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Cover of Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL FROM THE BOOK CATALOGUE

Computer Science

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

By Kenwright

Discover how parallelism and GPU computing reshape traditional data structures and algorithms.

WHAT THE PUBLISHER HIGHLIGHTS

  • Learn how to adapt algorithms for parallel execution.
  • Understand GPU computing with WebGPU and WGSL.
  • Explore modern rendering techniques and data structures.

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Catalogue reference: 94cb5de6043260a3

INSIDE THE BOOK

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.

From the publisher’s description

  • 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.

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ANOTHER PERSPECTIVE

Readers, in their own words

Explore reviews
Reader review5

Outstanding introduction

Better than I expected. Rare to find a technical book this well judged.

I bought this on a whim after seeing it mentioned in a forum thread, and I am glad I did. The author clearly knows the subject deeply and has thought hard about how to teach it. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. The author is unusually honest about where the simplifications break down, which I appreciated. This is the book I wish had existed when I started working with algorithms.

Nadia RichardsonMLOps engineer · Copenhagen, DK
Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL
Reader review5

Better than I expected

Outstanding. I kept finding reasons to come back to it.

I read this over a couple of weekends alongside a small side project, which turned out to be the ideal way to approach it. Some terminology is introduced without much ceremony; I had to look a few things up along the way. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. The chapters on algorithms are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. If you have the prerequisites, this is an easy recommendation. I will be keeping it on my desk rather than the shelf.

Andrew LeeFrontend developer · Madrid, ES
Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL
Reader review5

The best book on this subject I have read

Outstanding. I kept finding reasons to come back to it.

I bought this on a whim after seeing it mentioned in a forum thread, and I am glad I did. The author clearly knows the subject deeply and has thought hard about how to teach it. The author is unusually honest about where the simplifications break down, which I appreciated. I have already recommended it to two colleagues and will recommend it to more.

Nathan CampbellIndie game developer · Vancouver, BC
Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL

BEYOND THE BOOKSHELF

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OpenCL Compute

A practical guide to mastering OpenCL for cross‑platform GPU and CPU compute programming.

Learn how to write OpenCL kernels for GPUs and CPUs.

A GOOD READ. THEN AN ENCORE.

Ask what a second perspective could add to your current understanding.

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