Experimental Workflow for Energy and Temperature Profiling on HPC Systems - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2021

Experimental Workflow for Energy and Temperature Profiling on HPC Systems

Abstract

Despite recent advances in improving the performance of high performance computing (HPC) and distributed systems, power dissipation and thermal cooling challenges persist, impacting their total cost of ownership. Making HPC systems more energy and thermal efficient will require understanding of individual power dissipation and temperature contributions of multiple hardware system components and their accompanying software. In this work, we present an experimental workflow for energy and temperature profiling on systems running parallel applications. It allows full and dynamic control over the execution of applications for the entire frequency range. Through its use, we show that the energy response to frequency scaling is highly dependent on the workload characteristics and it is convex in nature with an optimal frequency point. During the course of our experimentation, we encountered a non-intuitive finding, where we observed that the tested low-power processor is consuming more power on average than the standard processor.
Fichier principal
Vignette du fichier
ISCC2021-hal.pdf (217.35 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-03335184 , version 1 (06-09-2021)

Identifiers

Cite

Kameswar Rao Vaddina, Laurent Lefèvre, Anne-Cécile Orgerie. Experimental Workflow for Energy and Temperature Profiling on HPC Systems. ISCC 2021 - IEEE Symposium on Computers and Communications, Sep 2021, Athens, Greece. pp.1-7, ⟨10.1109/ISCC53001.2021.9631413⟩. ⟨hal-03335184⟩
119 View
254 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More