BSC best practices in professional training and teaching for the HPC ecosystem

Sancho Samsó, María Ribera

doi:10.1016/j.jocs.2015.12.004

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Sancho Samsó, María Ribera

Document typeArticle

Defense date2016-05-16

PublisherElsevier

Rights accessRestricted access - publisher's policy

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder

ProjectPRACE-4IP - PRACE 4th Implementation Phase Project (EC-H2020-653838)

Abstract

This paper outlines the key components of the European HPC ecosystems, analyses the major challenges as well as corresponding specific technical focus areas which needs to be addressed in European strategic research agenda for HPC leadership. Further the need for education and training is clearly identified and the BSC approach, BSC model and best practices are presented and analyzed. Further a generalization and analysis of the approach are given.

CitationSancho, Maria-Ribera. BSC best practices in professional training and teaching for the HPC ecosystem. "Journal of computational science", 16 Maig 2016, vol. 14, p. 74-77.

URIhttp://hdl.handle.net/2117/99259

DOI10.1016/j.jocs.2015.12.004

ISSN1877-7503

Publisher versionhttp://www.sciencedirect.com/science/article/pii/S1877750315300508

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BSC best practices in professional training and teaching for the HPC ecosystem

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