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European Conference on Parallel Processing

Euro-Par 2012: Euro-Par 2012 Parallel Processing pp 54–64Cite as

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Energy Consumption Modeling for Hybrid Computing

Energy Consumption Modeling for Hybrid Computing

  • Ami Marowka19 
  • Conference paper
  • 2971 Accesses

  • 5 Citations

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7484)

Abstract

Energy efficiency is increasingly critical for embedded systems and mobile devices, where their continuous operation is based on battery life. In order to increase energy efficiency, chip manufacturers are developing heterogeneous CMP chips.

We present analytical models based on an energy consumption metric to analyze the different performance gains and energy consumption of various architectural design choices for hybrid CPU-GPU chips. We also analyzed the power consumption implications of different processing modes and various chip configurations. The analysis shows clearly that greater parallelism is the most important factor affecting energy saving.

Keywords

  • Analytical model
  • CPU-GPU architecture
  • Performance
  • Power estimation
  • Energy

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Author information

Authors and Affiliations

  1. Department of Computer Science, Bar-Ilan University, Israel

    Ami Marowka

Authors
  1. Ami Marowka
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Editor information

Editors and Affiliations

  1. University of Patras, Computer Technology Institute and Press “Diophantus”,, N. Kazantzaki, 26504, Rio, Greece

    Christos Kaklamanis

  2. University of Patras, University Building B, 26504, Rio, Greece

    Theodore Papatheodorou

  3. Computer Technology Institute and Press “Diophantus”, University of Patras, N. Kazantzaki, 26504, Rio, Greece

    Paul G. Spirakis

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© 2012 Springer-Verlag Berlin Heidelberg

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Marowka, A. (2012). Energy Consumption Modeling for Hybrid Computing. In: Kaklamanis, C., Papatheodorou, T., Spirakis, P.G. (eds) Euro-Par 2012 Parallel Processing. Euro-Par 2012. Lecture Notes in Computer Science, vol 7484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32820-6_8

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  • DOI: https://doi.org/10.1007/978-3-642-32820-6_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32819-0

  • Online ISBN: 978-3-642-32820-6

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