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Euro-Par 2022: Parallel Processing

28th International Conference on Parallel and Distributed Computing, Glasgow, UK, August 22–26, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. José Cano

    1. University of Glasgow, Glasgow, UK

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    You can also search for this editor in PubMed   Google Scholar

  2. Phil Trinder

    1. University of Glasgow, Glasgow, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13440)

Included in the following conference series:

Conference proceedings info: Euro-Par 2022.

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Table of contents (25 papers)

  1. Front Matter

    Pages i-xxxiii
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  2. Compilers, Tools, and Environments

    1. Front Matter

      Pages 1-1
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    2. CrossDBT: An LLVM-Based User-Level Dynamic Binary Translation Emulator

      • Wei Li, Xiaohui Luo, Yiran Zhang, Qingkai Meng, Fengyuan Ren
      Pages 3-18

    3. MARTINI: The Little Match and Replace Tool for Automatic Application Rewriting with Code Examples

      • Alister Johnson, Camille Coti, Allen D. Malony, Johannes Doerfert
      Pages 19-34

    4. Accurate Fork-Join Profiling on the Java Virtual Machine

      • Matteo Basso, Eduardo Rosales, Filippo Schiavio, Andrea Rosà, Walter Binder
      Pages 35-50

  3. Performance and Power Modeling, Prediction and Evaluation

    1. Front Matter

      Pages 51-51
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    2. Characterization of Different User Behaviors for Demand Response in Data Centers

      • Maël Madon, Georges Da Costa, Jean-Marc Pierson
      Pages 53-68

    3. On-the-Fly Calculation of Model Factors for Multi-paradigm Applications

      • Joachim Protze, Fabian Orland, Kingshuk Haldar, Thore Koritzius, Christian Terboven
      Pages 69-84

    4. Relative Performance Projection on Arm Architectures

      • Clément Gavoille, Hugo Taboada, Patrick Carribault, Fabrice Dupros, Brice Goglin, Emmanuel Jeannot
      Pages 85-99

  4. Scheduling and Load Balancing

    1. Front Matter

      Pages 101-101
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    2. Exploring Scheduling Algorithms for Parallel Task Graphs: A Modern Game Engine Case Study

      • Mustapha Regragui, Baptiste Coye, Laércio L. Pilla, Raymond Namyst, Denis Barthou
      Pages 103-118

    3. Decentralized Online Scheduling of Malleable NP-hard Jobs

      • Peter Sanders, Dominik Schreiber
      Pages 119-135Open Access

    4. A Bi-Criteria FPTAS for Scheduling with Memory Constraints on Graphs with Bounded Tree-Width

      • Eric Angel, Sébastien Morais, Damien Regnault
      Pages 136-151

  5. Data Management, Analytics, and Machine Learning

    1. Front Matter

      Pages 153-153
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    2. mCAP: Memory-Centric Partitioning for Large-Scale Pipeline-Parallel DNN Training

      • Henk Dreuning, Henri E. Bal, Rob V. van Nieuwpoort
      Pages 155-170

    3. Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models

      • Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini
      Pages 171-185

    4. Accelerating Parallel Operation for Compacting Selected Elements on GPUs

      • Johannes Fett, Urs Kober, Christian Schwarz, Dirk Habich, Wolfgang Lehner
      Pages 186-200

  6. Cluster and Cloud Computing

    1. Front Matter

      Pages 201-201
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    2. A Methodology to Scale Containerized HPC Infrastructures in the Cloud

      • Nicolas Greneche, Tarek Menouer, Christophe Cérin, Olivier Richard
      Pages 203-217

    3. Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads

      • Philipp Wiesner, Dominik Scheinert, Thorsten Wittkopp, Lauritz Thamsen, Odej Kao
      Pages 218-232
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Other volumes

  1. Euro-Par 2022: Parallel Processing

  2. Euro-Par 2022: Parallel Processing Workshops

Keywords

About this book

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.

 

Editors and Affiliations

  • University of Glasgow, Glasgow, UK

    José Cano, Phil Trinder

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