Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL
A comprehensive guide to mastering Parallel Computing, GPU Programming, WebGPU and more.
Book Details
- ISBN: 9798272012067
- Publication Date: October 5, 2025
- Pages: 440
- Publisher: Tech Publications
About This Book
This book provides in-depth coverage of Parallel Computing and GPU Programming, offering practical insights and real-world examples that developers can apply immediately in their projects.
What You'll Learn
- Master the fundamentals of Parallel Computing
- Implement advanced techniques for GPU Programming
- Optimize performance in WebGPU 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 Parallel Computing and GPU Programming. Whether you're building enterprise applications or working on personal projects, you'll find valuable insights and techniques.
Reviews & Discussions
I’ve shared this with my team to improve our understanding of Rendering. I found myself highlighting entire pages—it’s that insightful. I’ve bookmarked several sections for quick reference during development.
After reading this, I finally understand the intricacies of WebGPU. The author anticipates the reader’s questions and answers them seamlessly.
After reading this, I finally understand the intricacies of Data Structures.
I wish I'd discovered this book earlier—it’s a game changer for Structures. The pacing is perfect—never rushed, never dragging. It’s helped me write cleaner, more maintainable code across the board.
I’ve shared this with my team to improve our understanding of WebGPU. The writing style is clear, concise, and refreshingly jargon-free.
This book completely changed my approach to Parallel.
A must-read for anyone trying to master GPU Programming.
I finally feel equipped to make informed decisions about Algorithms. I’ve already recommended this to several teammates and junior devs.
This book gave me the confidence to tackle challenges in Visual.
I've read many books on this topic, but this one stands out for its clarity on Parallel. The code samples are well-documented and easy to adapt to real projects. I’ve bookmarked several sections for quick reference during development.
I’ve already implemented several ideas from this book into my work with Structures,. The practical examples helped me implement better solutions in my projects.
The examples in this book are incredibly practical for Visual.
I’ve already implemented several ideas from this book into my work with Data Structures.
I keep coming back to this book whenever I need guidance on Computing,. The troubleshooting tips alone are worth the price of admission.
I was struggling with until I read this book Structures,.
This book distilled years of confusion into a clear roadmap for Data Structures.
It’s like having a mentor walk you through the nuances of Parallel. The code samples are well-documented and easy to adapt to real projects. I’ve used several of the patterns described here in production already.
The writing is engaging, and the examples are spot-on for Structures. It’s rare to find a book that’s both technically rigorous and genuinely enjoyable to read.
After reading this, I finally understand the intricacies of Graphics Rendering.
This resource is indispensable for anyone working in Algorithms:.
I’ve shared this with my team to improve our understanding of Parallel. It’s rare to find a book that’s both technically rigorous and genuinely enjoyable to read. The sections on optimization helped me reduce processing time by over 30%.
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