scholarly journals Using High Performance Computing and Open Source Technologies for Solving Behaviour Analytics Problems in E-Learning

2015 ◽  
Vol 4 ◽  
pp. 529
Author(s):  
Laimonis Zacs ◽  
Anita Jansone
Keyword(s):  
Open Source ◽  
High Performance Computing ◽  
High Performance ◽  
Management Systems ◽  
Course Management Systems ◽  
Apache Hadoop ◽  
Industry Standard ◽  
E Learning ◽  
Technological Opportunities ◽  
Performance Computing

<p><em>In this paper the authors describe solution for solving various analytical problems in <em>E-learning, Course Management Systems like Moodle by using HPC</em></em> <em>(High Performance Computing) and Apache Hadoop open source technologies in Liepaja University. The problem is that nowadays there are collecting huge amounts of analytics data from several gigabytes to petabytes, which is hard to store, process, analyse and visualize. This article reflects one of the solutions concerning distributed parallel processing of huge amounts of data across inexpensive, industry-standard servers that can store and process the data, can scale without limits and provides technological opportunities of reliable, scalable and distributed computing.</em><em> </em></p><p> </p>

scholarly journals Inspiring the Next Generation of HPC Engineers with Reconfigurable, Multi-Tenant Resources for Teaching and Research

2021 ◽  
Vol 13 (21) ◽  
pp. 11782
Author(s):  
Taha Al-Jody ◽  
Hamza Aagela ◽  
Violeta Holmes
Keyword(s):  
Open Source ◽  
High Performance Computing ◽  
Systems Engineering ◽  
High Performance ◽  
Bare Metal ◽  
Next Generation ◽  
Teaching And Research ◽  
Exascale Computing ◽  
Secure Access ◽  
Performance Computing

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.

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