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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: 435
- 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
This book distilled years of confusion into a clear roadmap for Algorithms:. I appreciated the thoughtful breakdown of common design patterns. The debugging strategies outlined here saved me hours of frustration.
The author's experience really shines through in their treatment of GPU Programming. The code samples are well-documented and easy to adapt to real projects.
I’ve bookmarked several chapters for quick reference on Structures.
This book offers a fresh perspective on Data Structures.
A must-read for anyone trying to master WebGPU.
The writing is engaging, and the examples are spot-on for Parallel Computing. It’s rare to find a book that’s both technically rigorous and genuinely enjoyable to read. The performance gains we achieved after implementing these ideas were immediate.
This helped me connect the dots I’d been missing in Parallel. The tone is encouraging and empowering, even when tackling tough topics.
This book made me rethink how I approach Computing,.
I keep coming back to this book whenever I need guidance on Algorithms.
The practical advice here is immediately applicable to Structures.
I’ve shared this with my team to improve our understanding of Algorithms. It’s packed with practical wisdom that only comes from years in the field.
The practical advice here is immediately applicable to Algorithms.
This is now my go-to reference for all things related to Structures,.
I wish I'd discovered this book earlier—it’s a game changer for Algorithms:.
The clarity and depth here are unmatched when it comes to Parallel Computing. It’s packed with practical wisdom that only comes from years in the field.
A must-read for anyone trying to master Parallel.
I was struggling with until I read this book Parallel Computing.
I've been recommending this to all my colleagues working with Rendering. I appreciated the thoughtful breakdown of common design patterns. It’s helped me mentor junior developers more effectively.
It’s the kind of book that stays relevant no matter how much you know about Structures,. The exercises at the end of each chapter helped solidify my understanding.
The writing is engaging, and the examples are spot-on for WebGPU.
This book completely changed my approach to Structures.
After reading this, I finally understand the intricacies of Rendering. The author’s passion for the subject is contagious.
This book completely changed my approach to GPU Programming.
This book bridges the gap between theory and practice in Rendering. The author anticipates the reader’s questions and answers them seamlessly.
This book made me rethink how I approach Algorithms.
I wish I'd discovered this book earlier—it’s a game changer for Parallel.
The practical advice here is immediately applicable to Rendering. It’s the kind of book you’ll keep on your desk, not your shelf. It’s helped me write cleaner, more maintainable code across the board.
A must-read for anyone trying to master Algorithms:. The diagrams and visuals made complex ideas much easier to grasp.
It’s rare to find something this insightful about Parallel Computing.
I was struggling with until I read this book Parallel Computing. The tone is encouraging and empowering, even when tackling tough topics. It’s helped me write cleaner, more maintainable code across the board.
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