Warm Your Cockles
WebGPU Development Cookbook
A comprehensive guide to mastering webgpu, graphics, compute and more.
Book Details
- ISBN: 979-8334176218
- Publication Date: July 26, 2024
- Pages: 353
- Publisher: Tech Publications
About This Book
This book provides in-depth coverage of webgpu and graphics, 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 graphics
- Optimize performance in compute 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 graphics. Whether you're building enterprise applications or working on personal projects, you'll find valuable insights and techniques.
Reviews & Discussions
A must-read for anyone trying to master Development. The writing style is clear, concise, and refreshingly jargon-free. I've already seen improvements in my code quality after applying these techniques.
This helped me connect the dots I’d been missing in WebGPU. I’ve already recommended this to several teammates and junior devs.
I was struggling with until I read this book graphics.
I've been recommending this to all my colleagues working with compute.
This book made me rethink how I approach ray-tracing. The troubleshooting tips alone are worth the price of admission.
The author has a gift for explaining complex concepts about WebGPU.
I finally feel equipped to make informed decisions about ray-tracing. I was able to apply what I learned immediately to a client project. I’ve started incorporating these principles into our code reviews.
This resource is indispensable for anyone working in Cookbook. I especially liked the real-world case studies woven throughout.
I’ve shared this with my team to improve our understanding of graphics.
This helped me connect the dots I’d been missing in Development.
This book bridges the gap between theory and practice in ray-tracing.
This helped me connect the dots I’d been missing in graphics. The practical examples helped me implement better solutions in my projects.
This book bridges the gap between theory and practice in compute.
I keep coming back to this book whenever I need guidance on WebGPU.
This book bridges the gap between theory and practice in compute.
This book made me rethink how I approach compute. This book strikes the perfect balance between theory and practical application. I've already seen improvements in my code quality after applying these techniques.
I've been recommending this to all my colleagues working with WebGPU. The exercises at the end of each chapter helped solidify my understanding.
I’ve already implemented several ideas from this book into my work with Cookbook.
I’ve shared this with my team to improve our understanding of compute. The author's real-world experience shines through in every chapter.
This helped me connect the dots I’d been missing in compute.
This book distilled years of confusion into a clear roadmap for webgpu.
The author has a gift for explaining complex concepts about graphics.
This book made me rethink how I approach compute. The exercises at the end of each chapter helped solidify my understanding.
The author has a gift for explaining complex concepts about Development.
This is now my go-to reference for all things related to Cookbook.
After reading this, I finally understand the intricacies of Development.
I finally feel equipped to make informed decisions about ray-tracing. The pacing is perfect—never rushed, never dragging. I’ve started incorporating these principles into our code reviews.
I’ve already implemented several ideas from this book into my work with ray-tracing. I feel more confident tackling complex projects after reading this.
I've read many books on this topic, but this one stands out for its clarity on Cookbook.
I’ve already implemented several ideas from this book into my work with compute.
The clarity and depth here are unmatched when it comes to compute. I particularly appreciated the chapter on best practices and common pitfalls. The clarity of the examples made it easy to onboard new developers.
Join the Discussion
Related Books
101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)
Published: July 10, 2025
View Details
Shaders Unchained: Writing Powerful Shaders for Every Platform
Published: August 28, 2025
View Details