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Dynamic Self-Rescheduling of Tasks over a Heterogeneous Platform
Fraunhofer IGD / Technische, Universität Darmstadt, Germany.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0003-4655-8889
Electrical Engineering Department, Federal University of Rio Grande do Sul, Brazil.
Informatics Institute, Federal University of Rio Grande do Sul, Brazil.
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2008 (English)In: Proceedings of the 2008 International Conference on Reconfigurable Computing and FPGAs, Los Alamitos, Calif.: IEEE Computer Society, 2008, p. 253-258Conference paper, Published paper (Refereed)
Abstract [en]

Modern applications require powerful high-performance platforms to deal with many different algorithms that make use of massive calculations. At the same time, low-cost and high-performance specific hardware (e.g., GPU, PPU) are rising and the CPUs turned to multiple cores, characterizing together an interesting and powerful heterogeneous execution platform. Therefore, self-adaptive computing is a potential paradigm for those scenarios as it can provide flexibility to explore the computational resources on heterogeneous cluster attached to a high-performance computer system platform. As the first step towards a run-time reschedule load-balancing framework targeting that kind of platform, application time requirements and its crosscutting behavior play an important role for task allocation decisions. This paper presents a strategy for self-reallocation of specific tasks, including dynamic created ones, using aspect-oriented paradigms to address non-functional application timing constraints in the design phase. Additionally, as a case study, a special attention on Radar Image Processing will be given in the context of a surveillance system based on Unmanned Aerial Vehicles (UAV).

Place, publisher, year, edition, pages
Los Alamitos, Calif.: IEEE Computer Society, 2008. p. 253-258
Keywords [en]
Application software, Digital signal processing, Field programmable gate arrays, Hardware, Radar imaging, Runtime, Signal processing algorithms, Timing, Unmanned aerial vehicles, Vehicle dynamics
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hh:diva-14687DOI: 10.1109/ReConFig.2008.69Scopus ID: 2-s2.0-62349129198ISBN: 978-0-7695-3474-9 (print)OAI: oai:DiVA.org:hh-14687DiVA, id: diva2:408010
Conference
2008 International Conference on Reconfigurable Computing and FPGAs (ReConFig 2008), 3-5 December 2008, Cancun, Mexico
Available from: 2011-04-01 Created: 2011-04-01 Last updated: 2018-03-23Bibliographically approved

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Publisher's full textScopushttp://portal.acm.org/citation.cfm?id=1494647.1495213

Authority records BETA

Freitas, Edison PignatonLarsson, Tony

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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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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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