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Saving Energy without Defying Deadlines on Mobile GPU-based Heterogeneous Systems
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology. (ESLAB)
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology. (ESLAB)
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology. (ESLAB)
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2014 (English)In: 2014 International Conference on Hardware/Software Codesign and System Synthesis, Association for Computing Machinery (ACM), 2014Conference paper, Published paper (Refereed)
Abstract [en]

With the advent of low-power programmable compute cores based on GPUs, GPU-equipped heterogeneous platforms are becoming common in a wide spectrum of industries including safety-critical domains like the automotive industry. While the suitability of GPUs for throughput oriented applications is well-accepted, their applicability for real-time applications remains an open issue. Moreover, in mobile/embedded systems, energy-efficient computing is a major concern and yet, there has been no systematic study on the energy savings that GPUs may potentially provide. In this paper, we propose an approach to utilize both the GPU and the CPU in a heterogeneous fashion to meet the deadlines of a real-time application while ensuring that we maximize the energy savings. We note that GPUs are inherently built to maximize the throughput and this poses a major challenge when deadlines must be satisfied. The problem becomes more acute when we consider the fact that GPUs are more energy efficient than CPUs and thus, a naive approach that is based on maximizing GPU utilization might easily lead to infeasible solutions from a deadline perspective.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2014.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-112689DOI: 10.1145/2656075.2656097ISBN: 978-1-4503-3051-0 (print)OAI: oai:DiVA.org:liu-112689DiVA: diva2:769462
Conference
International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS 2014), New Delhi, India, October 12-17, 2014
Available from: 2014-12-08 Created: 2014-12-08 Last updated: 2014-12-12Bibliographically approved

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Maghazeh, ArianBordoloi, Unmesh D.Horga, AdrianEles, PetruPeng, Zebo

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
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  • sv-SE
  • Other locale
More languages
Output format
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