Facing the Multicore-Challenge III

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

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.

• GPU
• high performance parallelization
• memory access
• parallel programming
• scalable applications

• 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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