Euro-Par 2019: Parallel Processing

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

  • Ramin Yahyapour
Conference proceedings Euro-Par 2019

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

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11725)

Table of contents

  1. Front Matter
    Pages i-xxviii
  2. Support Tools and Environments

    1. Front Matter
      Pages 1-1
    2. Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi
      Pages 3-16
    3. Mohammad Norouzi, Qamar Ilias, Ali Jannesari, Felix Wolf
      Pages 17-28
    4. 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
    2. Shu-Mei Tseng, Bogdan Nicolae, George Bosilca, Emmanuel Jeannot, Aparna Chandramowlishwaran, Franck Cappello
      Pages 47-60
    3. Louis-Claude Canon, Mohamad El Sayah, Pierre-Cyrille Héam
      Pages 61-73
    4. Jordi Alcaraz, Anna Sikora, Eduardo César
      Pages 74-86
    5. Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, Paul Hovland, Gerard Gorman
      Pages 87-100
  4. Scheduling and Load Balancing

    1. Front Matter
      Pages 101-101
    2. Massinissa Ait Aba, Alix Munier Kordon, Guillaume Pallez (Aupy)
      Pages 117-128
    3. Frédéric Azevedo, Dalibor Klusáček, Frédéric Suter
      Pages 129-141
    4. Daniel Funke, Peter Sanders, Vincent Winkler
      Pages 156-169
    5. Julian Oppermann, Patrick Sittel, Martin Kumm, Melanie Reuter-Oppermann, Andreas Koch, Oliver Sinnen
      Pages 170-183
    6. Blair Archibald, Patrick Maier, Robert Stewart, Phil Trinder
      Pages 184-196
    7. 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
    2. Arya Mazaheri, Johannes Schulte, Matthew W. Moskewicz, Felix Wolf, Ali Jannesari
      Pages 213-226
    3. Rachid Guerraoui, Erwan Le Merrer, Rhicheek Patra, Jean-Ronan Vigouroux
      Pages 227-240
    4. Valentina Avati, Milosz Blaszkiewicz, Enrico Bocchi, Luca Canali, Diogo Castro, Javier Cervantes et al.
      Pages 241-255
    5. Elnaz Azmi, Uwe Ehret, Jörg Meyer, Rik van Pruijssen, Achim Streit, Marcus Strobl
      Pages 256-269
  6. Cluster and Cloud Computing

    1. Front Matter
      Pages 271-271
    2. Thuy Linh Nguyen, Ramon Nou, Adrien Lebre
      Pages 273-287
  7. Parallel and Distributed Programming, Interfaces, and Languages

    1. Front Matter
      Pages 289-289
    2. Peter Thoman, Philip Salzmann, Biagio Cosenza, Thomas Fahringer
      Pages 291-303
    3. Chih-Chieh Yang, Juan C. Pichel, David A. Padua
      Pages 304-316
    4. Nikita Koval, Dan Alistarh, Roman Elizarov
      Pages 317-333
    5. Dave Dice, Alex Kogan
      Pages 334-345
    6. Sri Raj Paul, Akihiro Hayashi, Nicole Slattengren, Hemanth Kolla, Matthew Whitlock, Seonmyeong Bak et al.
      Pages 346-360
  8. Multicore and Manycore Parallelism

    1. Front Matter
      Pages 361-361
    2. Dave Dice, Alex Kogan
      Pages 363-376
    3. Meghana Aparna Sistla, V. Krishna Nandivada
      Pages 377-390
    4. Vivek Kumar
      Pages 391-404
    5. Fatih Taşyaran, Kerem Yıldırır, Mustafa Kemal Taş, Kamer Kaya
      Pages 405-418
    6. Jérôme Richard, Guillaume Latu, Julien Bigot, Thierry Gautier
      Pages 419-433
    7. Alexander van der Grinten, Eugenio Angriman, Henning Meyerhenke
      Pages 434-447
  9. Theory and Algorithms for Parallel Computation and Networking

    1. Front Matter
      Pages 449-449
    2. Kanat Tangwongsan, Srikanta Tirthapura
      Pages 451-465
  10. Parallel Numerical Methods and Applications

    1. Front Matter
      Pages 467-467
    2. Yohan Chatelain, Eric Petit, Pablo de Oliveira Castro, Ghislain Lartigue, David Defour
      Pages 481-494
    3. Jakub Kurzak, Mark Gates, Ali Charara, Asim YarKhan, Ichitaro Yamazaki, Jack Dongarra
      Pages 495-506
  11. Accelerator Computing

    1. Front Matter
      Pages 507-507
    2. Bram Veenboer, John W. Romein
      Pages 509-521
  12. Back Matter
    Pages 523-524

Other volumes

  1. Euro-Par 2019: Parallel Processing
    25th International Conference on Parallel and Distributed Computing, Göttingen, Germany, August 26–30, 2019, Proceedings
  2. Euro-Par 2019 International Workshops, Göttingen, Germany, August 26–30, 2019, Revised Selected Papers

About these proceedings


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.  


artificial intelligence clustering computer architecture computer systems CUDA data communication systems data mining graph theory Graphics Processing Unit (GPU) multi core parallel algorithms parallel processing systems parallel programming parallelizations processors program compilers programming languages programming models semantics signal processing

Editors and affiliations

  1. 1.Gesellschaft für wissenschaftliche Datenverarbeitung mbH GöttingenGeorg-August-Universität GöttingenGöttingenGermany

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