WebGPU Sourcebook

<p><em>The WebGPU Sourcebook: High-Performance Graphics and Machine Learning in the Browser</em> explains how to code web applications that access the client’s graphics processor unit or GPU. This makes it possible to render graphics in a browser at high speed and perform computationally intensive tasks such as machine learning. By taking advantage of WebGPU web developers can harness the same performance available to desktop developers.</p><p>The first part of the book introduces WebGPU at a high level without graphics theory or heavy math. The chapters in the second part are focused on graphical rendering and the rest of the book focuses on compute shaders.</p><p>This book walks through several examples of WebGPU usage. It also:</p><ul> <li>Discusses the classes and functions defined in the WebGPU API and shows how they’re used in practice</li> <li>Explains the theory of graphical rendering and shows how to implement rendering inside a web application</li> <li>Examines the theory of neural networks (machine learning) and shows how to create a web application that trains and executes a neural network</li> </ul>