© 2019

Architecture of Computing Systems – ARCS 2019

32nd International Conference, Copenhagen, Denmark, May 20–23, 2019, Proceedings

  • Martin Schoeberl
  • Christian Hochberger
  • Sascha Uhrig
  • Jürgen Brehm
  • Thilo Pionteck
Conference proceedings ARCS 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11479)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11479)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Dependable Systems

    1. Front Matter
      Pages 1-1
  3. Real-Time Systems

    1. Front Matter
      Pages 29-29
    2. Max Koenen, Nguyen Anh Vu Doan, Thomas Wild, Andreas Herkersdorf
      Pages 31-44
    3. Dirk Gabriel, Walter Stechele, Stefan Wildermann
      Pages 45-55
    4. Michael Schmid, Jürgen Mottok
      Pages 56-67
  4. Special Applications

  5. Architecture

    1. Front Matter
      Pages 113-113
    2. Martin Schoeberl, Morten Borup Petersen
      Pages 115-127
    3. Sebastian Rachuj, Marc Reichenbach, Dietmar Fey
      Pages 128-141
    4. Philipp S. Käsgen, Markus Weinhardt, Christian Hochberger
      Pages 156-167
  6. Memory Hierarchy

    1. Front Matter
      Pages 169-169
    2. Hendrik Borghorst, Olaf Spinczyk
      Pages 171-182

About these proceedings


This book constitutes the proceedings of the 32nd International Conference on Architecture of Computing Systems, ARCS 2019, held in Copenhagen, Denmark, in May 2019.

The 24 full papers presented in this volume were carefully reviewed and selected from 40 submissions. ARCS has always been a conference attracting leading-edge research outcomes in Computer Architecture and Operating Systems, including a wide spectrum of topics ranging from embedded and real-time systems all the way to large-scale and parallel systems. The selected papers are organized in the following topical sections: Dependable systems; real-time systems; special applications; architecture; memory hierarchy; FPGA; energy awareness; NoC/SoC.

The chapter 'MEMPower: Data-Aware GPU Memory Power Model' is open access under a CC BY 4.0 license at


computer architecture computer networks embedded systems energy efficiency field programmable gate array fpga hardware logic gates microprocessor chips multi core parallel architectures processors programming languages real time systems wireless sensor networks wireless telecommunication systems

Editors and affiliations

  • Martin Schoeberl
    • 1
  • Christian Hochberger
    • 2
  • Sascha Uhrig
    • 3
  • Jürgen Brehm
    • 4
  • Thilo Pionteck
    • 5
  1. 1.Technical University of DenmarkLyngbyDenmark
  2. 2.Technical University of DarmstadtDarmstadtGermany
  3. 3.Airbus Defence and Space GmbHTaufkirchenGermany
  4. 4.University of HanoverHanoverGermany
  5. 5.Otto-von-Guericke UniversityMagdeburgGermany

Bibliographic information

Industry Sectors
IT & Software
Consumer Packaged Goods
Materials & Steel
Finance, Business & Banking
Energy, Utilities & Environment
Oil, Gas & Geosciences