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Parallel Algorithms in Computational Science and Engineering

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Cover of 'Parallel Algorithms in Computational Science and Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 State-of-the-Art Sparse Direct Solvers
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    Chapter 2 The Effect of Various Sparsity Structures on Parallelism and Algorithms to Reveal Those Structures
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    Chapter 3 Structure-Exploiting Interior Point Methods
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    Chapter 4 Parallel Hybrid Sparse Linear System Solvers
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    Chapter 5 Computational Materials Science and Engineering
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    Chapter 6 Computational Cardiovascular Analysis with the Variational Multiscale Methods and Isogeometric Discretization
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    Chapter 7 ALE and Space–Time Variational Multiscale Isogeometric Analysis of Wind Turbines and Turbomachinery
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    Chapter 8 Variational Multiscale Flow Analysis in Aerospace, Energy and Transportation Technologies
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    Chapter 9 Multiscale Crowd Dynamics Modeling and Safety Problems Towards Parallel Computing
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    Chapter 10 HPC for Weather Forecasting
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    Chapter 11 A Simple Study of Pleasing Parallelism on Multicore Computers
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    Chapter 12 Parallel Fast Time-Domain Integral-Equation Methods for Transient Electromagnetic Analysis
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    Chapter 13 Parallel Optimization Techniques for Machine Learning
Attention for Chapter 11: A Simple Study of Pleasing Parallelism on Multicore Computers
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Chapter title
A Simple Study of Pleasing Parallelism on Multicore Computers
Chapter number 11
Book title
Parallel Algorithms in Computational Science and Engineering
Published by
Birkhäuser, Cham, January 2020
DOI 10.1007/978-3-030-43736-7_11
Book ISBNs
978-3-03-043735-0, 978-3-03-043736-7
Authors

Yanfei Ren, David F. Gleich

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