Extracto
Contents
Abstract
Declaration
Copyright
Acknowledgements
1 Introduction
1.1 Computation in Electromagnetism
1.1.1 Maxwell’s Equations
1.1.2 Finite-Difference Time-Domain (FDTD)
1.2 Computational Parallelization Techniques & GPGPU
1.2.1 Parallel Computer Architecture
1.2.2 Parallel Algorithms & Programs
1.2.3 Emerging Parallelization Techniques: GPGPU
1.3 The Problem and The Objective
1.4 Thesis Overview
1.5 Original Contribution
2 Electromagnetism & Finite-Difference Time-Domain - Overview
2.1 Maxwell’s Equations
2.2 Finite-Difference Time-Domain (FDTD)
2.2.1 Frequency Dependent Material Parameters & Frequency Dependent FDTD
2.2.2 Boundary Condition
2.3 Summary of Maxwell’s Equations and FDTD Method
2.4 Computer Implementation of FDTD Method
2.4.1 Basics of FORTRAN 90 Programming
2.4.2 Implementation of FDTD Method
2.5 Advantages and Limitations of FDTD Computation
2.6 Concluding Remarks
3 Computation of FDTD on GPGPU using CUDA Programming
3.1 GPGPU - The Parallelization Monster and Computation Techniques .
3.2 CUDA and CUDA Fortran
3.3 CUDA Implementation of FDTD Method for GPGPU Computation .
3.4 Computation on Nvidia’s General Purpose GPU
3.4.1 GPU Hardware and support for FDTD Computation
3.4.2 Memory Coalescing
3.5 Execution of FDTD Method on GPU Hardware
3.6 Concluding Remarks
4 The Solution to The Problem
4.1 The Problem - Revisited
4.2 The Solution
4.3 Programmatic Implementation of the Solution
4.3.1 Implementation
4.3.2 Invoking Buffer Kernel
4.4 Possible Limitations and their Solutions
4.5 Concluding Remarks
5 Evaluation and Validation of The Solution
5.1 Testing of the Implemented Solution
5.1.1 Input Parameters for FDTD Computation
5.1.2 Hardware Environment
5.1.3 Test Results
5.2 Critical Analysis & Evaluation of Test Results
5.2.1 Speed-Up Analysis
5.2.2 Evaluation and Comments
6 Conclusion and Future Scope
6.1 Future Scope
6.2 Conclusion
Bibliography
A Survey Questions posted
A.1 Survey Questions posted via email and Researchgate OSN platform .
- Citar trabajo
- Somdip Dey (Autor), 2014, Efficient Data Input/Output (I/O) for Finite Difference Time Domain (FDTD). Computation on Graphics Processing Unit (GPU), Múnich, GRIN Verlag, https://www.grin.com/document/462250
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