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dc.contributor.author | Reaño González, Carlos | es_ES |
dc.contributor.author | Silla Jiménez, Federico | es_ES |
dc.date.accessioned | 2016-09-21T12:09:28Z | |
dc.date.available | 2016-09-21T12:09:28Z | |
dc.date.issued | 2015-03 | |
dc.identifier.isbn | 978-84-606-5763-7 | |
dc.identifier.issn | 2340-1079 | |
dc.identifier.uri | http://hdl.handle.net/10251/70229 | |
dc.description.abstract | Graphics Processing Units (GPUs) have become widely used to accelerate scientific applications; therefore, it is important that Computer Science and Computer Engineering curricula include the fundamentals of parallel computing with GPUs. Regarding the practical part of the training, one important concern is how to introduce GPUs into a laboratory: installing GPUs in all the computers of the lab may not be affordable, while sharing a remote GPU server among several students may result in a poor learning experience because of its associated overhead. In this paper we propose a solution to address this problem: the use of the rCUDA (remote CUDA) middleware, which enables programs being executed in a computer to make concurrent use of GPUs located in remote servers. Hence, students would be able to concurrently and transparently share a single remote GPU from their local machines in the laboratory without having to log into the remote server. In order to demonstrate that our proposal is feasible, we present results of a real scenario. The results show that the cost of the laboratory is noticeably reduced while the learning experience quality is maintained. | es_ES |
dc.format.extent | 10 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | IATED | es_ES |
dc.relation.ispartof | INTED2015 Proceedings | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | CUDA | es_ES |
dc.subject | Reducing teaching costs | es_ES |
dc.subject | Teaching labs | es_ES |
dc.subject.classification | ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES | es_ES |
dc.title | Reducing the Costs of Teaching CUDA in Laboratories while Maintaining the Learning Experience Quality | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica | es_ES |
dc.description.bibliographicCitation | Reaño González, C.; Silla Jiménez, F. (2015). Reducing the Costs of Teaching CUDA in Laboratories while Maintaining the Learning Experience Quality. En INTED2015 Proceedings. IATED. 3651-3660. http://hdl.handle.net/10251/70229 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 9th International Technology, Education and Development Conference (INTED 2015) | es_ES |
dc.relation.conferencedate | March 2-4, 2015 | es_ES |
dc.relation.conferenceplace | Madrid, Spain | es_ES |
dc.relation.publisherversion | https://library.iated.org/view/REANO2015RED | es_ES |
dc.description.upvformatpinicio | 3651 | es_ES |
dc.description.upvformatpfin | 3660 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.senia | 282860 | es_ES |