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The ANTAREX tool flow for monitoring and autotuning energy efficient HPC systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F18%3A10239819" target="_blank" >RIV/61989100:27740/18:10239819 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8344645" target="_blank" >https://ieeexplore.ieee.org/document/8344645</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SAMOS.2017.8344645" target="_blank" >10.1109/SAMOS.2017.8344645</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The ANTAREX tool flow for monitoring and autotuning energy efficient HPC systems

  • Original language description

    Designing and optimizing HPC applications are difficult and complex tasks, which require mastering specialized languages and tools for performance tuning. As this is incompatible with the current trend to open HPC infrastructures to a wider range of users, the availability of more sophisticated programming languages and tools to assist and automate the design stages is crucial to provide smoothly migration paths towards novel heterogeneous HPC platforms. The ANTAREX project intends to address these issues by providing a tool flow, a Domain Specific Launguage and APIs to provide application&apos;s adaptivity and to runtime manage and autotune applications for heterogeneous HPC systems. Our DSL provides a separation of concerns, where analysis, runtime adaptivity, performance tuning and energy strategies are specified separately from the application functionalities with the goal to increase productivity, significantly reduce time to solution, while making possible the deployment of substantially improved implementations. This paper presents the ANTAREX tool flow and shows the impact of optimization strategies in the context of one of the ANTAREX use cases related to personalized drug design. We show how simple strategies, not devised by typical compilers, can substantially speedup the execution and reduce energy consumption. (C) 2017 IEEE.

  • 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

  • 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

  • Article name in the collection

    Proceedings - 2017 17th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2017

  • ISBN

    978-1-5386-3437-0

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    9

  • Pages from-to

    308-316

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Samos

  • Event date

    Jul 16, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article