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Adaptive Task Migration Policies for Thermal Control in MPSoCs

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VLSI 2010 Annual Symposium

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 105))

Abstract

In deep submicron circuits, high temperatures have created critical issues in reliability, timing, performance, coolings costs and leakage power. Task migration techniques have been proposed to manage efficiently the thermal distribution in multi-processor systems but at the cost of important performance penalties. While traditional techniques have focused on reducing the average temperature of the chip, they have not considered the effect that temperature gradients have in system reliability. In this work, we explore the benefits of thermal-aware task migration techniques for embedded multi-processor systems. We show the implementation issues of task migration policies on next generation architectural template of distributed memory multicore systems and we discuss the programmer’s implications. Built on top of this programming model, we propose several policies that are able to reduce the average temperature of the chip and the thermal gradients with a negligible performance overhead. With our techniques, hot spots and temperature gradients are decreased up to 30% with respect to state-of-the-art thermal management approaches.

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Notes

  1. 1.

    This is a common assumption because the thermal evolution is a slow diffusion process.

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Author information

Authors and Affiliations

  1. Complutense University, Madrid, Spain

    David Cuesta, Jose Ayala & Jose Hidalgo

  2. Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

    David Atienza

  3. Politecnico di Torino, Turin, Italy

    Andrea Acquaviva & Enrico Macii

Authors
  1. David Cuesta
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  2. Jose Ayala
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  3. Jose Hidalgo
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  4. David Atienza
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  5. Andrea Acquaviva
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  6. Enrico Macii
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Corresponding author

Correspondence to Andrea Acquaviva .

Editor information

Editors and Affiliations

  1. Messolonghi, Dept. Telecommunication Systems &, Technological Educational Institute of, National Road, Nafpaktos, 303 00, Greece

    Nikolaos Voros

  2. School of Electrical Engineering &, Computer Science, University of Central Florida, Central Florida Blvd. 4000, Orlando, 32816-2362, Florida, USA

    Amar Mukherjee

  3. , Informatics & MM, Technological Educational Institute of P, Rhga Feraiou, Pyrgos, 27100, Greece

    Nicolas Sklavos

  4. , Dept. of Computer Science and Technology, University of Peloponnese, Terma Karaiskaki, Tripolis, 22100, Greece

    Konstantinos Masselos

  5. , Institut für Technik der Informationsver, Karlsruhe Institute of Technology, Vinzenz-Priessnitzstr. 1, Karlsruhe, 76131, Germany

    Michael Huebner

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Cuesta, D., Ayala, J., Hidalgo, J., Atienza, D., Acquaviva, A., Macii, E. (2011). Adaptive Task Migration Policies for Thermal Control in MPSoCs. In: Voros, N., Mukherjee, A., Sklavos, N., Masselos, K., Huebner, M. (eds) VLSI 2010 Annual Symposium. Lecture Notes in Electrical Engineering, vol 105. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1488-5_6

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  • DOI: https://doi.org/10.1007/978-94-007-1488-5_6

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