GPU Programming in MATLAB > 그래픽

Table of Contents
Dedication
About the Authors
Foreword
Preface
Chapter 1: Introduction
Abstract
1.1 Parallel Programming
1.2 GPU Programming
1.3 CUDA Architecture
1.4 Why GPU Programming in MATLAB? When to Use GPU Programming?
1.5 Our Approach: Organization of the Book
1.6 Chapter Review
Chapter 2: Getting started
Abstract
Chapter Objectives
2.1 Hardware Requirements
2.2 Software Requirements
2.2.1 NVIDIA CUDA Toolkit
2.3 Chapter Review
Chapter 3: Parallel Computing Toolbox
Abstract
3.1 Product Description and Objectives
3.2 Parallel for-Loops (parfor)
3.3 Single Program Multiple Data (spmd)
3.4 Distributed and Codistributed Arrays
3.5 Interactive Parallel Development (pmode)
3.6 GPU Computing
3.7 Clusters and Job Scheduling
3.8 Chapter Review
Chapter 4: Introduction to GPU programming in MATLAB
Abstract
4.1 GPU Programming Features in MATLAB
4.2 GPU Arrays
4.3 Built-in MATLAB Functions for GPUs
4.4 Element-Wise MATLAB Code on GPUs
4.5 Chapter Review
Chapter 5: GPU programming on MATLAB toolboxes
Abstract
5.1 Communications System Toolbox
5.2 Image Processing Toolbox
5.3 Neural Network Toolbox
5.4 Phased Array System Toolbox
5.5 Signal Processing Toolbox
5.6 Statistics and Machine Learning Toolbox
5.7 Chapter Review
Chapter 6: Multiple GPUs
Abstract
6.1 Identify and Run Code on a Specific GPU Device
6.2 Examples Using Multiple GPUs
6.3 Chapter Review
Chapter 7: Run CUDA or PTX code
Abstract
7.1 A Brief Introduction to CUDA C
7.2 Steps to Run CUDA or PTX Code on a GPU Through MATLAB
7.3 Example: Vector Addition
7.4 Example: Matrix Multiplication
7.5 Chapter Review
Chapter 8: MATLAB MEX functions containing CUDA code
Abstract
8.1 A Brief Introduction to MATLAB MEX Files
8.2 Steps to Run MATLAB MEX Functions on GPU
8.3 Example: Vector Addition
8.4 Example: Matrix Multiplication
8.5 Chapter Review
Chapter 9: CUDA-accelerated libraries
Abstract
9.1 Introduction
9.2 cuBLAS
9.3 cuFFT
9.4 cuRAND
9.5 cuSOLVER
9.6 cuSPARSE
9.7 NPP
9.8 Thrust
9.9 Chapter Review
Chapter 10: Profiling code and improving GPU performance
Abstract
10.1 MATLAB Profiling
10.2 CUDA Profiling
10.3 Best Practices for Improving GPU Performance
10.4 Chapter Review
References
List of Examples
Index