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The WebGPU Sourcebook - Matthew Scarpino

The WebGPU Sourcebook

High-Performance Graphics and Machine Learning in the Browser
Buch | Hardcover
374 Seiten
2024
CRC Press (Verlag)
978-1-032-72840-7 (ISBN)
CHF 199,95 inkl. MwSt
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This explains how to code web applications that use WebGPU to access the client’s graphics processing unit (GPU). This makes it possible to render graphics at high-speed in a browser and perform computationally-intensive tasks such as machine learning.
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

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.

1. Introduction, 2. Fundamental Objects, 3. Rendering Graphics, 4. The WebGPU Shading Language (WGSL), 5. Uniforms and Transformations, 6. Lighting, Textures, and Depth, 7. Advanced Features, 8. Compute Applications, 9. Machine Learning with Neural Networks, 10. Image and Video Processing, 11. Matrix Operations, 12. Filtering Audio with the Fast Fourier Transform (FFT), Appendix A: Node and TypeScript, Appendix B: WebAssembly, Emscripten, and Google Dawn

Erscheinungsdatum
Zusatzinfo 101 Tables, black and white; 69 Line drawings, black and white; 7 Halftones, black and white; 76 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 152 x 229 mm
Gewicht 866 g
Themenwelt Kunst / Musik / Theater
Mathematik / Informatik Informatik Theorie / Studium
Informatik Web / Internet Web Design / Usability
ISBN-10 1-032-72840-X / 103272840X
ISBN-13 978-1-032-72840-7 / 9781032728407
Zustand Neuware
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