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by Shamoon Jamshed
Using HPC for Computational Fluid Dynamics
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Title page
Table of Contents
Copyright
Dedication
Preface
Chapter 1. Introduction to CFD
1. Colorful Dynamics or Computational Fluid Dynamics?
2. Clearing Misconceptions about CFD
3. CFD Insight
4. Methods of Discretization
5. Turbulence Should Not Be Taken for Granted
6. Technological Innovations
Chapter 2. Introduction to High-Performance Computing
1. A Short History
2. High-Performance Computing
3. Top Five Supercomputers of the World
4. Some Basic but Important Terminology Used in HPC
Chapter 3. The Way the HPC Works in CFD
1. Introduction
2. Oldest Form of Parallel Computing
3. High-Performance Computing Solver Platform
4. Amdahl's Law
5. Data Handling and Storage
6. Treatment of CFD Algorithms for Parallel Processing
7. Solving Partial Differential Equations
8. Modern Methods of Mesh Partitioning
Chapter 4. High Reynolds Number Flows
1. Universality of Turbulence
2. Direct Numerical Simulation
3. Large Eddy Simulation
4. Detached Eddy Simulation
Chapter 5. Cluster Classification
1. Classification of Clusters
2. Some Useful Terminology
Chapter 6. HPC Benchmarks for CFD
1. How Big Should the Problem Be?
2. Maximum capacity of the critical components of a cluster
3. Commercial Software Benchmarks
4. OpenFOAM® Benchmarking
5. Case Studies of Some Renowned Clusters
6. Conclusion
Chapter 7. Networking and Remote Access
1. Transmission Control Protocol/Internet Protocol
2. Secure SHell
3. WinSCP
4. Running ANSYS FLUENT in an WinHPC Environment
Chapter 8. Graphics Processing Unit Technology
1. Introduction to Graphics Processing Unit
2. Inside a GPU
3. Nvidia Series
4. Compute Unified Device Architecture
5. GPUs in CFD
6. Computational Flow Dynamics Coding on GPUs
7. Final Remarks
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Table of Contents
Using HPC for Computational Fluid Dynamics
A Guide to High Performance Computing for CFD Engineers
Shamoon Jamshed
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