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High-Performance Scientific Computing

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Cover of 'High-Performance Scientific Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Partitioned High Performance Code Coupling Applied to CFD
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    Chapter 2 Dynamic Load Balancing for Large-Scale Multiphysics Simulations
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    Chapter 3 On the Significance of Exposure Time in Computational Blood Damage Estimation
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    Chapter 4 A Partitioned Methodology for Conjugate Heat Transfer on Dynamic Structures
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    Chapter 5 Farfield Noise Prediction Using Large-Scale Lattice-Boltzmann Simulations
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    Chapter 6 FEniCS-HPC: Coupled Multiphysics in Computational Fluid Dynamics
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    Chapter 7 The Direct-Hybrid Method for Computational Aeroacoustics on HPC Systems
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    Chapter 8 A Novel Approach for Efficient Storage and Retrieval of Tabulated Chemistry in Reactive Flow Simulations
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    Chapter 9 Multi-scale Coupling for Predictive Injector Simulations
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    Chapter 10 Ab Initio Description of Optoelectronic Properties at Defective Interfaces in Solar Cells
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    Chapter 11 Scale Bridging Simulations of Large Elastic Deformations and Bainitic Transformations
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    Chapter 12 Ab Initio Modelling of Electrode Material Properties
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    Chapter 13 Overlapping of Communication and Computation in nb3dfft for 3D Fast Fourier Transformations
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    Chapter 14 Towards Simulating Data-Driven Brain Models at the Point Neuron Level on Petascale Computers
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    Chapter 15 Parallel Adaptive Integration in High-Performance Functional Renormalization Group Computations
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    Chapter 16 Performance Optimization of Parallel Applications in Diverse On-Demand Development Teams
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    Chapter 17 Hybrid CPU-GPU Generation of the Hamiltonian and Overlap Matrices in FLAPW Methods
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    Chapter 18 Visualizing Performance Data with Respect to the Simulated Geometry
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    Chapter 19 Framework for Sharing of Highly Resolved Turbulence Simulation Data
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    Chapter 20 UniProv: A Flexible Provenance Tracking System for UNICORE
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    Chapter 21 A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC
Attention for Chapter 16: Performance Optimization of Parallel Applications in Diverse On-Demand Development Teams
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Citations

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Chapter title
Performance Optimization of Parallel Applications in Diverse On-Demand Development Teams
Chapter number 16
Book title
High-Performance Scientific Computing
Published by
Springer, Cham, October 2016
DOI 10.1007/978-3-319-53862-4_16
Book ISBNs
978-3-31-953861-7, 978-3-31-953862-4
Authors

Hristo Iliev, Marc-André Hermanns, Jens Henrik Göbbert, René Halver, Christian Terboven, Bernd Mohr, Matthias S. Müller, Iliev, Hristo, Hermanns, Marc-André, Göbbert, Jens Henrik, Halver, René, Terboven, Christian, Mohr, Bernd, Müller, Matthias S.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Researcher 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%

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