Evaluating ARM and RISC-V Architectures for High-Performance Computing with Docker and Kubernetes

This paper thoroughly assesses the ARM and RISC-V architectures in the context of high-performance computing (HPC). It includes an analysis of Docker and Kubernetes integration. Our study aims to evaluate and compare these systems’ performance, scalability, and practicality in a general context and...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Electronics (Basel) 2024-09, Vol.13 (17), p.3494
Hauptverfasser: Dakić, Vedran, Mršić, Leo, Kunić, Zdravko, Đambić, Goran
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 17
container_start_page 3494
container_title Electronics (Basel)
container_volume 13
creator Dakić, Vedran
Mršić, Leo
Kunić, Zdravko
Đambić, Goran
description This paper thoroughly assesses the ARM and RISC-V architectures in the context of high-performance computing (HPC). It includes an analysis of Docker and Kubernetes integration. Our study aims to evaluate and compare these systems’ performance, scalability, and practicality in a general context and then assess the impact they might have on special use cases, like HPC. ARM-based systems exhibited better performance and seamless integration with Docker and Kubernetes, underscoring their advanced development and effectiveness in managing high-performance computing workloads. On the other hand, despite their open-source architecture, RISC-V platforms presented considerable intricacy and difficulties in working with Kubernetes, which hurt their overall effectiveness and ease of management. The results of our study offer valuable insights into the practical consequences of implementing these architectures for HPC, highlighting ARM’s preparedness and the potential of RISC-V while acknowledging the increased complexity and significant trade-offs involved at this point.
doi_str_mv 10.3390/electronics13173494
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3103826135</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3103826135</sourcerecordid><originalsourceid>FETCH-LOGICAL-c202t-8cb42714277cebf07e8c1d566fe83f73da5982dd1b9ae518a2aad4d75c2c8d6a3</originalsourceid><addsrcrecordid>eNptkEtPwzAQhC0EElXpL-BiiXPAjyS2j1UotKIIVB7XyLE3bUobF9sB8e8JLQcOrLTaOcx-Iw1C55Rccq7IFWzARO_axgTKqeCpSo_QgBGhEsUUO_6jT9EohDXpR1EuORkgPfnQm07Hpl3i8eIe69bixeypSF7x2JtVE3t25yHg2nk8bZar5BF8r7e6NYALt911-9_PJq7wtTNv4PeMu64C30KEcIZOar0JMPq9Q_RyM3kupsn84XZWjOeJYYTFRJoqZYL2KwxUNREgDbVZntcgeS241ZmSzFpaKQ0ZlZppbVMrMsOMtLnmQ3Rx4O68e-8gxHLtOt_2kSWnhEuWU571Ln5wGe9C8FCXO99stf8qKSl_6iz_qZN_A3j1a-g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3103826135</pqid></control><display><type>article</type><title>Evaluating ARM and RISC-V Architectures for High-Performance Computing with Docker and Kubernetes</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Dakić, Vedran ; Mršić, Leo ; Kunić, Zdravko ; Đambić, Goran</creator><creatorcontrib>Dakić, Vedran ; Mršić, Leo ; Kunić, Zdravko ; Đambić, Goran</creatorcontrib><description>This paper thoroughly assesses the ARM and RISC-V architectures in the context of high-performance computing (HPC). It includes an analysis of Docker and Kubernetes integration. Our study aims to evaluate and compare these systems’ performance, scalability, and practicality in a general context and then assess the impact they might have on special use cases, like HPC. ARM-based systems exhibited better performance and seamless integration with Docker and Kubernetes, underscoring their advanced development and effectiveness in managing high-performance computing workloads. On the other hand, despite their open-source architecture, RISC-V platforms presented considerable intricacy and difficulties in working with Kubernetes, which hurt their overall effectiveness and ease of management. The results of our study offer valuable insights into the practical consequences of implementing these architectures for HPC, highlighting ARM’s preparedness and the potential of RISC-V while acknowledging the increased complexity and significant trade-offs involved at this point.</description><identifier>ISSN: 2079-9292</identifier><identifier>EISSN: 2079-9292</identifier><identifier>DOI: 10.3390/electronics13173494</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Approximation ; Architecture ; Collaboration ; Context ; Cooperation ; Design ; Electronics industry ; Embedded systems ; Energy efficiency ; High performance computing ; Optimization techniques ; Performance evaluation ; Power ; Radiation ; RISC ; Software ; Supercomputers ; System effectiveness ; Workloads</subject><ispartof>Electronics (Basel), 2024-09, Vol.13 (17), p.3494</ispartof><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c202t-8cb42714277cebf07e8c1d566fe83f73da5982dd1b9ae518a2aad4d75c2c8d6a3</cites><orcidid>0000-0002-5093-3453 ; 0000-0002-0683-0043 ; 0000-0001-5790-7701 ; 0000-0001-8638-6044</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Dakić, Vedran</creatorcontrib><creatorcontrib>Mršić, Leo</creatorcontrib><creatorcontrib>Kunić, Zdravko</creatorcontrib><creatorcontrib>Đambić, Goran</creatorcontrib><title>Evaluating ARM and RISC-V Architectures for High-Performance Computing with Docker and Kubernetes</title><title>Electronics (Basel)</title><description>This paper thoroughly assesses the ARM and RISC-V architectures in the context of high-performance computing (HPC). It includes an analysis of Docker and Kubernetes integration. Our study aims to evaluate and compare these systems’ performance, scalability, and practicality in a general context and then assess the impact they might have on special use cases, like HPC. ARM-based systems exhibited better performance and seamless integration with Docker and Kubernetes, underscoring their advanced development and effectiveness in managing high-performance computing workloads. On the other hand, despite their open-source architecture, RISC-V platforms presented considerable intricacy and difficulties in working with Kubernetes, which hurt their overall effectiveness and ease of management. The results of our study offer valuable insights into the practical consequences of implementing these architectures for HPC, highlighting ARM’s preparedness and the potential of RISC-V while acknowledging the increased complexity and significant trade-offs involved at this point.</description><subject>Approximation</subject><subject>Architecture</subject><subject>Collaboration</subject><subject>Context</subject><subject>Cooperation</subject><subject>Design</subject><subject>Electronics industry</subject><subject>Embedded systems</subject><subject>Energy efficiency</subject><subject>High performance computing</subject><subject>Optimization techniques</subject><subject>Performance evaluation</subject><subject>Power</subject><subject>Radiation</subject><subject>RISC</subject><subject>Software</subject><subject>Supercomputers</subject><subject>System effectiveness</subject><subject>Workloads</subject><issn>2079-9292</issn><issn>2079-9292</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptkEtPwzAQhC0EElXpL-BiiXPAjyS2j1UotKIIVB7XyLE3bUobF9sB8e8JLQcOrLTaOcx-Iw1C55Rccq7IFWzARO_axgTKqeCpSo_QgBGhEsUUO_6jT9EohDXpR1EuORkgPfnQm07Hpl3i8eIe69bixeypSF7x2JtVE3t25yHg2nk8bZar5BF8r7e6NYALt911-9_PJq7wtTNv4PeMu64C30KEcIZOar0JMPq9Q_RyM3kupsn84XZWjOeJYYTFRJoqZYL2KwxUNREgDbVZntcgeS241ZmSzFpaKQ0ZlZppbVMrMsOMtLnmQ3Rx4O68e-8gxHLtOt_2kSWnhEuWU571Ln5wGe9C8FCXO99stf8qKSl_6iz_qZN_A3j1a-g</recordid><startdate>20240903</startdate><enddate>20240903</enddate><creator>Dakić, Vedran</creator><creator>Mršić, Leo</creator><creator>Kunić, Zdravko</creator><creator>Đambić, Goran</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><orcidid>https://orcid.org/0000-0002-5093-3453</orcidid><orcidid>https://orcid.org/0000-0002-0683-0043</orcidid><orcidid>https://orcid.org/0000-0001-5790-7701</orcidid><orcidid>https://orcid.org/0000-0001-8638-6044</orcidid></search><sort><creationdate>20240903</creationdate><title>Evaluating ARM and RISC-V Architectures for High-Performance Computing with Docker and Kubernetes</title><author>Dakić, Vedran ; Mršić, Leo ; Kunić, Zdravko ; Đambić, Goran</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c202t-8cb42714277cebf07e8c1d566fe83f73da5982dd1b9ae518a2aad4d75c2c8d6a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Approximation</topic><topic>Architecture</topic><topic>Collaboration</topic><topic>Context</topic><topic>Cooperation</topic><topic>Design</topic><topic>Electronics industry</topic><topic>Embedded systems</topic><topic>Energy efficiency</topic><topic>High performance computing</topic><topic>Optimization techniques</topic><topic>Performance evaluation</topic><topic>Power</topic><topic>Radiation</topic><topic>RISC</topic><topic>Software</topic><topic>Supercomputers</topic><topic>System effectiveness</topic><topic>Workloads</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dakić, Vedran</creatorcontrib><creatorcontrib>Mršić, Leo</creatorcontrib><creatorcontrib>Kunić, Zdravko</creatorcontrib><creatorcontrib>Đambić, Goran</creatorcontrib><collection>CrossRef</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Electronics (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dakić, Vedran</au><au>Mršić, Leo</au><au>Kunić, Zdravko</au><au>Đambić, Goran</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluating ARM and RISC-V Architectures for High-Performance Computing with Docker and Kubernetes</atitle><jtitle>Electronics (Basel)</jtitle><date>2024-09-03</date><risdate>2024</risdate><volume>13</volume><issue>17</issue><spage>3494</spage><pages>3494-</pages><issn>2079-9292</issn><eissn>2079-9292</eissn><abstract>This paper thoroughly assesses the ARM and RISC-V architectures in the context of high-performance computing (HPC). It includes an analysis of Docker and Kubernetes integration. Our study aims to evaluate and compare these systems’ performance, scalability, and practicality in a general context and then assess the impact they might have on special use cases, like HPC. ARM-based systems exhibited better performance and seamless integration with Docker and Kubernetes, underscoring their advanced development and effectiveness in managing high-performance computing workloads. On the other hand, despite their open-source architecture, RISC-V platforms presented considerable intricacy and difficulties in working with Kubernetes, which hurt their overall effectiveness and ease of management. The results of our study offer valuable insights into the practical consequences of implementing these architectures for HPC, highlighting ARM’s preparedness and the potential of RISC-V while acknowledging the increased complexity and significant trade-offs involved at this point.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/electronics13173494</doi><orcidid>https://orcid.org/0000-0002-5093-3453</orcidid><orcidid>https://orcid.org/0000-0002-0683-0043</orcidid><orcidid>https://orcid.org/0000-0001-5790-7701</orcidid><orcidid>https://orcid.org/0000-0001-8638-6044</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2079-9292
ispartof Electronics (Basel), 2024-09, Vol.13 (17), p.3494
issn 2079-9292
2079-9292
language eng
recordid cdi_proquest_journals_3103826135
source MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals
subjects Approximation
Architecture
Collaboration
Context
Cooperation
Design
Electronics industry
Embedded systems
Energy efficiency
High performance computing
Optimization techniques
Performance evaluation
Power
Radiation
RISC
Software
Supercomputers
System effectiveness
Workloads
title Evaluating ARM and RISC-V Architectures for High-Performance Computing with Docker and Kubernetes
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T17%3A29%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Evaluating%20ARM%20and%20RISC-V%20Architectures%20for%20High-Performance%20Computing%20with%20Docker%20and%20Kubernetes&rft.jtitle=Electronics%20(Basel)&rft.au=Daki%C4%87,%20Vedran&rft.date=2024-09-03&rft.volume=13&rft.issue=17&rft.spage=3494&rft.pages=3494-&rft.issn=2079-9292&rft.eissn=2079-9292&rft_id=info:doi/10.3390/electronics13173494&rft_dat=%3Cproquest_cross%3E3103826135%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3103826135&rft_id=info:pmid/&rfr_iscdi=true