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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: 426
- 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
The author has a gift for explaining complex concepts about Computing,. Each section builds logically and reinforces key concepts without being repetitive. I'm planning to use this as a textbook for my team's training program.
This book completely changed my approach to Visual. The diagrams and visuals made complex ideas much easier to grasp.
The writing is engaging, and the examples are spot-on for Parallel Computing.
It’s rare to find something this insightful about Algorithms.
A must-read for anyone trying to master Data Structures.
The clarity and depth here are unmatched when it comes to Data Structures. I was able to apply what I learned immediately to a client project. The emphasis on readability and structure has elevated our entire codebase.
I wish I'd discovered this book earlier—it’s a game changer for WebGPU. I appreciated the thoughtful breakdown of common design patterns.
This is now my go-to reference for all things related to Visual.
I keep coming back to this book whenever I need guidance on Parallel. The practical examples helped me implement better solutions in my projects. I've already seen improvements in my code quality after applying these techniques.
This book made me rethink how I approach WebGPU. I appreciated the thoughtful breakdown of common design patterns.
This book offers a fresh perspective on Algorithms.
This helped me connect the dots I’d been missing in Structures. It’s the kind of book you’ll keep on your desk, not your shelf. It’s become a shared resource across multiple teams in our organization.
This book completely changed my approach to WebGPU. The author’s passion for the subject is contagious.
This book distilled years of confusion into a clear roadmap for Graphics Rendering.
I keep coming back to this book whenever I need guidance on Graphics Rendering.
This book bridges the gap between theory and practice in Algorithms:. I especially liked the real-world case studies woven throughout.
The author has a gift for explaining complex concepts about Algorithms:.
This book made me rethink how I approach Graphics Rendering.
This is now my go-to reference for all things related to Data Structures.
I've been recommending this to all my colleagues working with Structures. The author’s passion for the subject is contagious.
It’s the kind of book that stays relevant no matter how much you know about Structures,. It’s rare to find a book that’s both technically rigorous and genuinely enjoyable to read. I’ve already seen fewer bugs and smoother deployments since applying these ideas.
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