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JHPCS 2016: Aachen, Germany
- Edoardo Di Napoli, Marc-André Hermanns, Hristo Iliev, Andreas Lintermann, Alexander Peyser:
High-Performance Scientific Computing - First JARA-HPC Symposium, JHPCS 2016, Aachen, Germany, October 4-5, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10164, Springer 2017, ISBN 978-3-319-53861-7
Efficient HPC-Optimized Multi-Physics Coupling Strategies in CFD
- Florent Duchaine, Sandrine Berger, Gabriel Staffelbach, Laurent Gicquel:
Partitioned High Performance Code Coupling Applied to CFD. 3-12 - Niclas Jansson, Rahul Bale, Keiji Onishi, Makoto Tsubokura:
Dynamic Load Balancing for Large-Scale Multiphysics Simulations. 13-23 - Lutz Pauli, Marek Behr:
On the Significance of Exposure Time in Computational Blood Damage Estimation. 24-36 - Miguel Zavala-Aké, Daniel Mira, Mariano Vázquez, Guillaume Houzeaux:
A Partitioned Methodology for Conjugate Heat Transfer on Dynamic Structures. 37-47 - Benjamin Duda, Ehab Fares:
Farfield Noise Prediction Using Large-Scale Lattice-Boltzmann Simulations. 48-57 - Johan Hoffman, Johan Jansson, Niyazi Cem Degirmenci, Jeannette Hiromi Spühler, Rodrigo Vilela De Abreu, Niclas Jansson, Aurélien Larcher:
FEniCS-HPC: Coupled Multiphysics in Computational Fluid Dynamics. 58-69 - Michael Schlottke-Lakemper, Hans Yu, Sven Berger, Andreas Lintermann, Matthias Meinke, Wolfgang Schröder:
The Direct-Hybrid Method for Computational Aeroacoustics on HPC Systems. 70-81 - Sebastian Popp, Steffen Weise, Christian Hasse:
A Novel Approach for Efficient Storage and Retrieval of Tabulated Chemistry in Reactive Flow Simulations. 82-95 - Mathis Bode, Marco Davidovic, Heinz Pitsch:
Multi-scale Coupling for Predictive Injector Simulations. 96-108
Domain-Specific Applications and High-Performance Computing
- Philippe Czaja, Massimo Celino, Simone Giusepponi, Michele Gusso, Urs Aeberhard:
Ab Initio Description of Optoelectronic Properties at Defective Interfaces in Solar Cells. 111-124 - Marc Weikamp, Claas Hüter, Mingxuan Lin, Ulrich Prahl, Diego Schicchi, Martin Hunkel, Robert Spatschek:
Scale Bridging Simulations of Large Elastic Deformations and Bainitic Transformations. 125-138 - Siaufung O. Dang, Marco Prill, Claas Hüter, Martin Finsterbusch, Robert Spatschek:
Ab Initio Modelling of Electrode Material Properties. 139-150 - Jens Henrik Göbbert, Hristo Iliev, Cedrick Ansorge, Heinz Pitsch:
Overlapping of Communication and Computation in nb3dfft for 3D Fast Fourier Transformations. 151-159 - Till Schumann, Csaba Erö, Marc-Oliver Gewaltig, Fabien Jonathan Delalondre:
Towards Simulating Data-Driven Brain Models at the Point Neuron Level on Petascale Computers. 160-169 - Julian Lichtenstein, Jan Winkelmann, David Sánchez de la Peña, Toni Vidovic, Edoardo Di Napoli:
Parallel Adaptive Integration in High-Performance Functional Renormalization Group Computations. 170-184
Performance Portability
- Hristo Iliev, Marc-André Hermanns, Jens Henrik Göbbert, René Halver, Christian Terboven, Bernd Mohr, Matthias S. Müller:
Performance Optimization of Parallel Applications in Diverse On-Demand Development Teams. 187-199 - Diego Fabregat-Traver, Davor Davidovic, Markus Höhnerbach, Edoardo Di Napoli:
Hybrid CPU-GPU Generation of the Hamiltonian and Overlap Matrices in FLAPW Methods. 200-211 - Tom Vierjahn, Torsten W. Kuhlen, Matthias S. Müller, Bernd Hentschel:
Visualizing Performance Data with Respect to the Simulated Geometry. 212-222
Provenance Tracking
- Bastian Tweddell, Jens Henrik Göbbert, Michael Gauding, Benjamin Weyers, Björn Hagemeier:
Framework for Sharing of Highly Resolved Turbulence Simulation Data. 225-232 - André Giesler, Myriam Czekala, Björn Hagemeier, Richard Grunzke:
UniProv: A Flexible Provenance Tracking System for UNICORE. 233-242 - Johanna Senk, Alper Yegenoglu, Olivier Amblet, Yury Brukau, Andrew P. Davison, David Roland Lester, Anna Lührs, Pietro Quaglio, Vahid Rostami, Andrew Rowley, Bernd Schuller, Alan Barry Stokes, Sacha Jennifer van Albada, Daniel Zielasko, Markus Diesmann, Benjamin Weyers, Michael Denker, Sonja Grün:
A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC. 243-256
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