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    C++ AMP

    • C++ AMP

    • By: ;

    • Publisher: Microsoft Press

    • Pub. Date:

    • Print ISBN-13: 978-0-7356-6473-9

    • Pages in Print Edition: 358

    • Subscriber Rating: 5 out of 5 rating5 [1 Rating]

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    Overview

    Capitalize on the faster GPU processors in today’s computers with the C++ AMP code library—and bring massive parallelism to your project. With this practical book, experienced C++ developers will learn parallel programming fundamentals with C++ AMP through detailed examples, code snippets, and case studies.

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    Table of Contents

     

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    C++ AMP: Accelerated Massive Parallelism with Microsoft® Visual C++®

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    Dedication

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    Foreword

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    Introduction
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    Who Should Read This Book

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    Who Should Not Read This Book

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    Organization of This Book

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    Conventions and Features in This Book

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    System Requirements

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    Code Samples

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    Acknowledgments

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    Errata & Book Support

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    We Want to Hear from You

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    Stay in Touch

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    1. Overview and C++ AMP Approach
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    Why GPGPU? What Is Heterogeneous Computing?

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    Technologies for CPU Parallelism

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    The C++ AMP Approach

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    Summary

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    2. NBody Case Study
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    Prerequisites for Running the Example

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    Running the NBody Sample

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    Structure of the Example

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    CPU Calculations

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    The CPU NBody Classes

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    C++ AMP Calculations

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    The C++ AMP NBody Classes

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    Summary

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    3. C++ AMP Fundamentals
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    array<T, N>

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    accelerator and accelerator_view

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    index<N>

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    extent<N>

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    array_view<T, N>

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    parallel_for_each

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    Functions Marked with restrict(amp)

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    Copying between CPU and GPU

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    Math Library Functions

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    Summary

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    4. Tiling
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    Purpose and Benefit of Tiling

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    tile_static Memory

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    tiled_extent

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    tiled_index<N1, N2, N3>

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    Modifying a Simple Algorithm into a Tiled One

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    Effects of Tile Size

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    Choosing Tile Size

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    Summary

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    5. Tiled NBody Case Study
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    How Much Does Tiling Boost Performance for NBody?

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    Tiling the n-body Algorithm

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    Using the Concurrency Visualizer

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    Choosing Tile Size

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    Summary

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    6. Debugging
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    First Steps

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    GPU Debugging Basics

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    Seeing Threads

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    Taking More Control

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    Summary

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    7. Optimization
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    An Approach to Performance Optimization

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    Analyzing Performance

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    Optimizing Memory Access Patterns

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    Optimizing Computation

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    Summary

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    8. Performance Case Study—Reduction
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    The Problem

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    Case Study Structure

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    CPU Algorithms

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    C++ AMP Algorithms

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    Summary

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    9. Working with Multiple Accelerators
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    Choosing Accelerators

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    Using More Than One GPU

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    Swapping Data among Accelerators

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    Dynamic Load Balancing

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    Braided Parallelism

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    Falling Back to the CPU

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    Summary

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    10. Cartoonizer Case Study
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    Prerequisites

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    Running the Sample

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    Structure of the Sample

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    The Pipeline

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    The Pipeline Cartoonizing Stage

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    Using Multiple C++ AMP Accelerators

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    Cartoonizer Performance

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    Summary

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    11. Graphics Interop
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    Fundamentals

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    Using Textures and Short Vectors

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    HLSL Intrinsic Functions

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    DirectX Interop

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    Summary

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    12. Tips, Tricks, and Best Practices
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    Dealing with Tile Size Mismatches

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    Initializing Arrays

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    Function Objects vs. Lambdas

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    Atomic Operations

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    Additional C++ AMP Features on Windows 8

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    Time-Out Detection and Recovery

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    Double-Precision Support

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    Debugging on Windows 7

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    Additional Debugging Functions

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    Deployment

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    C++ AMP and Windows 8 Windows Store Apps

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    Using C++ AMP from Managed Code

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    Summary

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    A. Other Resources
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    More from the Authors

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    Microsoft Online Resources

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    Download C++ AMP Guides

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    Code and Support

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    Training

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    Index

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    About the Authors

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    Copyright

    Extras

    The publisher has provided additional content related to this title.


    Description
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