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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 15: Parallel Adaptive Integration in High-Performance Functional Renormalization Group Computations
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Chapter title
Parallel Adaptive Integration in High-Performance Functional Renormalization Group Computations
Chapter number 15
Book title
High-Performance Scientific Computing
Published by
Springer, Cham, October 2016
DOI 10.1007/978-3-319-53862-4_15
Book ISBNs
978-3-31-953861-7, 978-3-31-953862-4
Authors

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

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Student > Bachelor 1 20%
Unknown 2 40%
Readers by discipline Count As %
Physics and Astronomy 1 20%
Materials Science 1 20%
Medicine and Dentistry 1 20%
Unknown 2 40%