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Learning Cluster Computing by Creating a Raspberry Pi Cluster

Authors:

Kevin Doucet,

Jian ZhangAuthors Info & Claims

ACMSE '17: Proceedings of the 2017 ACM Southeast Conference

Pages 191 - 194

https://doi.org/10.1145/3077286.3077324

Published: 13 April 2017 Publication History

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Abstract

The study of cluster computing and its applications are vital to the future of computer science. By linking a group of computers to provide more processing power than one computer can alone, this is the principle upon which modern supercomputers are built. This short paper describes a student's learning experience in cluster computing. As part of the Texas Woman's University's Quality Enhancement project, the student received funding to purchase computing components to create a low-cost cluster computer using 5 Raspberry Pis. The data collected from experiments running on the cluster computer is compared to those from a single Raspberry Pi. The results from those experiments are presented in the paper.

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Basuel RLopez KCayabyab K(2023)Development of 32-Core parallel computing machine using multi-node and hyperthreading technologyTHE 6TH INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT, EPIDEMIOLOGY AND INFORMATION SYSTEM (ICENIS) 2021: Topic of Energy, Environment, Epidemiology, and Information System10.1063/5.0145217(030013)Online publication date: 2023
https://doi.org/10.1063/5.0145217
Al-Begain KKhan MAlothman BJoumaa CAlrashed E(2022)A DDoS Detection and Prevention System for IoT Devices and Its Application to Smart Home EnvironmentApplied Sciences10.3390/app12221185312:22(11853)Online publication date: 21-Nov-2022
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Fadhil HAbdulnasser ZMohammed S(2022)Improve Data Mining Techniques with a High-Performance Cluster2022 International Conference on Computer and Applications (ICCA)10.1109/ICCA56443.2022.10039629(1-5)Online publication date: 20-Dec-2022
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Published In

ACMSE '17: Proceedings of the 2017 ACM Southeast Conference

April 2017

275 pages

ISBN:9781450350242

DOI:10.1145/3077286

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 April 2017

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ACM SE '17

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ACM SE '17: SouthEast Conference

April 13 - 15, 2017

GA, Kennesaw, USA

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ACMSE '17 Paper Acceptance Rate 21 of 34 submissions, 62%;

Overall Acceptance Rate 502 of 1,023 submissions, 49%

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Basuel RLopez KCayabyab K(2023)Development of 32-Core parallel computing machine using multi-node and hyperthreading technologyTHE 6TH INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT, EPIDEMIOLOGY AND INFORMATION SYSTEM (ICENIS) 2021: Topic of Energy, Environment, Epidemiology, and Information System10.1063/5.0145217(030013)Online publication date: 2023
https://doi.org/10.1063/5.0145217
Al-Begain KKhan MAlothman BJoumaa CAlrashed E(2022)A DDoS Detection and Prevention System for IoT Devices and Its Application to Smart Home EnvironmentApplied Sciences10.3390/app12221185312:22(11853)Online publication date: 21-Nov-2022
https://doi.org/10.3390/app122211853
Fadhil HAbdulnasser ZMohammed S(2022)Improve Data Mining Techniques with a High-Performance Cluster2022 International Conference on Computer and Applications (ICCA)10.1109/ICCA56443.2022.10039629(1-5)Online publication date: 20-Dec-2022
https://doi.org/10.1109/ICCA56443.2022.10039629
Vargas-Pérez S(2022)Designing an Independent Study to Create HPC Learning Experiences for Undergraduates2022 IEEE 29th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW)10.1109/HiPCW57629.2022.00006(6-11)Online publication date: Dec-2022
https://doi.org/10.1109/HiPCW57629.2022.00006
Dixon B(2021)Automating configuring parallel compute environments for studentsJournal of Computing Sciences in Colleges10.5555/3512528.351253037:4(25-29)Online publication date: 1-Oct-2021
https://dl.acm.org/doi/10.5555/3512528.3512530
Mattia GBeraldi R(2021)Towards Testbed as-a-Service: design and implementation of an unattended SoC cluster2021 International Conference on Computer Communications and Networks (ICCCN)10.1109/ICCCN52240.2021.9522323(1-8)Online publication date: Jul-2021
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Ariza JBaez H(2021)Understanding the role of single‐board computers in engineering and computer science education: A systematic literature reviewComputer Applications in Engineering Education10.1002/cae.22439Online publication date: 4-Jun-2021
https://doi.org/10.1002/cae.22439
Moses Mwasaga NJoy M(2020)Implementing micro High Performance Computing (µHPC) artifact: Affordable HPC Facilities for Academia2020 IEEE Frontiers in Education Conference (FIE)10.1109/FIE44824.2020.9273986(1-9)Online publication date: 21-Oct-2020
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Doucet KZhang J(2019)The Creation of a Low-cost Raspberry Pi Cluster for TeachingProceedings of the 24th Western Canadian Conference on Computing Education10.1145/3314994.3325088(1-5)Online publication date: 3-May-2019
https://dl.acm.org/doi/10.1145/3314994.3325088
Rudraraju SSuryadevara NNegi A(2019)Face Recognition in the Fog Cluster Computing2019 IEEE International Conference on Signal Processing, Information, Communication & Systems (SPICSCON)10.1109/SPICSCON48833.2019.9065100(45-48)Online publication date: Nov-2019
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The Creation of a Low-cost Raspberry Pi Cluster for Teaching

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