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WebGPU and WGSL by Example: Fractals, Image Effects, Ray-Tracing, Procedural Geometry, 2D/3D, Particles, Simulations
A comprehensive guide to mastering webgpu, wgsl, programming and more.
Book Details
- ISBN: 979-8320006857
- Publication Date: March 17, 2024
- Pages: 321
- 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 programming 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
This book distilled years of confusion into a clear roadmap for Procedural. Each section builds logically and reinforces key concepts without being repetitive. The clear explanations make complex topics accessible to developers of all levels.
I’ve shared this with my team to improve our understanding of Particles,. The author's real-world experience shines through in every chapter.
I've been recommending this to all my colleagues working with WebGPU.
I’ve bookmarked several chapters for quick reference on Particles,.
This resource is indispensable for anyone working in Example:.
After reading this, I finally understand the intricacies of visualization. The tone is encouraging and empowering, even when tackling tough topics.
This book made me rethink how I approach visualization.
This book bridges the gap between theory and practice in WebGPU.
A must-read for anyone trying to master Ray-Tracing,. I especially liked the real-world case studies woven throughout.
This book offers a fresh perspective on graphics.
The author's experience really shines through in their treatment of Particles,.
This book offers a fresh perspective on Effects,.
I’ve shared this with my team to improve our understanding of Image. Each section builds logically and reinforces key concepts without being repetitive. The sections on optimization helped me reduce processing time by over 30%.
The examples in this book are incredibly practical for visualization. The exercises at the end of each chapter helped solidify my understanding.
This is now my go-to reference for all things related to graphics.
It’s the kind of book that stays relevant no matter how much you know about ray-tracing.
This helped me connect the dots I’d been missing in Example:.
This book gave me the confidence to tackle challenges in visualization. I’ve already recommended this to several teammates and junior devs. The testing strategies have improved our coverage and confidence.
This helped me connect the dots I’d been missing in visualization. I was able to apply what I learned immediately to a client project.
This resource is indispensable for anyone working in Effects,.
This book distilled years of confusion into a clear roadmap for Image. I appreciated the thoughtful breakdown of common design patterns. It’s helped me write cleaner, more maintainable code across the board.
I’ve already implemented several ideas from this book into my work with Simulations. The author’s passion for the subject is contagious.
It’s like having a mentor walk you through the nuances of simulation.
I finally feel equipped to make informed decisions about Fractals,.
The clarity and depth here are unmatched when it comes to webgpu. I particularly appreciated the chapter on best practices and common pitfalls. We’ve adopted several practices from this book into our sprint planning.
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