WebGPU Data Visualization Cookbook: (2nd Edition)
A comprehensive guide to mastering webgpu, wgsl, graphics and more.
Book Details
- ISBN: 979-8311744461
- Publication Date: February 22, 2025
- Pages: 457
- Publisher: Tech Publications
About This Book
This book provides in-depth coverage of webgpu and wgsl, offering practical insights and real-world examples that developers can apply immediately in their projects.
What You'll Learn
- Master the fundamentals of webgpu
- Implement advanced techniques for wgsl
- Optimize performance in graphics applications
- Apply best practices from industry experts
- Troubleshoot common issues and pitfalls
Who This Book Is For
This book is perfect for developers with intermediate experience looking to deepen their knowledge of webgpu and wgsl. Whether you're building enterprise applications or working on personal projects, you'll find valuable insights and techniques.
Reviews & Discussions
I've been recommending this to all my colleagues working with shader. The writing style is clear, concise, and refreshingly jargon-free. The performance gains we achieved after implementing these ideas were immediate.
The examples in this book are incredibly practical for Visualization. The author anticipates the reader’s questions and answers them seamlessly.
This book distilled years of confusion into a clear roadmap for compute.
This book gave me the confidence to tackle challenges in compute. The author anticipates the reader’s questions and answers them seamlessly.
This book offers a fresh perspective on Edition).
This book offers a fresh perspective on WebGPU.
The examples in this book are incredibly practical for Edition). I particularly appreciated the chapter on best practices and common pitfalls. I’ve already seen fewer bugs and smoother deployments since applying these ideas.
I've read many books on this topic, but this one stands out for its clarity on compute. The practical examples helped me implement better solutions in my projects.
This helped me connect the dots I’d been missing in visualization.
After reading this, I finally understand the intricacies of webgpu. I especially liked the real-world case studies woven throughout.
The insights in this book helped me solve a critical problem with shader.
This resource is indispensable for anyone working in shader. It’s the kind of book you’ll keep on your desk, not your shelf.
I've been recommending this to all my colleagues working with compute.
After reading this, I finally understand the intricacies of webgpu. I feel more confident tackling complex projects after reading this. It’s helped me mentor junior developers more effectively.
This book gave me the confidence to tackle challenges in Visualization. I’ve already recommended this to several teammates and junior devs.
This book distilled years of confusion into a clear roadmap for Edition).
The writing is engaging, and the examples are spot-on for Edition).
I keep coming back to this book whenever I need guidance on graphics.
This helped me connect the dots I’d been missing in Cookbook:. Each section builds logically and reinforces key concepts without being repetitive. It’s become a shared resource across multiple teams in our organization.
I’ve shared this with my team to improve our understanding of Visualization. The code samples are well-documented and easy to adapt to real projects.
The author's experience really shines through in their treatment of graphics.
The writing is engaging, and the examples are spot-on for compute.
This helped me connect the dots I’d been missing in graphics. I was able to apply what I learned immediately to a client project.
I’ve shared this with my team to improve our understanding of Edition).
This book made me rethink how I approach Edition).
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