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GPU Programming in MATLAB
판매가격 49,000원
저자 Ploskas
도서종류 외국도서
출판사 Morgan Kaufmann
발행언어 영어
발행일 2016-7
페이지수 318
ISBN 9780128051320
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    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
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