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

Abstract

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.

Multi-source Intelligent Management System of College Snow and Ice Teaching Based on Cloud Platform

“…As a new service mode, cloud computing can be divided into three categories according to the construction site of cloud computing platform, protocol type of cloud service and cloud service object, namely, public cloud, private cloud and hybrid cloud [16,17]. For multi-source resources of snow and ice teaching in colleges and universities, the basis of network teaching is hardware, software and network teaching resources [18]. According to the principle of cloud computing, after obtaining the current alternative measurement, it is necessary to search the database to prepare the data required for subsequent processing, that is, to find out the information of the target measurement in the previous sampling period.…”