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Architecture of Computing Systems - ARCS 2017

30th International Conference, Vienna, Austria, April 3–6, 2017, Proceedings

  • Jens Knoop
  • Wolfgang Karl
  • Martin Schulz
  • Koji Inoue
  • Thilo Pionteck

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10172)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 10172)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Resilience

    1. Front Matter
      Pages 1-1
    2. Thiago Santini, Christoph Borchert, Christian Dietrich, Horst Schirmeier, Martin Hoffmann, Olaf Spinczyk et al.
      Pages 3-15
    3. Florian Haas, Sebastian Weis, Theo Ungerer, Gilles Pokam, Youfeng Wu
      Pages 16-30
  3. Accelerators

    1. Front Matter
      Pages 31-31
    2. Michael Bromberger, Steffen Ehrle, Michael Scharrer, Lukas Erlinghagen, Jens Schick
      Pages 33-46
    3. Christopher Blochwitz, Julian Wolff, Jan Moritz Joseph, Stefan Werner, Dennis Heinrich, Sven Groppe et al.
      Pages 47-58
    4. James Clarkson, Christos Kotselidis, Gavin Brown, Mikel Luján
      Pages 59-70
  4. System and Application Performance

    1. Front Matter
      Pages 71-71
    2. Stefan Lankes, Simon Pickartz, Jens Breitbart
      Pages 73-84
  5. Memory Systems

    1. Front Matter
      Pages 97-97
    2. Julie Dumas, Eric Guthmuller, César Fuguet Tortolero, Frédéric Pétrot
      Pages 111-123
    3. Mahzabeen Islam, Krishna M. Kavi, Mitesh Meswani, Soumik Banerjee, Nuwan Jayasena
      Pages 124-136
  6. Parallelism and Many-Core Systems

    1. Front Matter
      Pages 137-137
    2. Jörg Mische, Martin Frieb, Alexander Stegmeier, Theo Ungerer
      Pages 139-151
    3. Elham Momenzadeh, Mehdi Modarressi, Abbas Mazloumi, Masoud Daneshtalab
      Pages 152-163
    4. Solomon Abera, M. Balakrishnan, Anshul Kumar
      Pages 164-176
    5. Anthony Brandon, Joost Hoozemans, Jeroen van Straten, Stephan Wong
      Pages 177-189
  7. Scheduling

    1. Front Matter
      Pages 191-191
    2. Muhammad Ali Awan, Konstantinos Bletsas, Pedro F. Souto, Eduardo Tovar
      Pages 205-218
  8. Power and Energy

    1. Front Matter
      Pages 219-219
    2. Marko Scrbak, Joseph L. Greathouse, Nuwan Jayasena, Krishna Kavi
      Pages 221-233
    3. Frehiwot Melak Arega, Markus Haehnel, Waltenegus Dargie
      Pages 248-260
  9. Back Matter
    Pages 261-262

About these proceedings

Introduction

This book constitutes the proceedings of the 30th International Conference on Architecture of Computing Systems, ARCS 2017, held in Vienna, Austria, in April 2017.

The 19 full papers presented in this volume were carefully reviewed and selected from 42 submissions. They were organized in topical sections entitled: resilience; accelerators; performance; memory systems; parallelism and many-core; scheduling; power/energy.

Keywords

embedded systems hybrid systems multicore architectures performance optimization semantic Web autonomic computing computer systems organization cyber-physical systems debugging dependable systems and networks distributed systems fault-tolerant systems and networks heterogeneous systems middleware operating systems power management programming models and runtimes reconfigurable logic and fpgas self-organizing string sorting

Editors and affiliations

  • Jens Knoop
    • 1
  • Wolfgang Karl
    • 2
  • Martin Schulz
    • 3
  • Koji Inoue
    • 4
  • Thilo Pionteck
    • 5
  1. 1.Vienna University of TechnologyViennaAustria
  2. 2.Karlsruhe Institute of TechnologyKarlsruheGermany
  3. 3.Lawrence Livermore National LaboratoryLivermoreUSA
  4. 4.Kyushu UniversityFukuokaJapan
  5. 5.Otto-von-Guericke Universität MagdeburgMagdeburgGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-54999-6
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-54998-9
  • Online ISBN 978-3-319-54999-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site