Matthew Scarpino

The WebGPU Sourcebook (eBook, PDF)

High-Performance Graphics and Machine Learning in the Browser

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 384
• Erscheinungstermin: 2. Oktober 2024
• Englisch
• ISBN-13: 9781040124765
• Artikelnr.: 72246272

Autorenporträt

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.

Inhaltsangabe

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