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Euro-Par 2018: Parallel Processing

24th International Conference on Parallel and Distributed Computing, Turin, Italy, August 27 - 31, 2018, Proceedings

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Marco Aldinucci

    1. Department of Computer Science, University of Torino, Torino, Italy

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  2. Luca Padovani

    1. Department of Computer Science, University of Torino, Torino, Italy

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  3. Massimo Torquati

    1. Department of Computer Science, University of Pisa, Pisa, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11014)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: Euro-Par 2018.

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Table of contents (58 papers)

  1. Front Matter

    Pages I-XLIV
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  2. Support Tools and Environments

    1. Front Matter

      Pages 1-1
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    2. Automatic Detection of Synchronization Errors in Codes that Target the Open Community Runtime

      • Jiri Dokulil, Jana Katreniakova
      Pages 3-15

    3. A Methodology for Performance Analysis of Applications Using Multi-layer I/O

      • Ronny Tschüter, Christian Herold, Bert Wesarg, Matthias Weber
      Pages 16-30

    4. Runtime Determinacy Race Detection for OpenMP Tasks

      • Hassan Salehe Matar, Didem Unat
      Pages 31-45

    5. Estimating the Impact of External Interference on Application Performance

      • Aamer Shah, Matthias Müller, Felix Wolf
      Pages 46-58

    6. GT-Race: Graph Traversal Based Data Race Detection for Asynchronous Many-Task Parallelism

      • Lechen Yu, Vivek Sarkar
      Pages 59-73

  3. Performance and Power Modeling, Prediction and Evaluation

    1. Front Matter

      Pages 75-75
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    2. Reducing GPU Register File Energy

      • Vishwesh Jatala, Jayvant Anantpur, Amey Karkare
      Pages 77-91

    3. Taxonomist: Application Detection Through Rich Monitoring Data

      • Emre Ates, Ozan Tuncer, Ata Turk, Vitus J. Leung, Jim Brandt, Manuel Egele et al.
      Pages 92-105

    4. Diagnosing Highly-Parallel OpenMP Programs with Aggregated Grain Graphs

      • Nico Reissmann, Ananya Muddukrishna
      Pages 106-119

    5. Characterization of Smartphone Governor Strategies

      • Sarbartha Banerjee, Lizy Kurian John
      Pages 120-134

    6. HPC Benchmarking: Scaling Right and Looking Beyond the Average

      • Milan Radulovic, Kazi Asifuzzaman, Paul Carpenter, Petar Radojković, Eduard Ayguadé
      Pages 135-146

    7. Combined Vertical and Horizontal Autoscaling Through Model Predictive Control

      • Emilio Incerto, Mirco Tribastone, Catia Trubiani
      Pages 147-159

  4. Scheduling and Load Balancing

    1. Front Matter

      Pages 161-161
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    2. Early Termination of Failed HPC Jobs Through Machine and Deep Learning

      • MichaÅ‚ ZasadziÅ„ski, Victor Muntés-Mulero, Marc Solé, David Carrera, Thomas Ludwig
      Pages 163-177

    3. Peacock: Probe-Based Scheduling of Jobs by Rotating Between Elastic Queues

      • Mansour Khelghatdoust, Vincent Gramoli
      Pages 178-191

    4. Online Scheduling of Task Graphs on Hybrid Platforms

      • Louis-Claude Canon, Loris Marchal, Bertrand Simon, Frédéric Vivien
      Pages 192-204

    5. Interference-Aware Scheduling Using Geometric Constraints

      • Raphaël Bleuse, Konstantinos Dogeas, Giorgio Lucarelli, Grégory Mounié, Denis Trystram
      Pages 205-217

    6. Resource-Efficient Execution of Conditional Parallel Real-Time Tasks

      • Sanjoy Baruah
      Pages 218-231
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Other volumes

  1. Euro-Par 2018: Parallel Processing

  2. Euro-Par 2018: Parallel Processing Workshops

Keywords

About this book

This book constitutes the proceedings of the 24th International Conference on Parallel and Distributed Computing, Euro-Par 2018, held in Turin, Italy, in August 2018. The 57 full papers presented in this volume were carefully reviewed and selected from 194 submissions. They were organized in topical sections named: support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high performance architecutres and compilers; parallel and distributed data management and analytics; cluster and cloud computing; distributed systems and algorithms; parallel and distributed programming, interfaces, and languages; multicore and manycore methods and tools; theory and algorithms for parallel computation and networking; parallel numerical methods and applications; and accelerator computing for advanced applications. 

Editors and Affiliations

  • Department of Computer Science, University of Torino, Torino, Italy

    Marco Aldinucci, Luca Padovani

  • Department of Computer Science, University of Pisa, Pisa, Italy

    Massimo Torquati

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