The WebGPU Sourcebook: High-Performance Graphics and Machine Learning in the Browser

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Matthew Scarpino

The WebGPU Sourcebook

High-Performance Graphics and Machine Learning in the Browser

Matthew Scarpino

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English

CRC Press
02 October 2024

The Arts: General & Reference; Web graphics & design; Web programming; Computer science

The WebGPU Sourcebook: High-Performance Graphics and Machine Learning in the Browser 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.

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.

This book walks through several examples of WebGPU usage. It also:

Discusses the classes and functions defined in the WebGPU API and shows how they’re used in practice Explains the theory of graphical rendering and shows how to implement rendering inside a web application Examines the theory of neural networks (machine learning) and shows how to create a web application that trains and executes a neural network

By: Matthew Scarpino
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 229mm, Width: 152mm,
Weight: 710g
ISBN: 9781032726670
ISBN 10: 1032726679
Pages: 374
Publication Date: 02 October 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Forthcoming

Chapter 01 Introduction Chapter 02 Fundamental Objects Chapter 03 Rendering Graphics Chapter 04 The WebGPU Shading Language (WGSL) Chapter 05 Uniforms and Transformations Chapter 06 Lighting, Textures, and Depth Chapter 07 Advanced Features Chapter 08 Compute Applications Chapter 09 Machine Learning with Neural Networks Chapter 10 Image and Video Processing Chapter 11 Matrix Operations Chapter 12 Filtering Audio with the Fast Fourier Transform (FFT) Appendix A Node and TypeScript Appendix B WebAssembly, Emscripten, and Google Dawn

Matthew Scarpino is a software developer at Purdue University. He has worked on many different types of programming projects, including web applications, graphical rendering, and high-performance computing. He received his Master’s in Electrical Engineering in 2002, and has been a professional programmer and author ever since.