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Euro-Par 2015: Parallel Processing

21st International Conference on Parallel and Distributed Computing, Vienna, Austria, August 24-28, 2015, Proceedings

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Jesper Larsson Träff

    1. Vienna University of Technology, Vienna, Austria

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  2. Sascha Hunold

    1. Vienna University of Technology, Vienna, Austria

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  3. Francesco Versaci

    1. Vienna University of Technology, Vienna, Austria

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9233)

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

Included in the following conference series:

Conference proceedings info: Euro-Par 2015.

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Table of contents (53 papers)

  1. Front Matter

    Pages I-XXXV
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  2. Invited Papers

    1. Front Matter

      Pages 1-1
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    2. Concurrent Systems: Hybrid Object Implementations and Abortable Objects

      • Michel Raynal
      Pages 3-15

    3. Runtime-Aware Architectures

      • Marc Casas, Miquel Moreto, Lluc Alvarez, Emilio Castillo, Dimitrios Chasapis, Timothy Hayes et al.
      Pages 16-27

  3. Support Tools and Environments

    1. Front Matter

      Pages 29-29
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    2. MPI Thread-Level Checking for MPI+OpenMP Applications

      • Emmanuelle Saillard, Patrick Carribault, Denis Barthou
      Pages 31-42

    3. Event-Action Mappings for Parallel Tools Infrastructures

      • Tobias Hilbrich, Martin Schulz, Holger Brunst, Joachim Protze, Bronis R. de Supinski, Matthias S. Müller
      Pages 43-54

  4. Performance Modeling, Prediction and Evaluation

    1. Front Matter

      Pages 55-55
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    2. Low-Overhead Detection of Memory Access Patterns and Their Time Evolution

      • Harald Servat, Germán Llort, Juan González, Judit Giménez, Jesús Labarta
      Pages 57-69

    3. Automatic On-Line Detection of MPI Application Structure with Event Flow Graphs

      • Xavier Aguilar, Karl Fürlinger, Erwin Laure
      Pages 70-81

    4. Online Automated Reliability Classification of Queueing Models for Streaming Processing Using Support Vector Machines

      • Jonathan C. Beard, Cooper Epstein, Roger D. Chamberlain
      Pages 82-93

  5. Scheduling and Load Balancing

    1. Front Matter

      Pages 95-95
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    2. A Duplicate-Free State-Space Model for Optimal Task Scheduling

      • Michael Orr, Oliver Sinnen
      Pages 97-108

    3. On the Heterogeneity Bias of Cost Matrices When Assessing Scheduling Algorithms

      • Louis-Claude Canon, Laurent Philippe
      Pages 109-121

    4. Hardware Round-Robin Scheduler for Single-ISA Asymmetric Multi-core

      • Nikola Markovic, Daniel Nemirovsky, Veljko Milutinovic, Osman Unsal, Mateo Valero, Adrian Cristal
      Pages 122-134

    5. Moody Scheduling for Speculative Parallelization

      • Alvaro Estebanez, Diego R. Llanos, David Orden, Belen Palop
      Pages 135-146

    6. Allocating Jobs with Periodic Demand Variations

      • Olivier Beaumont, Ikbel Belaid, Lionel Eyraud-Dubois, Juan-Angel Lorenzo-del-Castillo
      Pages 147-158

    7. A Multi–level Hypergraph Partitioning Algorithm Using Rough Set Clustering

      • Foad Lotfifar, Matthew Johnson
      Pages 159-170

    8. Non-preemptive Throughput Maximization for Speed-Scaling with Power-Down

      • Eric Angel, Evripidis Bampis, Vincent Chau, Nguyen Kim Thang
      Pages 171-182

    9. Scheduling Tasks from Selfish Multi-tasks Agents

      • Johanne Cohen, Fanny Pascual
      Pages 183-195
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Other volumes

  1. Euro-Par 2015: Parallel Processing

  2. Euro-Par 2015: Parallel Processing Workshops

Keywords

About this book

This book constitutes the refereed proceedings of the 21st International Conference on Parallel and Distributed Computing, Euro-Par 2015, held in Vienna, Austria, in August 2015. The 51 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 190 submissions. The papers are organized in the following topical sections: support tools and environments; performance modeling, prediction and evaluation; scheduling and load balancing; architecture and compilers; parallel and distributed data management; grid, cluster and cloud computing; distributed systems and algorithms; parallel and distributed programming, interfaces and languages; multi- and many-core programming; theory and algorithms for parallel computation; numerical methods and applications; and accelerator computing.

Editors and Affiliations

  • Vienna University of Technology, Vienna, Austria

    Jesper Larsson Träff, Sascha Hunold, Francesco Versaci

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