direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

Publications

MEMPower: Data-Aware GPU Memory Power Model
Citation key 10.1007/978-3-030-18656-2_15
Author Lucas, Jan and Juurlink, Ben
Title of Book Architecture of Computing Systems – ARCS 2019
Pages 195–207
Year 2019
ISBN 978-3-030-18656-2
Address Cham
Editor Schoeberl, Martin and Hochberger, Christian and Uhrig, Sascha and Brehm, J├╝rgen and Pionteck, Thilo
Publisher Springer International Publishing
Abstract This paper presents the MEMPower power model. MEMPower is a detailed empirical power model for GPU memory access. It models the data dependent energy consumption as well as individual core specific differences. We explain how the model was calibrated using special micro benchmarks as well as a high-resolution power measurement testbed. A novel technique to identify the number of memory channels and the memory channel of a specific address is presented. Our results show significant differences in the access energy of specific GPU cores, while the access energy of the different memory channels from the same GPU cores is almost identical. MEMPower is able to model these differences and provide good predictions of the access energy for specific memory accesses.
Download Bibtex entry

Older Publications

Further Publications of Prof. Juurlink  are here available.

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Auxiliary Functions