On the Accuracy and Usefulness of Analytic Energy Models for Contemporary Multicore Processors

Conference contribution


Publication Details

Author(s): Hofmann J, Hager G, Fey D
Title edited volumes: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher: Springer International Publishing
Publishing place: Cham
Publication year: 2018
Volume: 10876 LNCS
Conference Proceedings Title: High Performance Computing: 33rd International Conference, ISC High Performance 2018
Pages range: 22-43
ISBN: 978-3-319-92040-5
ISSN: 1611-3349


Abstract

This paper presents refinements to the execution-cache-memory performance model and a previously published power model for multicore processors. The combination of both enables a very accurate prediction of performance and energy consumption of contemporary multicore processors as a function of relevant parameters such as number of active cores as well as core and Uncore frequencies. Model validation is performed on Intel Sandy Bridge-EP, Broadwell-EP, and AMD Epyc processors. Production-related variations in chip quality are demonstrated through a statistical analysis of the fit parameters obtained on one hundred Broadwell-EP CPUs of the same model. Insights from the models are used to explain the performance- and energy-related behavior of the processors for scalable as well as saturating (i.e., memory-bound) codes. In the process we demonstrate the models’ capability to identify optimal operating points with respect to highest performance, lowest energy-to-solution, and lowest energy-delay product and identify a set of best practices for energy-efficient execution.


FAU Authors / FAU Editors

Fey, Dietmar Prof. Dr.-Ing.
Lehrstuhl für Informatik 3 (Rechnerarchitektur)
Hager, Georg Dr.
Regionales Rechenzentrum Erlangen (RRZE)
Hofmann, Johannes
Lehrstuhl für Informatik 3 (Rechnerarchitektur)


How to cite

APA:
Hofmann, J., Hager, G., & Fey, D. (2018). On the Accuracy and Usefulness of Analytic Energy Models for Contemporary Multicore Processors. In High Performance Computing: 33rd International Conference, ISC High Performance 2018 (pp. 22-43). Frankfurt: Cham: Springer International Publishing.

MLA:
Hofmann, Johannes, Georg Hager, and Dietmar Fey. "On the Accuracy and Usefulness of Analytic Energy Models for Contemporary Multicore Processors." Proceedings of the High Performance Computing: 33rd International Conference, ISC High Performance 2018, Frankfurt Cham: Springer International Publishing, 2018. 22-43.

BibTeX: 

Last updated on 2019-22-02 at 10:53