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Parallel Processing and Applied Mathematics

11th International Conference, PPAM 2015, Krakow, Poland, September 6-9, 2015. Revised Selected Papers, Part II

  • Roman Wyrzykowski
  • Ewa Deelman
  • Jack Dongarra
  • Konrad Karczewski
  • Jacek Kitowski
  • Kazimierz Wiatr

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9574)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 9574)

Table of contents

  1. Front Matter
    Pages I-XXIV
  2. The Third Workshop on Models, Algorithms, and Methodologies for Hierarchical Parallelism in New HPC Systems

    1. Front Matter
      Pages 1-1
    2. Raffaele Montella, Giulio Giunta, Giuliano Laccetti, Marco Lapegna, Carlo Palmieri, Carmine Ferraro et al.
      Pages 3-14
    3. Wytse Oortwijn, Tom van Dijk, Jaco van de Pol
      Pages 15-24
    4. Luisa D’Amore, Valeria Mele, Giuliano Laccetti, Almerico Murli
      Pages 25-34
    5. Rosella Arcucci, Luisa D’Amore, Simone Celestino, Giuliano Laccetti, Almerico Murli
      Pages 45-54
  3. Workshop on Power and Energy Aspects of Computation

    1. Front Matter
      Pages 55-55
    2. Francisco Almeida, Javier Arteaga, Vicente Blanco, Alberto Cabrera
      Pages 57-65
  4. Workshop on Scheduling for Parallel Computing (SPC 2015)

    1. Front Matter
      Pages 75-75
    2. Tomasz Dziok, Kamil Figiela, Maciej Malawski
      Pages 90-100
    3. Martín Pedemonte, Pablo Ezzatti, Álvaro Martín
      Pages 101-110
    4. Maciej Drozdowski, Jędrzej M. Marszałkowski
      Pages 111-120
  5. The 6th Workshop on Language-Based Parallel Programming Models (WLPP 2015)

    1. Front Matter
      Pages 121-121
    2. Wlodzimierz Bielecki, Marek Palkowski, Tomasz Klimek
      Pages 133-142
    3. Kenneth Skovhede, Simon Andreas Frimann Lund
      Pages 166-175
    4. Jose Juan Mijares Chan, Yuyin Mao, Ying Ying Liu, Parimala Thulasiraman, Ruppa K. Thulasiram
      Pages 176-185
  6. The 5th Workshop on Performance Evaluation of Parallel Applications on Large-Scale Systems

    1. Front Matter
      Pages 187-187
    2. Jan Kwiatkowski, Lukasz Olech
      Pages 189-198
    3. Oscar Rojas, Veronica Gil-Costa, Mauricio Marin
      Pages 210-220
    4. Magdalena Ryczkowska, Marek Nowicki, Piotr Bala
      Pages 221-230
  7. Workshop on Parallel Computational Biology (PBC 2015)

    1. Front Matter
      Pages 231-231
    2. Dries Decap, Joke Reumers, Charlotte Herzeel, Pascal Costanza, Jan Fostier
      Pages 233-242
    3. Carl Barton, Alice Heliou, Laurent Mouchard, Solon P. Pissis
      Pages 243-253
  8. Workshop on Applications of Parallel Computation in Industry and Engineering

  9. Minisymposium on HPC Applications in Physical Sciences

    1. Front Matter
      Pages 299-299
    2. Christoph Jentzsch, Ron Dockhorn, Jens-Uwe Sommer
      Pages 301-311
    3. Michał Antkowiak, Łukasz Kucharski, Grzegorz Kamieniarz
      Pages 312-320
    4. Michał Wojciechowski, Bartosz Brzostowski, Grzegorz Kamieniarz
      Pages 321-331
    5. Szymon Murawski, Grzegorz Musiał, Grzegorz Pawłowski
      Pages 332-341
  10. The Second Workshop on Applied High Performance Numerical Algorithms in PDEs

    1. Front Matter
      Pages 343-343
    2. Florian Prill, Günther Zängl
      Pages 355-364
    3. Immo Huismann, Jörg Stiller, Jochen Fröhlich
      Pages 371-380
    4. Leszek Marcinkowski, Talal Rahman
      Pages 381-390
    5. Konrad Sakowski, Leszek Marcinkowski, Pawel Strak, Pawel Kempisty, Stanislaw Krukowski
      Pages 391-400
  11. Minisymposium on High Performance Computing Interval Methods

About these proceedings

Introduction

This two-volume-set (LNCS 9573 and 9574) constitutes the refereed proceedings of the 11th International Conference of Parallel Processing and Applied Mathematics, PPAM 2015, held in Krakow, Poland, in September 2015. The 111 revised full papers presented in both volumes were carefully reviewed and selected from 196 submissions. 
The focus of PPAM 2015 was on models, algorithms, and software tools
which facilitate efficient and convenient utilization of modern parallel and distributed computing architectures, as well as on large-scale applications, including big data problems.

Keywords

applied mathematics cloud computing neural networks parallel scientific computing performance evaluation accelerators applications of parallel computing data management energy management GPU graph algorithms heterogeneous systems interval computation many-core architectures multi-core architectures numerical algorithms parallel algorithms parallel architectures parallel programming languages parallel simulations

Editors and affiliations

  • Roman Wyrzykowski
    • 1
  • Ewa Deelman
    • 2
  • Jack Dongarra
    • 3
  • Konrad Karczewski
    • 4
  • Jacek Kitowski
    • 5
  • Kazimierz Wiatr
    • 6
  1. 1.Czestochowa University of TechnologCzestochowaPoland
  2. 2.Department of Computer ScienceUniversity of Southern CaliforniaMarina Del ReyUSA
  3. 3.Electrical Engineering & Comput. ScienceUniversity of TennesseeKnoxvilleUSA
  4. 4.Czestochowa University of TechnologyInstitute of Computer & Information Sci.CzestochowaPoland
  5. 5.Department of Computer ScienceAGH University of Science and TechnologyKrakowPoland
  6. 6.Systèmes d’informations, Big Data et RecAGH University of Science and TechnologyKrakowPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-32152-3
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-32151-6
  • Online ISBN 978-3-319-32152-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site