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10.1145/3626203.3670618acmconferencesArticle/Chapter ViewAbstractPublication PagespearcConference Proceedingsconference-collections
poster

Use of low-end single board computer clusters to prototype cluster administration and benchmarking

Published: 17 July 2024 Publication History

Abstract

Single board computers can be connected as a cluster to be used for academic and scientific projects as well as a test bed for installations on large data center clusters. These clusters offer a low-cost alternative for prototyping cluster administration and benchmarking for bigger clusters. In this poster, we propose a cluster using four Radxa X2L single computer boards, designating one of the boards as the head node and the rest as compute nodes and integrate the software operational steps that are used to support large data center clusters into this single board clusters. Provisioning of the cluster is done using Warewulf while working closely with Warewulf developers to install the latest version and test it for any bugs. Furthermore, we install software, such as Slurm and Spack, and run a project that requires Open MPI showing the ability of the cluster to carry out parallel operations.

References

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J. Ariza and H. Baez, "Understanding the role of single-board computers in engineering and computer science education: A systematic literature review," Computer Applications in Engineering Education, pp. 304-329, 2021.
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Published In

cover image ACM Conferences
PEARC '24: Practice and Experience in Advanced Research Computing 2024: Human Powered Computing
July 2024
608 pages
ISBN:9798400704192
DOI:10.1145/3626203
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

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Publication History

Published: 17 July 2024

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Author Tags

  1. Education
  2. High Performance Computing
  3. Single Board Computers

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PEARC '24
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Overall Acceptance Rate 133 of 202 submissions, 66%

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