SIMCAN: A simulator to improve the learning of distributed and high‐performance computing systems in engineering degrees-Reference-Cited by-同舟云学术

SIMCAN: A simulator to improve the learning of distributed and high‐performance computing systems in engineering degrees

Published:2019-07-26 Issue:5 Volume:27 Page:1126-1138
ISSN:1061-3773
Container-title:Computer Applications in Engineering Education
language:en
Short-container-title:Comput Appl Eng Educ

Author:

Núñez Alberto¹^ORCID,Mañoso Carolina²,Madrid Ángel P.²,Pickin Simon¹

Affiliation:

1. Software Systems and Computation DepartmentComplutense University of MadridMadrid Spain

2. Control and Communication Systems DepartmentUniversidad Nacional de Educación a Distancia – UNEDMadrid Spain

Funder

Spanish MINECO-FEDER

Region of Madrid

Publisher

Wiley

Subject

General Engineering,Education,General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cae.22141

Reference39 articles.

1. Simulation for computer sciences education;Alnoukari M.;Commun. ACS,2013

2. H.Casanovaet al. SMPI courseware: teaching distributed‐memory computing with MPI in simulation Proceedings of 2018 IEEE/ACM Workshop on Education for High‐Performance Computing (EduHPC) Nov2018 pp.1–10.

3. P. N.Clausset al. Single node on‐line simulation of MPI applications with SMPI Proceedings of 25th IEEE International Parallel and Distributed Processing Symposium 2011 pp.664–675 https://doi.org/10.1109/IPDPS.2011.69

4. Curriculum Guidelines for Undergraduate Programs in Computer Science The Joint Task Force on Computing Curricula Association for Computing Machinery(ACM) IEEE Computer Society ACM Press & IEEE CS Press Dec. 20 2013.

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