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Introduction to Performance and Energy Efficiency Analysis

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10249845" target="_blank" >RIV/61989100:27740/22:10249845 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://events.it4i.cz/event/133/" target="_blank" >https://events.it4i.cz/event/133/</a>

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Introduction to Performance and Energy Efficiency Analysis

  • Popis výsledku v původním jazyce

    With the petering-out of Moore&apos;s law and the end of Dennard&apos;s scaling, the pace dictated on the performance increase of High Performance Computing (HPC) Systems among generations has led to power constrained architectures and even higher importance of the efficient utilization of the computation resources than before. In addition, power consumption represents a significant cost factor in the overall HPC system economy. For those reasons in recent years, researchers, supercomputing centres and major vendors have developed new tools and methodologies to measure and optimise the energy consumption of large scale high performance system installation. The well-established performance analysis tools are continuously adapted and enhanced to fit the specifics of the emerging architectures. These tools can provide an in-depth view on the application behaviour and support the decisions in the energy efficiency aspects. A robust performance analysis methodology can guide the developers through the various performance metrics to identify the fundamental causes of the performance inefficiencies of their application, which can be exploited by the energy-efficiency runtime systems. The course offered an introduction to the fundamental concepts of performance, power consumption, and energy efficiency in HPC systems. Then it focused on the performance analysis process and methodology developed during the POP project, followed by the mechanisms that today&apos;s computing elements and systems provided in terms of monitoring and control of power and energy dissipation. Finally, it introduced and gave hands-on sessions for a set of tools for performance analysis as well as reducing the energy consumption in HPC devices. The course was organised into two main sessions, driving the audience through the performance analysis workflow including the basics of the POP methodology, the physical and engineering principles underlying power consumption in supercomputing systems, up to the practical usage of state-of-the-art tools for monitoring and controlling the energy efficiency of parallel applications. The tools that were covered are Extrae, Paraver, Basic Analysis (all BSC), MSR-SAFE (LLNL), MERIC (IT4I).

  • Název v anglickém jazyce

    Introduction to Performance and Energy Efficiency Analysis

  • Popis výsledku anglicky

    With the petering-out of Moore&apos;s law and the end of Dennard&apos;s scaling, the pace dictated on the performance increase of High Performance Computing (HPC) Systems among generations has led to power constrained architectures and even higher importance of the efficient utilization of the computation resources than before. In addition, power consumption represents a significant cost factor in the overall HPC system economy. For those reasons in recent years, researchers, supercomputing centres and major vendors have developed new tools and methodologies to measure and optimise the energy consumption of large scale high performance system installation. The well-established performance analysis tools are continuously adapted and enhanced to fit the specifics of the emerging architectures. These tools can provide an in-depth view on the application behaviour and support the decisions in the energy efficiency aspects. A robust performance analysis methodology can guide the developers through the various performance metrics to identify the fundamental causes of the performance inefficiencies of their application, which can be exploited by the energy-efficiency runtime systems. The course offered an introduction to the fundamental concepts of performance, power consumption, and energy efficiency in HPC systems. Then it focused on the performance analysis process and methodology developed during the POP project, followed by the mechanisms that today&apos;s computing elements and systems provided in terms of monitoring and control of power and energy dissipation. Finally, it introduced and gave hands-on sessions for a set of tools for performance analysis as well as reducing the energy consumption in HPC devices. The course was organised into two main sessions, driving the audience through the performance analysis workflow including the basics of the POP methodology, the physical and engineering principles underlying power consumption in supercomputing systems, up to the practical usage of state-of-the-art tools for monitoring and controlling the energy efficiency of parallel applications. The tools that were covered are Extrae, Paraver, Basic Analysis (all BSC), MSR-SAFE (LLNL), MERIC (IT4I).

Klasifikace

  • Druh

    O - Ostatní výsledky

  • CEP obor

  • OECD FORD obor

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

Návaznosti výsledku

  • Projekt

  • Návaznosti

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Ostatní

  • Rok uplatnění

    2022

  • Kód důvěrnosti údajů

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