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SAVE: Towards Efficient Resource Management in Heterogeneous System Architectures

  • G. Durelli
  • M. Coppola
  • K. Djafarian
  • G. Kornaros
  • A. Miele
  • M. Paolino
  • Oliver Pell
  • Christian Plessl
  • M. D. Santambrogio
  • C. Bolchini
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8405)

Abstract

The increasing availability of different kinds of processing resources in heterogeneous system architectures associated with today’s fast-changing, unpredictable workloads has propelled an interest towards systems able to dynamically and autonomously adapt how computing resources are exploited to optimize a given goal. Self-adaptiveness and hardware-assisted virtualization are the two key-enabling technologies for this kind of architectures, to allow the efficient exploitation of the available resources based on the current working context. The SAVE project will develop HW/SW/OS components that allow for deciding at runtime the mapping of the computation kernels on the appropriate type of resource, based on the current system context and requirements.

Keywords

Device Driver Heterogeneous Computing Host Processor Virtual Open System Embed System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    EU FP7 project SAVE, http://www.fp7-save.eu
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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • G. Durelli
    • 1
  • M. Coppola
    • 2
  • K. Djafarian
    • 3
  • G. Kornaros
    • 4
  • A. Miele
    • 1
  • M. Paolino
    • 5
  • Oliver Pell
    • 6
  • Christian Plessl
    • 7
  • M. D. Santambrogio
    • 1
  • C. Bolchini
    • 1
  1. 1.Politecnico di MilanoItaly
  2. 2.STMicroelectronicsSwitzerland
  3. 3.ARMUK
  4. 4.Technological Educational Institute of CreteGreece
  5. 5.Virtual Open SystemsFrance
  6. 6.Maxeler TechnologiesUK
  7. 7.University of PaderbornGermany

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