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Leveraging teaching on demand: Approaching HPC to undergrads

利用在需求上教: 来临的 HPC 到 undergrads

作     者:Catalan, Sandra Carratala-Saez, Rocio Iserte, Sergio 

作者机构:Univ Complutense Madrid UCM Madrid Spain Univ Jaume I UJI Castellon de La Plana Spain 

出 版 物:《JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING》 (并行与分布式计算杂志)

年 卷 期:2021年第156卷

页      面:148-162页

核心收录:

学科分类:08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:MICINN under the project Heterogeneidad y Especializacion en la Era PostMoore [RTI2018-093684-B-I0] MINECO [CICYT TIN2017-82972-R, CICYT TIN2014-53495-R] FEDER [UJI-B2017-46] Valencian Region Government GVA ESF [APOSTD/2020/026] UJI MECD [FPU15/03043] High Performance Computing and Architectures Research Group (HPCA) Computer Science Department (DICC) from UJI 

主  题:Computational cluster Undergrad teaching System administration Parallel and distributed computing Raspberry Pi 

摘      要:High Performance Computing (HPC) is a highly demanded discipline in companies and institutions. However, as students and also afterwards as professors, we observed a lack of HPC related content in the engineering degrees at our university, including Computer Science. Thus, we designed and offered the engineering students a non-mandatory course entitled Build your owncluster employing Raspberry Pi to provide the students with HPC skills. With this course, we covered the basics of supercomputing (hardware, networking, software tools, performance evaluation, cluster management, etc.). This was possible thanks to leveraging the flexibility and versatility of Raspberry Pi devices, and the students motivation that arose from the hands-on experience. Moreover, the course included a Teaching on demand component to let the attendees choose a field to explore, based on their own interests. In this paper, we offer all the details to let anyone fully reproduce the course. Besides, we analyze and evaluate the methodology that let us fulfill our objectives: increase the students HPC skills and knowledge in such a way that they feel capable of utilizing it in their mid-term professional career. (c) 2021 Elsevier Inc. All rights reserved.

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