WebGPU Data Visualization Cookbook (2nd Edition)

WebGPU Data Visualization Cookbook (2nd Edition)

Various Authors February 22, 2025 Books, Computers & Technology, Computer Science, AI & Machine Learning, Computer Vision & Pattern Recognition 979-8311744461
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About This Book

WebGPU is a state-of-the-art web-based hardware-acceleration interface for high performance graphics and compute. A emerging use of WebGPU is the development of real-time, high performance data visualization applications in fields ranging from medical imaging, simulations, engineering to cutting-edge extended reality computing. Indeed, data visualization has become increasingly challenging using conventional approaches without graphics hardware acceleration as datasets become larger and more complex, especially with the evolution of big data. WebGPU offers a flexible cross-platform solution for creating stunning visuals in 2D/3D in real-time for a wide range of interactive applications. This book contains a series of hands-on recipes that are tailored to both beginners who have very little experience with the WebGPU API and more advanced users who would like to explore state-of-the-art techniques. We begin with a basic introduction to the WebGPU API and WGSL shader language by demonstrating how to setup a basic project with outputs on screen. You'll then learn how to render basic 2D datasets with primitives, as well as more complex 3D volumetric datasets interactively. This part will focus on low-dimensional datasets that provide a spring-board for larger projects. After this, we transition to more advanced techniques, such as texture mapping for image/video processing, point cloud rendering of depth sensor data from 3D range-sensing cameras and stereoscopic 3D rendering. Also insights into eXtended Reality (XR); as we shift towards developing highly interactive XR applications using the WebXR API. Each recipe in this book gives readers a set of standard functions that can be imported to an existing project and can form the basis for the creation of a diverse array of real-time, interactive data visualization solutions. This book also utilizes a set of popular open-source libraries, such as `gl-matrix', to simplify application development and content management (loading data and models) as well as image/video processing using state-of-the-art compute vision algorithms.

Whether you're a beginner looking to learn the basics or an experienced professional seeking advanced knowledge, this book has something valuable to offer.

Key Features

  • Comprehensive coverage of Books concepts
  • Practical examples and real-world applications
  • Step-by-step tutorials and exercises
  • Written by industry experts
  • Companion website with additional resources

Book Statistics

Rating: 3.5
Reviews: 172
Pages: 723
Language: English
Sales Rank: #9755
Popularity: 64%

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Customer Reviews

Reese Davis
Reese Davis
Senior Developer at Quantum Labs
Not gonna lie, I was pretty curious about graphics, so I gave this a shot. Not too heavy. The vibe is relaxed but still makes you think. It’s one of those reads you can chill with. Nice little break from heavier stuff.
Sawyer Baker
Sawyer Baker
CTO Advisor at BrightMind Ltd
I had such a great time reading this one! It's all about visualization, and - Fun. Each chapter felt like chatting with a really smart friend. It somehow made me laugh and think at the same time. The tone was super inviting without dumbing things down. I loved how it mixed serious insight with friendly storytelling. Give it a try—you might just love it too!
Sage Davis
Sage Davis
Machine Learning Engineer at CyberNest
Worth reading. Helpful. Exactly what I was looking for. Delivered as promised. Covers the topic efficiently. Easy to follow. Not overwhelming, yet thorough. 5 stars!
See All Reviews (478)

Community Discussions

Taylor Roberts
Taylor Roberts
May 8, 2026
This book is a must-read! I especially loved the part about the clear explanations.
Reply
Charlie Baker
Charlie Baker
May 13, 2026
This book is a must-read! I especially loved the part about the practical examples.
Reply
Alex Brown
Alex Brown
May 13, 2026
This book is amazing! I especially loved the part about the technical details.
Reply
Jordan Hernandez
Jordan Hernandez
May 23, 2026
This book is brilliant! I especially loved the part about the author's insights.
Reply
Reese Clark
Reese Clark
May 7, 2026
This book is amazing! I especially loved the part about the practical examples.
Reply
Reese Nelson
Reese Nelson
May 14, 2026
This book is a must-read! I especially loved the part about the clear explanations.
Reply
Reese Davis
Reese Davis
June 3, 2026
This book is amazing! I especially loved the part about the practical examples.
Reply
Taylor Young
Taylor Young
May 8, 2026
This book is fantastic! I especially loved the part about the technical details.
Reply

Get Your Copy Today

WebGPU Data Visualization Cookbook (2nd Edition)
4.1 (1100 reviews)
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Book Details

  • Publisher: Independently published
  • Publication Date: February 22, 2025
  • Language: English
  • ISBN-10: 979-831174
  • ISBN-13: 979-8311744461
  • Pages: 218
  • Dimensions: 7 x 0.7 x 4.2 inches
  • Weight: 2.5 pounds