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Model-based optimization of the energy efficiency of multi-threaded applications

Title data

Rauber, Thomas ; Rünger, Gudula ; Stachowski, Matthias:
Model-based optimization of the energy efficiency of multi-threaded applications.
In: Sustainable Computing. Vol. 22 (2019) . - pp. 44-61.
ISSN 2210-5379
DOI: https://doi.org/10.1016/j.suscom.2019.01.022

Abstract in another language

Energy efficiency is considered to be a critical concern for modern hardware and a variety of hardware features have been developed to improve the energy balance for executing applications. This article focuses on the dynamic voltage and frequency scaling (DVFS) technique, which is available for many platforms. Analytical models for capturing the energy efficiency are considered and it is investigated whether such an analytical model is able to support an a priori selection of the operational frequency that leads to a near optimal energy consumption for the application code to be executed. Furthermore, the possible influence of the number of threads executing a multi-threaded application is taken into account. Models for the energy-delay product (EDP) weighting the power against the square of execution time are also covered. The experimental evaluation is performed on the basis of the multi-threaded PARSEC and SPLASH-2 benchmarks executed on four different recent multi-cores. The investigations show that the operational frequency selected according to the analytical models leads to an energy consumption that is near the minimum energy consumption over all frequencies available.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science II > Chair Applied Computer Science II - Univ.-Prof. Dr. Thomas Rauber
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 23 Oct 2020 08:31
Last Modified: 23 Oct 2020 08:31
URI: https://eref.uni-bayreuth.de/id/eprint/57919