Leveraging teaching on demand: Approaching HPC to undergrads
comunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7035
comunitat-uji-handle3:10234/8617
comunitat-uji-handle4:
INVESTIGACIONMetadatos
Título
Leveraging teaching on demand: Approaching HPC to undergradsFecha de publicación
2021-06-16Editor
Elsevier; Academic PressCita bibliográfica
Catalán, S., Carratalá-Sáez, R., & Iserte, S. (2021). Leveraging teaching on demand: Approaching HPC to undergrads. Journal of Parallel and Distributed Computing, 156, 148-162.Tipo de documento
info:eu-repo/semantics/articleVersión
info:eu-repo/semantics/acceptedVersionPalabras clave / Materias
Resumen
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 ... [+]
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 own cluster 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. [-]
Publicado en
Journal of Parallel and Distributed Computing. Volume 156, October 2021, Pages 148-162Entidad financiadora
Ministerio de Ciencia e Innovación of Spain (MICINN) | Ministerio de Defensa de España | Ministerio de Economía y Empresa | Fondo Europeo de Desarrollo Regional (FEDER) | Universitat Jaume I | Ministerio de Educación, Cultura y Deporte | Generalitat Valenciana
Código del proyecto o subvención
RTI2018-093684-B-I0 | TIN2014-53495-R | CICYT TIN2017- 82972-R | UJI-B2017-46 | FPU15/03043 | APOSTD/2020/026
Título del proyecto o subvención
Heterogeneidad y Especialización en la Era Post- Moore
Derechos de acceso
0743-7315/© 2021 Elsevier Inc. All rights reserved.
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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