High-Performance Scientific Computing

1. Front Matter

   Pages I-XV

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2. Efficient HPC-Optimized Multi-Physics Coupling Strategies in CFD

   1. Front Matter

      Pages 1-1

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   2. Partitioned High Performance Code Coupling Applied to CFD

      • Florent Duchaine, Sandrine Berger, Gabriel Staffelbach, Laurent Gicquel

      Pages 3-12

   3. Dynamic Load Balancing for Large-Scale Multiphysics Simulations

      • Niclas Jansson, Rahul Bale, Keiji Onishi, Makoto Tsubokura

      Pages 13-23

   4. On the Significance of Exposure Time in Computational Blood Damage Estimation

      • Lutz Pauli, Marek Behr

      Pages 24-36

   5. A Partitioned Methodology for Conjugate Heat Transfer on Dynamic Structures

      • Miguel Zavala-Aké, Daniel Mira, Mariano Vázquez, Guillaume Houzeaux

      Pages 37-47

   6. Farfield Noise Prediction Using Large-Scale Lattice-Boltzmann Simulations

      • Benjamin Duda, Ehab Fares

      Pages 48-57

   7. FEniCS-HPC: Coupled Multiphysics in Computational Fluid Dynamics

      • Johan Hoffman, Johan Jansson, Niyazi Cem Degirmenci, Jeannette Hiromi Spühler, Rodrigo Vilela De Abreu, Niclas Jansson et al.

      Pages 58-69

   8. The Direct-Hybrid Method for Computational Aeroacoustics on HPC Systems

      • Michael Schlottke-Lakemper, Hans Yu, Sven Berger, Andreas Lintermann, Matthias Meinke, Wolfgang Schröder

      Pages 70-81

   9. A Novel Approach for Efficient Storage and Retrieval of Tabulated Chemistry in Reactive Flow Simulations

      • Sebastian Popp, Steffen Weise, Christian Hasse

      Pages 82-95

   10. Multi-scale Coupling for Predictive Injector Simulations

       • Mathis Bode, Marco Davidovic, Heinz Pitsch

       Pages 96-108

3. Domain-Specific Applications and High-Performance Computing

   1. Front Matter

      Pages 109-109

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   2. Ab Initio Description of Optoelectronic Properties at Defective Interfaces in Solar Cells

      • Philippe Czaja, Massimo Celino, Simone Giusepponi, Michele Gusso, Urs Aeberhard

      Pages 111-124

   3. Scale Bridging Simulations of Large Elastic Deformations and Bainitic Transformations

      • Marc Weikamp, Claas Hüter, Mingxuan Lin, Ulrich Prahl, Diego Schicchi, Martin Hunkel et al.

      Pages 125-138

   4. Ab Initio Modelling of Electrode Material Properties

      • Siaufung O. Dang, Marco Prill, Claas Hüter, Martin Finsterbusch, Robert Spatschek

      Pages 139-150

   5. Overlapping of Communication and Computation in nb3dfft for 3D Fast Fourier Transformations

      • Jens Henrik Göbbert, Hristo Iliev, Cedrick Ansorge, Heinz Pitsch

      Pages 151-159

   6. Towards Simulating Data-Driven Brain Models at the Point Neuron Level on Petascale Computers

      • Till Schumann, Csaba Erő, Marc-Oliver Gewaltig, Fabien Jonathan Delalondre

      Pages 160-169

   7. Parallel Adaptive Integration in High-Performance Functional Renormalization Group Computations

      • Julian Lichtenstein, Jan Winkelmann, David Sánchez de la Peña, Toni Vidović, Edoardo Di Napoli

      Pages 170-184

4. Performance Portability

   1. Front Matter

      Pages 185-185

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   2. Performance Optimization of Parallel Applications in Diverse On-Demand Development Teams

      • Hristo Iliev, Marc-André Hermanns, Jens Henrik Göbbert, René Halver, Christian Terboven, Bernd Mohr et al.

      Pages 187-199

This book constitutes the thoroughly refereed post-conference proceedings of the First JARA High-Performance Computing Symposium, JARA-HPC 2016, held in Aachen, Germany, in October 2016.


The 21 full papers presented were carefully reviewed and selected from 26 submissions. They cover many diverse topics, such as coupling methods and strategies in Computational Fluid Dynamics (CFD), performance portability and applications in HPC, as well as provenance tracking for large-scale simulations.

• distributed algorithms
• hybrid parallelization
• multiscale systems
• performance optimization
• quantum mechanic simulation
• collaboration in software development
• computer-aided design
• data-driven simulation
• distributed simulation
• finite element method
• large-eddy simulation
• load balancing
• massively parallel algorithms
• memory management
• modeling methodologies
• neural systems
• numerical simulation
• scalability
• scientific visualization
• software development

• Forschungszentrum Jülich, Jülich, Germany

  Edoardo Di Napoli, Marc-André Hermanns, Alexander Peyser

• RWTH Aachen University, Aachen, Germany

  Hristo Iliev, Andreas Lintermann

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