Implementing micro High Performance Computing (μHPC) artifact: Affordable HPC Facilities for Academia

被引:0
|
作者
Mwasaga, Nkundwe Moses [1 ]
Joy, Mike [2 ]
机构
[1] Univ Eastern Finland, Sch Comp, Joensuu, Finland
[2] Univ Warwick, Comp Sci, Coventry, W Midlands, England
关键词
micro HPC; Beowulf cluster; constructivism; parallel computation; High Performance Computation; scalability; credit card-sized PC; TECHNOLOGY; ACCEPTANCE;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This Research to Practice Full Paper presents the experience of implementing micro HPC (mu HPC) clusters in the education context. In developing countries, access to and experience of High Performance Computing (HPC) facilities (which are important for the economic development of those countries) has presented challenges to academic institutions due to prohibitive costs of acquisition and maintenance of HPC systems. These challenges affect the delivery of courses, which include HPC and parallel computation in their syllabi. However, due to advancements in integrated circuit technologies, creditcard-sized personal computers (PCs) have emerged with the capabilities of a fully-fledged PC. These credit-card-sized PCs offer an opportunity for system integrators to build micro HPC (mu HPC) clusters which, apart from their efficiency, scalability and availability, have a number of attributes which are not shared with conventional data-center based HPC clusters These include their low power consumption, portability, diskless nodes, cost-effectiveness and excellent price to performance ratios. mu HPC clusters are, therefore, ideally suited to support curricula in all educational disciplines that demand parallel computation. The purpose of this study is to investigate the implementation of mu HPC to find out from students how ease of use of a mu HPC system is to acquire skills and knowledge of HPC. We used focus groups and surveys to gather data in the framework of the design science research paradigm. The implementation of mu HPC clusters involved a demonstration of the system in the problem context that provided valuable lessons. The results indicate that mu HPC is the ease of use HPC artifact for learning about management, integration, deployment, installation, downloading, and running of parallel programs.
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页数:9
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