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Metal Programming Guide: Tutorial and Reference via Swift

Metal Programming Guide: Tutorial and Reference via Swift

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  • List Price: $39.99
  • Estimated Release: Dec 15, 2017
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Description

  • Copyright 2018
  • Dimensions: 7" x 9-1/8"
  • Pages: 352
  • Edition: 1st
  • eBook (Watermarked)
  • ISBN-10: 0-13-466899-5
  • ISBN-13: 978-0-13-466899-4

Metal enables Apple iOS and macOS platform developers to maximize performance in demanding tasks like 3D graphics, games, scientific programming, visualization, and now GPU-accelerated machine learning. Apple’s Swift + Metal combination runs faster than nearly any other language used in these areas. Now, there’s an authoritative and 100% practical guide to making the most of Metal. Pioneering Apple developer Janie Clayton covers everything from simple draw calls to advanced parallel computing, teaching through hands-on projects and industry-realistic code samples. She covers a wide array of applications, from 2D and 3D graphics to neural networking. Clayton offers a uniquely valuable perspective on high-performance data-parallel programming with Metal -- a topic that has been woefully underserved by earlier resources. She also offers expert guidance on Metal performance and debugging, helping you capture every iota of performance the Metal API and shader language can offer.

Sample Content

Table of Contents

Preface

Acknowledgments

About the Author


Part I: Metal Basics

Chapter 1: What Is Metal?

Chapter 2: Overview of Rendering and Raster Graphics

Chapter 3: Your First Metal Application (Hello, Triangle!)


Part II: Rendering and Graphics

Chapter 4: Essential Mathematics for Graphics

Chapter 5: Intro to Shaders

Chapter 6: Metal Resources and Memory Management

Chapter 7: Libraries, Functions, and Pipeline States

Chapter 8: 2D Drawing

Chapter 9: Introduction to 3D Drawing

Chapter 10: Advanced 3D Drawing

Chapter 11: Interfacing with Model I/O

Chapter 12: Texturing and Sampling

Chapter 13: Multi-Pass Rendering Techniques

Chapter 14: Geometry Unleashed: Tessellation in Metal


Part III: Data Parallel Programming

Chapter 15: The Metal Compute Pipeline

Chapter 16: Image Processing in Metal

Chapter 17: Machine Vision

Chapter 18: Metal Performance Shaders Framework

Chapter 19: Neural Network Concepts

Chapter 20: Convolutional Neural Networks


Index

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