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Domain knowledge specification for energy tuning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10240441" target="_blank" >RIV/61989100:27240/18:10240441 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/18:10240441

  • Result on the web

    <a href="https://onlinelibrary.wiley.com/doi/full/10.1002/cpe.4650" target="_blank" >https://onlinelibrary.wiley.com/doi/full/10.1002/cpe.4650</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1002/cpe.4650" target="_blank" >10.1002/cpe.4650</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Domain knowledge specification for energy tuning

  • Original language description

    To overcome the challenges of energy consumption of HPC systems, the European Union Horizon 2020 READEX (Runtime Exploitation of Application Dynamism for Energy-efficient Exascale computing) project uses an online auto-tuning approach to improve energy efficiency of HPC applications. The READEX methodology pre-computes optimal system configurations at design-time, such as the CPU frequency, for instances of program regions and switches at runtime to the configuration given in the tuning model when the region is executed. READEX goes beyond previous approaches by exploiting dynamic changes of a region&apos;s characteristics by leveraging region and characteristic specific system configurations. While the tool suite supports an automatic approach, specifying domain knowledge such as the structure and characteristics of the application and application tuning parameters can significantly help to create a more refined tuning model. This paper presents the means available for an application expert to provide domain knowledge and presents tuning results for some benchmarks.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • 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

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Concurrency Computation Practice and Experience

  • ISSN

    1532-0626

  • e-ISSN

  • Volume of the periodical

    31

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    15

  • Pages from-to

    "e4650"

  • UT code for WoS article

    000458902700001

  • EID of the result in the Scopus database

    2-s2.0-85050645154