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Evaluation of DVFS and uncore frequency tuning under power capping on intel broadwell architecture

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F20%3A10244989" target="_blank" >RIV/61989100:27740/20:10244989 - isvavai.cz</a>

  • Result on the web

    <a href="http://ebooks.iospress.nl/publication/53972" target="_blank" >http://ebooks.iospress.nl/publication/53972</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3233/APC200093" target="_blank" >10.3233/APC200093</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evaluation of DVFS and uncore frequency tuning under power capping on intel broadwell architecture

  • Original language description

    In this paper we present an evaluation of the Intel Xeon Broadwell platform in the CINECA Galileo supercomputer when DVFS and UnCore Frequency (UCF) tuning is performed under the active power capping using RAPL powercap registers. This work is an extension of our previous work done under the H2020 READEX project which focused on a dynamic tuning of DVFS and UCF for complex HPC applications, but with no powercap limit enforced. Power capping is an essential technique that allows system administrators to maintain the power budget of an entire system or data center using either out-of-band management system or runtime systems such as GEOPM. In this paper we use two boundary workloads, Compute Bound Workload (CBW) and Memory Bound Workload (MBW) to show the behavior of the platform under power capping and potential for both energy and runtime savings when compared to the default CPU behavior. We show that DVFS and UCF tuning behave differently under the limited power budget. Our results show that if CPU has a limited power budget the proper tuning can provide both improved energy consumption as well as reduced runtime and that it is important to tune both DVFS and UCF. For MBW we can save up 22% for both runtime and energy when compared to default behavior under powercap. For CBW we can improve both performance, up to 9.4%, and energy consumption, up to 14.9%. (C) 2020 The authors and IOS Press.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/LM2018140" target="_blank" >LM2018140: e-Infrastructure CZ</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Advances in Parallel Computing. Volume 36

  • ISBN

    978-1-64368-070-5

  • ISSN

    0927-5452

  • e-ISSN

    1879-808X

  • Number of pages

    10

  • Pages from-to

    634-643

  • Publisher name

    IOS Press

  • Place of publication

    Amsterdam

  • Event location

    Praha

  • Event date

    Sep 10, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article