Clupiter: a Raspberry Pi mini-supercomputer for educational purposes
Use este enlace para citar
http://hdl.handle.net/2183/34659Coleccións
Metadatos
Mostrar o rexistro completo do ítemTítulo
Clupiter: a Raspberry Pi mini-supercomputer for educational purposesData
2024Cita bibliográfica
Alonso Rodríguez-Iglesias. María J. Martín, Juan Touriño (2024). Clupiter: a Raspberry Pi mini-supercomputer for educational purposes. In Proceedings of 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) Exeter, United Kingdom, November 2023. Pages 2408-2413. IEEE Catalog Number: CFP23TRU-ART. ISBN: 979-8-3503-8199-3. ISSN: 2324-9013. https://doi.org/10.1109/TrustCom60117.2023.00338
Resumo
[Abstract]: The main objective of this work is to bring supercomputing and parallel processing closer to non-specialized audiences by building a Raspberry Pi cluster, called Clupiter, which emulates the operation of a supercomputer. It consists of eight Raspberry Pi devices interconnected to each other so that they can run jobs in parallel. To make it easier to show how it works, a web application has been developed. It allows launching parallel applications and accessing a monitoring system to see the resource usage when these applications are running. The NAS Parallel Benchmarks (NPB) are used as demonstration applications. From this web application a couple of educational videos can also be accessed. They deal, in a very informative way, with the concepts of supercomputing and parallel programming.
Palabras chave
Supercomputer
Parallel Programming
MPI
Raspberry Pi
NAS Parallel Benchmarks (NPB)
Parallel Programming
MPI
Raspberry Pi
NAS Parallel Benchmarks (NPB)
Descrición
© 2024 IEEE. This version of the paper has been accepted for publication. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Versión do editor
Dereitos
© 2024 IEEE. Todos os dereitos reservados. All rights reserved.
ISSN
2324-9013
ISBN
979-8-3503-8199-3