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Multicore processor computing is not energy proportional: An opportunity for bi-objective optimization for energy and performance

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  • Khokhriakov, Semyon
  • Manumachu, Ravi Reddy
  • Lastovetsky, Alexey

Abstract

Energy proportionality is the key design goal followed by architects of multicore processors. One of its implications is that optimization of an application for performance will also optimize it for energy.

Suggested Citation

  • Khokhriakov, Semyon & Manumachu, Ravi Reddy & Lastovetsky, Alexey, 2020. "Multicore processor computing is not energy proportional: An opportunity for bi-objective optimization for energy and performance," Applied Energy, Elsevier, vol. 268(C).
    • Handle: RePEc:eee:appene:v:268:y:2020:i:c:s0306261920304694
    DOI: 10.1016/j.apenergy.2020.114957
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    References listed on IDEAS

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    1. Nicola Jones, 2018. "How to stop data centres from gobbling up the world’s electricity," Nature, Nature, vol. 561(7722), pages 163-166, September.
    2. Eduardo Camilo Inacio & Mario A.R. Dantas, 2014. "A survey into performance and energy efficiency in HPC, cloud and big data environments," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 14(4), pages 299-318.
    3. Anders S. G. Andrae & Tomas Edler, 2015. "On Global Electricity Usage of Communication Technology: Trends to 2030," Challenges, MDPI, vol. 6(1), pages 1-41, April.
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