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Euro-Par 2019: Parallel Processing

25th International Conference on Parallel and Distributed Computing, Göttingen, Germany, August 26–30, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Ramin Yahyapour

    1. Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen, Georg-August-Universität Göttingen, Göttingen, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11725)

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

Included in the following conference series:

Conference proceedings info: Euro-Par 2019.

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Table of contents (36 papers)

  1. Front Matter

    Pages i-xxviii
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  2. Support Tools and Environments

    1. Front Matter

      Pages 1-1
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    2. Online Fault Classification in HPC Systems Through Machine Learning

      • Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
      Pages 3-16

    3. Accelerating Data-Dependence Profiling with Static Hints

      • Mohammad Norouzi, Qamar Ilias, Ali Jannesari, Felix Wolf
      Pages 17-28

    4. Multi-valued Expression Analysis for Collective Checking

      • Pierre Huchant, Emmanuelle Saillard, Denis Barthou, Patrick Carribault
      Pages 29-43

  3. Performance and Power Modeling, Prediction and Evaluation

    1. Front Matter

      Pages 45-45
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    2. Towards Portable Online Prediction of Network Utilization Using MPI-Level Monitoring

      • Shu-Mei Tseng, Bogdan Nicolae, George Bosilca, Emmanuel Jeannot, Aparna Chandramowlishwaran, Franck Cappello
      Pages 47-60

    3. A Comparison of Random Task Graph Generation Methods for Scheduling Problems

      • Louis-Claude Canon, Mohamad El Sayah, Pierre-Cyrille Héam
      Pages 61-73

    4. Hardware Counters’ Space Reduction for Code Region Characterization

      • Jordi Alcaraz, Anna Sikora, Eduardo César
      Pages 74-86

    5. Combining Checkpointing and Data Compression to Accelerate Adjoint-Based Optimization Problems

      • Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, Paul Hovland, Gerard Gorman
      Pages 87-100

  4. Scheduling and Load Balancing

    1. Front Matter

      Pages 101-101
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    2. Linear Time Algorithms for Multiple Cluster Scheduling and Multiple Strip Packing

      • Klaus Jansen, Malin Rau
      Pages 103-116

    3. Scheduling on Two Unbounded Resources with Communication Costs

      • Massinissa Ait Aba, Alix Munier Kordon, Guillaume Pallez (Aupy)
      Pages 117-128

    4. Improving Fairness in a Large Scale HTC System Through Workload Analysis and Simulation

      • Frédéric Azevedo, Dalibor Klusáček, Frédéric Suter
      Pages 129-141

    5. Toggle: Contention-Aware Task Scheduler for Concurrent Hierarchical Operations

      • Saurabh Kalikar, Rupesh Nasre
      Pages 142-155

    6. Load-Balancing for Parallel Delaunay Triangulations

      • Daniel Funke, Peter Sanders, Vincent Winkler
      Pages 156-169

    7. Design-Space Exploration with Multi-Objective Resource-Aware Modulo Scheduling

      • Julian Oppermann, Patrick Sittel, Martin Kumm, Melanie Reuter-Oppermann, Andreas Koch, Oliver Sinnen
      Pages 170-183

    8. Implementing YewPar: A Framework for Parallel Tree Search

      • Blair Archibald, Patrick Maier, Robert Stewart, Phil Trinder
      Pages 184-196

    9. PLB-HAC: Dynamic Load-Balancing for Heterogeneous Accelerator Clusters

      • Luis Sant’Ana, Daniel Cordeiro, Raphael Y. de Camargo
      Pages 197-209

  5. Data Management, Analytics and Deep Learning

    1. Front Matter

      Pages 211-211
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Other volumes

  1. Euro-Par 2019: Parallel Processing

  2. Euro-Par 2019: Parallel Processing Workshops

Keywords

About this book

This book constitutes the proceedings of the 25th International Conference on Parallel and Distributed Computing, Euro-Par 2019, held in Göttingen, Germany, in August 2019.

The 36 full papers presented in this volume were carefully reviewed and selected from 142 submissions. They deal with parallel and distributed computing in general, focusing on support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high performance architectures and compilers; data management, analytics and deep learning; cluster and cloud computing; distributed systems and algorithms; parallel and distributed programming, interfaces, and languages; multicore and manycore parallelism; theory and algorithms for parallel computation and networking; parallel numerical methods and applications; accelerator computing; algorithms and systems for bioinformatics; and algorithms and systems for digital humanities.  

Editors and Affiliations

  • Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen, Georg-August-Universität Göttingen, Göttingen, Germany

    Ramin Yahyapour

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