Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL
Quick Facts
- Author: Kenwright
- Publication Date: October 5, 2025
- Pages: 746 pages
- Language: English
- ISBN: 9798272012067
About This Book
As computing shifts toward parallel architectures and GPU acceleration, traditional approaches to data structures and algorithms must evolve. This book dives into the challenges and opportunities of modern computing, introducing readers to WebGPU and WGSL as tools for high-performance rendering and computation. Learn how to adapt classic structures like trees, graphs, and queues for parallel execution, and explore how algorithms behave in massively concurrent environments. Ideal for developers, researchers, and students aiming to stay ahead in the computing landscape.
Our Review
Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL by Kenwright is a reimagine algorithms for the parallel age. that delivers on its promise to learn how to adapt algorithms for parallel execution. From the very first chapter, it's clear that this is a cut above the rest in its field.
The book excels in its comprehensive and engaging approach to computer science. The author includes understand GPU computing with WebGPU and WGSL. and explore modern rendering techniques and data structures. that make complex topics accessible to readers of all levels. Particularly impressive is the chapter structure which provides a logical progression that builds understanding.
Readers will appreciate the practical applications throughout. From theory to GPU-powered execution. that bridge the gap between traditional CS theory and modern hardware. that will enhance your understanding and skills. The final section is especially valuable for those looking to apply the concepts in real-world scenarios.
In conclusion, Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL is an outstanding contribution to its field. The combination of a modern take on classic computing principles, this book explores how data structures and algorithms evolve in the age of parallelism and GPU acceleration. makes it one of the most valuable resources we've encountered. We give it our highest recommendation.
Why You'll Love It
- Learn how to adapt algorithms for parallel execution.
- Understand GPU computing with WebGPU and WGSL.
- Explore modern rendering techniques and data structures.
- Bridge the gap between traditional CS theory and modern hardware.
Book Statistics
Reading Level: Beginner
Average Read Time: 18 hours 39 minutes
Reviews: 85%
Recommendation Rate: 95%
