Techo Reads
Foundations of Graphics & Compute: Volume 3: Computing
A comprehensive guide to mastering webgpu, wgsl, programming and more.
Book Details
- ISBN: 979-8339372837
- Publication Date: September 16, 2024
- Pages: 558
- 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
It’s the kind of book that stays relevant no matter how much you know about simulation. The author’s passion for the subject is contagious. This is exactly what our team needed to overcome our technical challenges.
I finally feel equipped to make informed decisions about graphics. I was able to apply what I learned immediately to a client project.
This book gave me the confidence to tackle challenges in compute.
This book bridges the gap between theory and practice in programming. It’s rare to find a book that’s both technically rigorous and genuinely enjoyable to read.
I've read many books on this topic, but this one stands out for its clarity on machine learning.
The author has a gift for explaining complex concepts about Computing.
This book completely changed my approach to webgpu. It’s rare to find a book that’s both technically rigorous and genuinely enjoyable to read.
This book bridges the gap between theory and practice in webgpu.
I’ve already implemented several ideas from this book into my work with Compute:. I was able to apply what I learned immediately to a client project. The sections on optimization helped me reduce processing time by over 30%.
The practical advice here is immediately applicable to machine learning. It’s the kind of book you’ll keep on your desk, not your shelf.
This book gave me the confidence to tackle challenges in programming.
The examples in this book are incredibly practical for shader.
The writing is engaging, and the examples are spot-on for compute. Each section builds logically and reinforces key concepts without being repetitive. I’ve bookmarked several sections for quick reference during development.
The insights in this book helped me solve a critical problem with Computing. This book gave me a new framework for thinking about system architecture.
This book completely changed my approach to Computing.
The clarity and depth here are unmatched when it comes to Graphics.
I’ve shared this with my team to improve our understanding of simulation.
I’ve already implemented several ideas from this book into my work with Computing. I was able to apply what I learned immediately to a client project. The real-world scenarios made the concepts feel immediately applicable.
This book made me rethink how I approach webgpu. I found myself highlighting entire pages—it’s that insightful.
It’s the kind of book that stays relevant no matter how much you know about graphics.
I keep coming back to this book whenever I need guidance on Foundations. The author's real-world experience shines through in every chapter.
This book completely changed my approach to machine learning.
The writing is engaging, and the examples are spot-on for Compute:.
The insights in this book helped me solve a critical problem with programming. I especially liked the real-world case studies woven throughout. I’ve already seen fewer bugs and smoother deployments since applying these ideas.
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