cloud-based architecture. This work is supported by our previously published work that uses the latest open-source technologies to create sustainable, fast and flexible turn-key HPC environments with secure access via an HPC portal. The proposed multi-tenant HPC resources can be deployed on a “bare metal” infrastructure or in the cloud. An evaluation of our activities over the last five years is given in terms of recruitment metrics, skills audit feedback from students, and research outputs enabled by the multi-tenant usage of the resource. |
format |
article |
author |
Taha Al-Jody Hamza Aagela Violeta Holmes |
author_facet |
Taha Al-Jody Hamza Aagela Violeta Holmes |
author_sort |
Taha Al-Jody |
title |
Inspiring the Next Generation of HPC Engineers with Reconfigurable, Multi-Tenant Resources for Teaching and Research |
title_short |
Inspiring the Next Generation of HPC Engineers with Reconfigurable, Multi-Tenant Resources for Teaching and Research |
title_full |
Inspiring the Next Generation of HPC Engineers with Reconfigurable, Multi-Tenant Resources for Teaching and Research |
title_fullStr |
Inspiring the Next Generation of HPC Engineers with Reconfigurable, Multi-Tenant Resources for Teaching and Research |
title_full_unstemmed |
Inspiring the Next Generation of HPC Engineers with Reconfigurable, Multi-Tenant Resources for Teaching and Research |
title_sort |
inspiring the next generation of hpc engineers with reconfigurable, multi-tenant resources for teaching and research |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/035cab4763d3476fb7045f568ce12581 |
work_keys_str_mv |
AT tahaaljody inspiringthenextgenerationofhpcengineerswithreconfigurablemultitenantresourcesforteachingandresearch AT hamzaaagela inspiringthenextgenerationofhpcengineerswithreconfigurablemultitenantresourcesforteachingandresearch AT violetaholmes inspiringthenextgenerationofhpcengineerswithreconfigurablemultitenantresourcesforteachingandresearch |
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