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Facing the Multicore-Challenge III

Aspects of New Paradigms and Technologies in Parallel Computing

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  • © 2013

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Editors:
  1. Rainer Keller

    1. Department of Topology, Computer Science and Mathematics, University of Applied Science, Stuttgart, Germany

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  2. David Kramer

    1. Institute of Computer Science and Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

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  3. Jan-Philipp Weiss

    1. Institute for Applied and Numerical Mathematics 4, Karlsruhe Institut of Technology, Karlsruhe, Germany

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  • High quality selected papers
  • Unique visibility
  • State of the art research

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7686)

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

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Table of contents (22 chapters)

  1. Front Matter

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  2. Full Papers

    1. Invasive Computing on High Performance Shared Memory Systems

      • Michael Bader, Hans-Joachim Bungartz, Martin Schreiber
      Pages 1-12

    2. A Similarity-Based Analysis Tool for Porting OpenMP Applications

      • Wei Ding, Oscar Hernandez, Barbara Chapman
      Pages 13-24

    3. Array-Based Reduction Operations for a Parallel Adaptive FEM

      • Martina Balg, Jens Lang, Arnd Meyer, Gudula Rünger
      Pages 25-36

    4. An Efficient High Performance Parallelization of a Discontinuous Galerkin Spectral Element Method

      • Christoph Altmann, Andrea D. Beck, Florian Hindenlang, Marc Staudenmaier, Gregor J. Gassner, Claus-Dieter Munz
      Pages 37-47

    5. Reducing the Memory Footprint of Parallel Applications with KSM

      • Nathalie Rauschmayr, Achim Streit
      Pages 48-59

    6. Recalibrating Fine-Grained Locking in Parallel Bucket Hash Tables

      • Ákos Dudás, Sándor Juhász, Sándor Kolumbán
      Pages 60-71

    7. Impact of Variable Privatization on Extracting Synchronization-Free Slices for Multi-core Computers

      • Marek Palkowski
      Pages 72-83

    8. Parallel Collision Queries on the GPU

      • Rainer Erbes, Anja Mantel, Elmar Schömer, Nicola Wolpert
      Pages 84-95

    9. ÆminiumGPU: An Intelligent Framework for GPU Programming

      • Alcides Fonseca, Bruno Cabral
      Pages 96-107

    10. Parallel k-Means Image Segmentation Using Sort, Scan and Connected Components on a GPU

      • Michael Backer, Jan Tünnermann, Bärbel Mertsching
      Pages 108-120

  3. Poster Abstracts

    1. Solving High-Dimensional Problems on Processors with Integrated GPU

      • Alexander Heinecke
      Pages 121-122

    2. Pulsar Searching with Many-Cores

      • Alessio Sclocco, Rob V. van Nieuwpoort
      Pages 123-124

    3. Scheduling Overheads for Task-Based Parallel Programming Models

      • Mathias Nachtmann, Jose Gracia, Colin W. Glass
      Pages 125-126

    4. PINstruct – Efficient Memory Access to Data Structures

      • Rainer Keller, Shiqing Fan
      Pages 127-128

    5. Development of a GPU-Accelerated Mike 21 Solver for Water Wave Dynamics

      • Peter Edward Aackermann, Peter Juhler Dinesen Pedersen, Allan Peter Engsig-Karup, Thomas Clausen, Jesper Grooss
      Pages 129-130

    6. GPU-Accelerated and CPU SIMD Optimized Monte Carlo Simulation of φ 4 Model

      • Piotr Bialas, Jakub Kowal, Adam Strzelecki
      Pages 131-132

    7. Protable Codes on New HPC Architectures

      • Mhd. Amer Wafai, Colin W. Glass, Christoph Niethammer
      Pages 133-134

    8. GASPI – A Partitioned Global Address Space Programming Interface

      • Thomas Alrutz, Jan Backhaus, Thomas Brandes, Vanessa End, Thomas Gerhold, Alfred Geiger et al.
      Pages 135-136

    9. Parallel Fully Adaptive Tsunami Simulations

      • Michael Bader, Alexander Breuer, Martin Schreiber
      Pages 137-138
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Keywords

About this book

This state-of-the-art survey features topics related to the impact of multicore, manycore, and coprocessor technologies in science and large-scale applications in an interdisciplinary environment. The papers included in this survey cover research in mathematical modeling, design of parallel algorithms, aspects of microprocessor architecture, parallel programming languages, hardware-aware computing, heterogeneous platforms, manycore technologies, performance tuning, and requirements for large-scale applications. The contributions presented in this volume are an outcome of an inspiring conference conceived and organized by the editors at the University of Applied Sciences (HfT) in Stuttgart, Germany, in September 2012. The 10 revised full papers selected from 21 submissions are presented together with the twelve poster abstracts and focus on combination of new aspects of microprocessor technologies, parallel applications, numerical simulation, and software development; thus they clearly show the potential of emerging technologies in the area of multicore and manycore processors that are paving the way towards personal supercomputing and very likely towards exascale computing.

Editors and Affiliations

  • Department of Topology, Computer Science and Mathematics, University of Applied Science, Stuttgart, Germany

    Rainer Keller

  • Institute of Computer Science and Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

    David Kramer

  • Institute for Applied and Numerical Mathematics 4, Karlsruhe Institut of Technology, Karlsruhe, Germany

    Jan-Philipp Weiss

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