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    Model-Based Performance Prediction for Concurrent Software on Multicore Architectures

    Dissertations in Series (Dissertationen in Schriftenreihe)

    A Simulation-Based Approach

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    Author(s)
    Frank, Markus Kilian
    Collection
    AG Universitätsverlage
    Language
    English
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    Abstract
    Model-based performance prediction is a well-known concept to ensure the quality of software.Current approaches are based on a single-metric model, which leads to inaccurate predictions for modern architectures. This thesis presents a multi-strategies approach to extend performance prediction models to support multicore architectures.We implemented the strategies into Palladio and significantly increased the performance prediction power.
    URI
    https://library.oapen.org/handle/20.500.12657/57634
    Keywords
    Modellbasierte Performancevorhersage; Software Engineering; Multicore-Architekturen; parallele Entwurfsmuster; Model-based Performance Prediction; Multicore architectures; Parallel Design Patterns
    DOI
    10.5445/KSP/1000139935
    ISBN
    9783731511465
    Publisher
    KIT Scientific Publishing
    Publisher website
    https://www.ksp.kit.edu/index.php?link=shop&sort=all
    Publication date and place
    2022
    Series
    The Karlsruhe Series on Software Design and Quality, 34
    Classification
    Maths for computer scientists
    Pages
    400
    Rights
    https://creativecommons.org/licenses/by-sa/4.0/
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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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