Hofmann J, Hager G, Fey D (2018)
Publication Type: Conference contribution
Publication year: 2018
Publisher: Springer International Publishing
Edited Volumes: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
City/Town: Cham
Book Volume: 10876 LNCS
Pages Range: 22-43
Conference Proceedings Title: High Performance Computing: 33rd International Conference, ISC High Performance 2018
Event location: Frankfurt
ISBN: 978-3-319-92040-5
DOI: 10.1007/978-3-319-92040-5_2
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.
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: Download