High-Performance Scientific Computing: First JARA-HPC by Edoardo Di Napoli, Marc-André Hermanns, Hristo Iliev,

By Edoardo Di Napoli, Marc-André Hermanns, Hristo Iliev, Andreas Lintermann, Alexander Peyser

This booklet constitutes the completely refereed post-conference court cases of the 1st JARA High-Performance Computing Symposium, JARA-HPC 2016, held in Aachen, Germany, in October 2016.
The 21 complete papers awarded have been rigorously reviewed and chosen from 26 submissions. They conceal many varied issues, reminiscent of coupling equipment and techniques in Computational Fluid Dynamics (CFD), functionality portability and purposes in HPC, in addition to provenance monitoring for large-scale simulations.

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By Edoardo Di Napoli, Marc-André Hermanns, Hristo Iliev, Andreas Lintermann, Alexander Peyser

This booklet constitutes the completely refereed post-conference court cases of the 1st JARA High-Performance Computing Symposium, JARA-HPC 2016, held in Aachen, Germany, in October 2016.
The 21 complete papers awarded have been rigorously reviewed and chosen from 26 submissions. They conceal many varied issues, reminiscent of coupling equipment and techniques in Computational Fluid Dynamics (CFD), functionality portability and purposes in HPC, in addition to provenance monitoring for large-scale simulations.

Show description

Read Online or Download High-Performance Scientific Computing: First JARA-HPC Symposium, JHPCS 2016, Aachen, Germany, October 4–5, 2016, Revised Selected Papers PDF

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Extra resources for High-Performance Scientific Computing: First JARA-HPC Symposium, JHPCS 2016, Aachen, Germany, October 4–5, 2016, Revised Selected Papers

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In order to use Eq. (7) for hemolysis approximations, the computed shape tensor is coupled to the power law, or more precisely to the reaction term of Eq. (3). The distortion of the ellipsoidal droplet can be computed with the following formula [9]: L−B , (10) D≡ L+B with lengths of the longest and smallest semi-axes of the droplet, L and B (compare Fig. 1(b)). Both values can be evaluated by the largest and smallest eigenvalue of tensor S, respectively. In case of steady, simple shear flow, the strain-based model should estimate the same amount of hemolysis as the stressbased model if the exposure time is long enough.

29(10), 1148–1160 (2013) 24. : Robust Shape Optimization for Incompressible Flow of Shear-Thinning Fluids. D. thesis, RWTH Aachen University, Aachen, Germany (2013) 36 L. Pauli and M. Behr 25. : Mechanical properties of the red cell membrane: II. viscoelastic breakdown of the membrane. Biophys. J. 4(4), 303–316 (1964) 26. : The self-diffusion coefficients of myoglobin and hemoglobin in concentrated solutions. J. Biol. Chem. 247(3), 895–901 (1972) 27. : Fluid drop-like transition of erythrocytes under shear.

Acknowledgments. This work was supported through the computing resources provided on the K computer by RIKEN Advanced Institute for Computational Science. References 1. : Space-Filling Curves. Texts in Computational Science and Engineering, vol. 9. Springer, Heidelberg (2013) 2. : A unified mathematical framework and an adaptive numerical method for fluid-structure interaction with rigid, deforming, and elastic bodies. J. Comput. Phys. 250, 446–476 (2013) 3. : High performance adaptive finite element methods: with applications in aerodynamics.

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