FIRESTARTER 2: Dynamic Code Generation for Processor Stress Tests

Processor stress tests target to maximize processor power consumption by executing highly demanding workloads. They are typically used to test the cooling and electrical infrastructure of compute nodes or larger systems in labs or data centers. While multiple of these tools already exists, they have...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:arXiv.org 2021-10
Hauptverfasser: Schöne, Robert, Schmidl, Markus, Bielert, Mario, Hackenberg, Daniel
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title arXiv.org
container_volume
creator Schöne, Robert
Schmidl, Markus
Bielert, Mario
Hackenberg, Daniel
description Processor stress tests target to maximize processor power consumption by executing highly demanding workloads. They are typically used to test the cooling and electrical infrastructure of compute nodes or larger systems in labs or data centers. While multiple of these tools already exists, they have to be re-evaluated and updated regularly to match the developments in computer architecture. This paper presents the first major update of FIRESTARTER, an Open Source tool specifically designed to create near-peak power consumption. The main new features concern the online generation of workloads and automatic self-tuning for specific hardware configurations. We further apply these new features on an AMD Rome system and demonstrate the optimization process. Our analysis shows how accesses to the different levels of the memory hierarchy contribute to the overall power consumption. Finally, we demonstrate how the auto-tuning algorithm can cope with different processor configurations and how these influence the effectiveness of the created workload.
doi_str_mv 10.48550/arxiv.2108.01470
format Article
fullrecord <record><control><sourceid>proquest_arxiv</sourceid><recordid>TN_cdi_arxiv_primary_2108_01470</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2557937156</sourcerecordid><originalsourceid>FETCH-LOGICAL-a526-c23c6485d70b304b39b6490a406b9f61afd792c7731401fa79c6db4ef9be6fa13</originalsourceid><addsrcrecordid>eNotj11LwzAYhYMgOOZ-gFcGvG5989Gk8a7Ubg4GStf7krYJdLhmJpu4f2_cvDrn4nB4HoQeCKQ8zzJ41v5n_E4pgTwFwiXcoBlljCQ5p_QOLULYAQAVkmYZm6Fiua6rbVPUTVVj-oJfz5Pejz0u3WDwykzG6-PoJmydxx_e9SaE2LZHHwtuTDiGe3Rr9Wcwi_-co2ZZNeVbsnlfrctik-iMiqSnrBcRcJDQMeAdU53gCjQH0SkriLaDVLSXkhEOxGqpejF03FjVGWE1YXP0eL29-LUHP-61P7d_nu3FMy6erouDd1-niNbu3MlPkamNrlIxSTLBfgGYtFNE</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2557937156</pqid></control><display><type>article</type><title>FIRESTARTER 2: Dynamic Code Generation for Processor Stress Tests</title><source>arXiv.org</source><source>Free E- Journals</source><creator>Schöne, Robert ; Schmidl, Markus ; Bielert, Mario ; Hackenberg, Daniel</creator><creatorcontrib>Schöne, Robert ; Schmidl, Markus ; Bielert, Mario ; Hackenberg, Daniel</creatorcontrib><description>Processor stress tests target to maximize processor power consumption by executing highly demanding workloads. They are typically used to test the cooling and electrical infrastructure of compute nodes or larger systems in labs or data centers. While multiple of these tools already exists, they have to be re-evaluated and updated regularly to match the developments in computer architecture. This paper presents the first major update of FIRESTARTER, an Open Source tool specifically designed to create near-peak power consumption. The main new features concern the online generation of workloads and automatic self-tuning for specific hardware configurations. We further apply these new features on an AMD Rome system and demonstrate the optimization process. Our analysis shows how accesses to the different levels of the memory hierarchy contribute to the overall power consumption. Finally, we demonstrate how the auto-tuning algorithm can cope with different processor configurations and how these influence the effectiveness of the created workload.</description><identifier>EISSN: 2331-8422</identifier><identifier>DOI: 10.48550/arxiv.2108.01470</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Algorithms ; Computer architecture ; Computer Science - Performance ; Configurations ; Data centers ; Microprocessors ; Optimization ; Power consumption ; Power management ; Self tuning ; Workload ; Workloads</subject><ispartof>arXiv.org, 2021-10</ispartof><rights>2021. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,780,881,27904</link.rule.ids><backlink>$$Uhttps://doi.org/10.48550/arXiv.2108.01470$$DView paper in arXiv$$Hfree_for_read</backlink><backlink>$$Uhttps://doi.org/10.1109/Cluster48925.2021.00084$$DView published paper (Access to full text may be restricted)$$Hfree_for_read</backlink></links><search><creatorcontrib>Schöne, Robert</creatorcontrib><creatorcontrib>Schmidl, Markus</creatorcontrib><creatorcontrib>Bielert, Mario</creatorcontrib><creatorcontrib>Hackenberg, Daniel</creatorcontrib><title>FIRESTARTER 2: Dynamic Code Generation for Processor Stress Tests</title><title>arXiv.org</title><description>Processor stress tests target to maximize processor power consumption by executing highly demanding workloads. They are typically used to test the cooling and electrical infrastructure of compute nodes or larger systems in labs or data centers. While multiple of these tools already exists, they have to be re-evaluated and updated regularly to match the developments in computer architecture. This paper presents the first major update of FIRESTARTER, an Open Source tool specifically designed to create near-peak power consumption. The main new features concern the online generation of workloads and automatic self-tuning for specific hardware configurations. We further apply these new features on an AMD Rome system and demonstrate the optimization process. Our analysis shows how accesses to the different levels of the memory hierarchy contribute to the overall power consumption. Finally, we demonstrate how the auto-tuning algorithm can cope with different processor configurations and how these influence the effectiveness of the created workload.</description><subject>Algorithms</subject><subject>Computer architecture</subject><subject>Computer Science - Performance</subject><subject>Configurations</subject><subject>Data centers</subject><subject>Microprocessors</subject><subject>Optimization</subject><subject>Power consumption</subject><subject>Power management</subject><subject>Self tuning</subject><subject>Workload</subject><subject>Workloads</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GOX</sourceid><recordid>eNotj11LwzAYhYMgOOZ-gFcGvG5989Gk8a7Ubg4GStf7krYJdLhmJpu4f2_cvDrn4nB4HoQeCKQ8zzJ41v5n_E4pgTwFwiXcoBlljCQ5p_QOLULYAQAVkmYZm6Fiua6rbVPUTVVj-oJfz5Pejz0u3WDwykzG6-PoJmydxx_e9SaE2LZHHwtuTDiGe3Rr9Wcwi_-co2ZZNeVbsnlfrctik-iMiqSnrBcRcJDQMeAdU53gCjQH0SkriLaDVLSXkhEOxGqpejF03FjVGWE1YXP0eL29-LUHP-61P7d_nu3FMy6erouDd1-niNbu3MlPkamNrlIxSTLBfgGYtFNE</recordid><startdate>20211025</startdate><enddate>20211025</enddate><creator>Schöne, Robert</creator><creator>Schmidl, Markus</creator><creator>Bielert, Mario</creator><creator>Hackenberg, Daniel</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20211025</creationdate><title>FIRESTARTER 2: Dynamic Code Generation for Processor Stress Tests</title><author>Schöne, Robert ; Schmidl, Markus ; Bielert, Mario ; Hackenberg, Daniel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a526-c23c6485d70b304b39b6490a406b9f61afd792c7731401fa79c6db4ef9be6fa13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Computer architecture</topic><topic>Computer Science - Performance</topic><topic>Configurations</topic><topic>Data centers</topic><topic>Microprocessors</topic><topic>Optimization</topic><topic>Power consumption</topic><topic>Power management</topic><topic>Self tuning</topic><topic>Workload</topic><topic>Workloads</topic><toplevel>online_resources</toplevel><creatorcontrib>Schöne, Robert</creatorcontrib><creatorcontrib>Schmidl, Markus</creatorcontrib><creatorcontrib>Bielert, Mario</creatorcontrib><creatorcontrib>Hackenberg, Daniel</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</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>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>arXiv Computer Science</collection><collection>arXiv.org</collection><jtitle>arXiv.org</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schöne, Robert</au><au>Schmidl, Markus</au><au>Bielert, Mario</au><au>Hackenberg, Daniel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>FIRESTARTER 2: Dynamic Code Generation for Processor Stress Tests</atitle><jtitle>arXiv.org</jtitle><date>2021-10-25</date><risdate>2021</risdate><eissn>2331-8422</eissn><abstract>Processor stress tests target to maximize processor power consumption by executing highly demanding workloads. They are typically used to test the cooling and electrical infrastructure of compute nodes or larger systems in labs or data centers. While multiple of these tools already exists, they have to be re-evaluated and updated regularly to match the developments in computer architecture. This paper presents the first major update of FIRESTARTER, an Open Source tool specifically designed to create near-peak power consumption. The main new features concern the online generation of workloads and automatic self-tuning for specific hardware configurations. We further apply these new features on an AMD Rome system and demonstrate the optimization process. Our analysis shows how accesses to the different levels of the memory hierarchy contribute to the overall power consumption. Finally, we demonstrate how the auto-tuning algorithm can cope with different processor configurations and how these influence the effectiveness of the created workload.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><doi>10.48550/arxiv.2108.01470</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier EISSN: 2331-8422
ispartof arXiv.org, 2021-10
issn 2331-8422
language eng
recordid cdi_arxiv_primary_2108_01470
source arXiv.org; Free E- Journals
subjects Algorithms
Computer architecture
Computer Science - Performance
Configurations
Data centers
Microprocessors
Optimization
Power consumption
Power management
Self tuning
Workload
Workloads
title FIRESTARTER 2: Dynamic Code Generation for Processor Stress Tests
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T18%3A39%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_arxiv&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=FIRESTARTER%202:%20Dynamic%20Code%20Generation%20for%20Processor%20Stress%20Tests&rft.jtitle=arXiv.org&rft.au=Sch%C3%B6ne,%20Robert&rft.date=2021-10-25&rft.eissn=2331-8422&rft_id=info:doi/10.48550/arxiv.2108.01470&rft_dat=%3Cproquest_arxiv%3E2557937156%3C/proquest_arxiv%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2557937156&rft_id=info:pmid/&rfr_iscdi=true