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Reducing energy consumption using heterogeneous voltage frequency scaling of data-parallel applications for multicore systems

  • Published:2023-05 Issue: Volume:175 Page:121-133
  • ISSN:0743-7315
  • Container-title:Journal of Parallel and Distributed Computing
  • language:en
  • Short-container-title:Journal of Parallel and Distributed Computing

Author:

Bratek PawelORCID,Szustak LukaszORCID,Wyrzykowski Roman,Olas TomaszORCID

Funder

Ministerstwo Edukacji i Nauki

Narodowe Centrum Nauki

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference42 articles.

1. Performance-energy trade-off in CMPs with per-core DVFS;Abera,2018

2. Variation among processors under turbo boost in HPC systems;Acun,2016

3. Fine-grained energy efficiency using per-core DVFS with an adaptive runtime systems;Acun,2019

4. Heterogeneous voltage frequency scaling of data-parallel applications for energy saving on homogeneous multicore platforms;Bratek,2022

5. Software and DVFS tuning for performance and energy-efficiency on Intel KNL processors;Calore;J. Low Power Electron. Appl.,2018

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