Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL

By Kenwright

A modern take on classic computing principles, this book explores how data structures and algorithms evolve in the age of parallelism and GPU acceleration.

Pages: 746
Publication: 5 October 2025
Language: English
ISBN: 9798272012067

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There is a strong reading opportunity in the space between Computer Science and Algorithms. “Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL” brings those listed subjects onto the same shelf and gives your next question a place to start. WebGPU connects browser-based graphics and computation with highly visible possibilities. Choose a scene, data display, or small parallel task and use it to organise the concepts you want to explore. Bring your strongest question to the material. Examine a claim, consider an alternative, and ask what evidence would settle the difference. There is real satisfaction in turning a broad interest into a sharper judgement. Save it for the next time you want to follow the idea further.

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Explore Computer Science, Algorithms, Data Structures with a reading approach that gives the ideas somewhere to go. WebGPU connects browser-based graphics and computation with highly visible possibilities. Choose a scene, data display, or small parallel task and use it to organise the concepts you want to explore.

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Publisher’s synopsis

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.

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