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A Low-Cost Multicomputer for Teaching Environments

  • Datos identificativos

    Identificador: imarina:7742806
    Autores:
    Aliagas, CarlesGarcia-Famoso, MontseMeseguer, RocMillan, PereMolina, Carlos
    Resumen:
    We propose a teaching resource that uses HardKernel boards to build an MPI server with 256 cores. Although this system has a relatively low performance, the aim is to provide access to hundreds of cores for carrying out scalability analyses, while obtaining a good trade-off between performance, price, and energy consumption. Here, we give details about the implementation of this system at both the hardware and software levels. We also explain how it was used to teach parallel programming in a university degree course, and discuss the teachers' and students' comments about using this new system.
  • Otros:

    Autor según el artículo: Aliagas, Carles; Garcia-Famoso, Montse; Meseguer, Roc; Millan, Pere; Molina, Carlos
    Departamento: Enginyeria Informàtica i Matemàtiques
    Autor/es de la URV: Aliagas Castell, Carlos / García Famoso, María Montserrat / Millán Marco, Pedro / Molina Clemente, Carlos María
    Palabras clave: Servers Scalability Performance Parallel programming Parallel machines Multiprocessor interconnection Multicore processing Low-power systems Hardware Graphics processing units Educational activities Education Cluster Affordable and clean energy
    Resumen: We propose a teaching resource that uses HardKernel boards to build an MPI server with 256 cores. Although this system has a relatively low performance, the aim is to provide access to hundreds of cores for carrying out scalability analyses, while obtaining a good trade-off between performance, price, and energy consumption. Here, we give details about the implementation of this system at both the hardware and software levels. We also explain how it was used to teach parallel programming in a university degree course, and discuss the teachers' and students' comments about using this new system.
    Áreas temáticas: Linguística e literatura Interdisciplinar General engineering Ensino Engineering (miscellaneous) Engineering (all) Engenharias iv Education Educación Educação E-learning Computer science, interdisciplinary applications Ciência da computação
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 19328540
    Direcció de correo del autor: carlos.molina@urv.cat pere.millan@urv.cat montse.garcia@urv.cat montse.garcia@urv.cat carles.aliagas@urv.cat carles.aliagas@urv.cat
    Identificador del autor: 0000-0003-1955-0128 0000-0002-4132-7099 0000-0002-9838-8896 0000-0002-9838-8896
    Fecha de alta del registro: 2024-11-23
    Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Revista Iberoamericana De Tecnologias Del Aprendizaje. 15 (3): 171-182
    Referencia de l'ítem segons les normes APA: Aliagas, Carles; Garcia-Famoso, Montse; Meseguer, Roc; Millan, Pere; Molina, Carlos (2020). A Low-Cost Multicomputer for Teaching Environments. Revista Iberoamericana De Tecnologias Del Aprendizaje, 15(3), 171-182. DOI: 10.1109/RITA.2020.3008098
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2020
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Computer Science, Interdisciplinary Applications,E-Learning,Education,Engineering (Miscellaneous)
    Servers
    Scalability
    Performance
    Parallel programming
    Parallel machines
    Multiprocessor interconnection
    Multicore processing
    Low-power systems
    Hardware
    Graphics processing units
    Educational activities
    Education
    Cluster
    Affordable and clean energy
    Linguística e literatura
    Interdisciplinar
    General engineering
    Ensino
    Engineering (miscellaneous)
    Engineering (all)
    Engenharias iv
    Education
    Educación
    Educação
    E-learning
    Computer science, interdisciplinary applications
    Ciência da computação
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