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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.
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