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A Parameter Selection Process by Data Analysis for Tuning Multi-threaded Time-Stepping Algorithms

Titelangaben

Rauber, Thomas ; Rünger, Gudula:
A Parameter Selection Process by Data Analysis for Tuning Multi-threaded Time-Stepping Algorithms.
In: 2020 Seventh International Conference on Software Defined Systems (SDS). - Piscataway, NJ : IEEE , 2020 . - S. 43-50
ISBN 978-1-7281-7219-4
DOI: https://doi.org/10.1109/SDS49854.2020.9143911

Abstract

Many applications from science and engineering can be simulated by time-stepping algorithms. Due to a possibly large number of simulation time steps and an expensive loop body in each time step, the execution of such algorithms can be quite time consuming and may also require a high amount of energy and power for the computation. Execution time, energy, and power can vary for varying application specific and architecture specific parameters. Also, the lowest execution time does not necessarily leads to a low power consumption or energy consumption. In this article, we are concerned with the selection of specific parameter values which lead to a low time and/or energy and/or power consumption. Specifically, we propose an energy-aware parameter selection process that is the basis for a software-defined support of an energy and power efficient execution. The process includes a data gathering phase, a parameter selection phase based on the data sets and a parameter adaption phase at run-time combining data tabulation and data monitoring. A multi-threaded scientific algorithm solving a partial differential equation is chosen as an illustrating example.

Weitere Angaben

Publikationsform: Aufsatz in einem Buch
Begutachteter Beitrag: Ja
Keywords: energy consumption; time-stepping scientific applications; energy-aware parameter selection
Institutionen der Universität: Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Angewandte Informatik II > Lehrstuhl Angewandte Informatik II - Univ.-Prof. Dr. Thomas Rauber
Fakultäten
Fakultäten > Fakultät für Mathematik, Physik und Informatik
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Angewandte Informatik II
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik
Eingestellt am: 23 Okt 2020 10:31
Letzte Änderung: 23 Okt 2020 10:31
URI: https://eref.uni-bayreuth.de/id/eprint/58608