Description

Book Synopsis
This book constitutes the proceedings of the 33rd International Conference on Parallel and Distributed Computing, Euro-Par 2022, held in GLasgow, UK, in August 2022.

The 25 full papers presented in this volume were carefully reviewed and selected from 102 submissions. The conference Euro-Par 2022 covers all aspects of parallel and distributed computing, ranging from theory to practice, scaling from the smallest

to the largest parallel and distributed systems, from fundamental computational problems and models to full-fledged applications, from architecture and interface design and implementation to tools, infrastructures and applications.



Table of Contents
Compilers, Tools and Environments.- Performance and Power Modeling, Prediction and Evaluation.- Scheduling and Load Balancing.- Data Management, Analytics and Machine Learning.- Cluster and Cloud Computing.- Theory and Algorithms for Parallel and Distributed Processing.- Parallel and Distributed Programming, Interfaces, and Languages.- Multicore and Manycore Parallelism.- Parallel Numerical Methods and Applications.

Euro-Par 2022: Parallel Processing: 28th International Conference on Parallel and Distributed Computing, Glasgow, UK, August 22–26, 2022, Proceedings

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A Paperback by José Cano, Phil Trinder

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    View other formats and editions of Euro-Par 2022: Parallel Processing: 28th International Conference on Parallel and Distributed Computing, Glasgow, UK, August 22–26, 2022, Proceedings by José Cano

    Publisher: Springer International Publishing AG
    Publication Date: 01/08/2022
    ISBN13: 9783031125966, 978-3031125966
    ISBN10: 3031125967

    Description

    Book Synopsis
    This book constitutes the proceedings of the 33rd International Conference on Parallel and Distributed Computing, Euro-Par 2022, held in GLasgow, UK, in August 2022.

    The 25 full papers presented in this volume were carefully reviewed and selected from 102 submissions. The conference Euro-Par 2022 covers all aspects of parallel and distributed computing, ranging from theory to practice, scaling from the smallest

    to the largest parallel and distributed systems, from fundamental computational problems and models to full-fledged applications, from architecture and interface design and implementation to tools, infrastructures and applications.



    Table of Contents
    Compilers, Tools and Environments.- Performance and Power Modeling, Prediction and Evaluation.- Scheduling and Load Balancing.- Data Management, Analytics and Machine Learning.- Cluster and Cloud Computing.- Theory and Algorithms for Parallel and Distributed Processing.- Parallel and Distributed Programming, Interfaces, and Languages.- Multicore and Manycore Parallelism.- Parallel Numerical Methods and Applications.

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