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Principles of Parallel Scientific Computing

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Cover of 'Principles of Parallel Scientific Computing'

Table of Contents

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    Book Overview
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    Chapter 1 The Pillars of Science
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    Chapter 2 Moore Myths
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    Chapter 3 Our Model Problem (Our First Encounter with the Explicit Euler)
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    Chapter 4 Floating Point Numbers
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    Chapter 5 A Simplistic Machine Model
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    Chapter 6 Round-Off Error Propagation
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    Chapter 7 SIMD Vector Crunching
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    Chapter 8 Arithmetic Stability of an Implementation
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    Chapter 9 Vectorisation of the Model Problem
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    Chapter 10 Conditioning and Well-Posedness
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    Chapter 11 Taylor Expansion
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    Chapter 12 Ordinary Differential Equations
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    Chapter 13 Accuracy and Appropriateness of Numerical Schemes
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    Chapter 14 Writing Parallel Code
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    Chapter 15 Upscaling Models and Scaling Measurements
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    Chapter 16 OpenMP Primer: BSP on Multicores
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    Chapter 17 Shared Memory Tasking
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    Chapter 18 GPGPUs with OpenMP
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    Chapter 19 Higher Order Methods
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    Chapter 20 Adaptive Time Stepping
Attention for Chapter 15: Upscaling Models and Scaling Measurements
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