Impact of Dynamic Voltage on GPU Energy Consumption for Real-Time Systems

Impact of Dynamic Voltage on GPU Energy Consumption for Real-Time Systems | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Impact of Dynamic Voltage on GPU Energy Consumption for Real-Time Systems Gamil Radman, Abdullah Alhussain, Nasro Min-Allah This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9423012/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 8 You are reading this latest preprint version Abstract Dynamic Voltage and Frequency Scaling (DVFS) has emerged as a crucial technique for balancing energy consumption and computational performance in CMOS-based systems. With the rise of highly parallel architectures like GPUs, applying DVFS effectively in real-time environments poses unique challenges and opportunities. By exploiting massive parallelism, high memory bandwidth, GPUs support real-time image and video in deep learning inference, meeting strict latency constraints required in real-time systems. This study investigates the application of DVFS on NVIDIA DGX systems equipped with Tesla V100 GPUs to balance energy consumption and deadline compliance for periodic task sets. By leveraging a necessary and sufficient schedulability condition, we dynam- ically adjust GPU frequencies to minimize energy usage while ensuring real-time constraints are met. Experimental results reveal a quadratic escalation in power consumption as task set sizes grow, necessitating higher operational frequencies to meet computational demands. Our findings underscore DVFS as a critical enabler for energy-efficient GPU computing in large-scale platforms, offering actionable insights for autonomous systems, and data centers where tasks present associated deadlines. Dynamic Voltage and Frequency Scaling Realtime video surveillance Realtime Systems GPU Scheduling Energy Efficiency Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 17 May, 2026 Reviewers agreed at journal 13 May, 2026 Reviewers agreed at journal 13 May, 2026 Reviewers invited by journal 12 May, 2026 Editor invited by journal 12 May, 2026 Editor assigned by journal 20 Apr, 2026 Submission checks completed at journal 20 Apr, 2026 First submitted to journal 15 Apr, 2026 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9423012","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":623400956,"identity":"16e88716-8d74-438f-8427-95f2b038621c","order_by":0,"name":"Gamil Radman","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABAElEQVRIie3QMWuDQBjG8UcO7HKJ64kh/QoXXIV8lRPByaVLyRZL4CazN9/Cj3DhwC62Xd0acc0Ql5JCCzVZU67p1uH+4ws/HngBm+0f5t3kQh85m85fV0qdT+oX4heq7bCIQjSVuI7wJu5C1Gmcq4zjKgKVpMGd1M5DXvfqQ2I6bgQ5HA3Cyas02EhNCFmX27VE6DfC9QsDIU6RspHUrovnUo0k4nIgoAbiEu/9RChFttt+SSwHQvpPA6EukpDWKWPIoIcVwRuBwLTCKOL2cRFxziquJy9stqlbGUwMZP62E+rA2bL0Vl2/v49ux0+J7vcGcrGK0xf/AGw2m832U9/g7ljS04D1+QAAAABJRU5ErkJggg==","orcid":"","institution":"Imam Abdulrahman Bin Faisal University","correspondingAuthor":true,"prefix":"","firstName":"Gamil","middleName":"","lastName":"Radman","suffix":""},{"id":623400957,"identity":"f914d427-8ee3-4272-9a04-c642c9d91c18","order_by":1,"name":"Abdullah Alhussain","email":"","orcid":"","institution":"Imam Abdulrahman Bin Faisal University","correspondingAuthor":false,"prefix":"","firstName":"Abdullah","middleName":"","lastName":"Alhussain","suffix":""},{"id":623400958,"identity":"daac049a-ad24-441f-9a67-adbd04b5e2de","order_by":2,"name":"Nasro Min-Allah","email":"","orcid":"","institution":"Imam Abdulrahman Bin Faisal University","correspondingAuthor":false,"prefix":"","firstName":"Nasro","middleName":"","lastName":"Min-Allah","suffix":""}],"badges":[],"createdAt":"2026-04-15 07:09:44","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9423012/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9423012/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":107071223,"identity":"450eacea-015e-48e0-a93e-0cac09a10632","added_by":"auto","created_at":"2026-04-16 12:13:25","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":903397,"visible":true,"origin":"","legend":"","description":"","filename":"DVSGPUsAIDv3.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9423012/v1_covered_4235f35e-02d2-4162-997e-c2b8555adef2.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Impact of Dynamic Voltage on GPU Energy Consumption for Real-Time Systems","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"discover-artificial-intelligence","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"diai","sideBox":"Learn more about [Discover Artificial Intelligence](https://www.springer.com/44163)","snPcode":"","submissionUrl":"","title":"Discover Artificial Intelligence","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Dynamic Voltage and Frequency Scaling, Realtime video surveillance, Realtime Systems, GPU Scheduling, Energy Efficiency","lastPublishedDoi":"10.21203/rs.3.rs-9423012/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9423012/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eDynamic Voltage and Frequency Scaling (DVFS) has emerged as a crucial technique for balancing energy consumption and computational performance in CMOS-based systems. 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