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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 review2

Did not live up to the description

Not for me. The pacing did not work and I struggled to finish it.

I was looking for something that would bridge the gap between tutorials and proper reference material, and this does that well. The progression from chapter to chapter is well thought out; nothing feels out of order. Some of the diagrams are dense and I had to reread a few sections, though that may just be me. I would look elsewhere unless you have a specific reason to need this particular title.

Ahmed SanchezBioinformatics researcher · Warsaw, PL
Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL
Reader review3

Not quite what I expected

Not quite what I expected from the description, but there is material here.

A colleague recommended this and I can see why. It does something that few technical books manage: it respects the reader's time. The chapters on algorithms are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. A couple of chapters felt like they could have been merged, but that is a minor complaint. Some of the diagrams are dense and I had to reread a few sections, though that may just be me. Useful as a reference, less so as a straight read from cover to cover.

Isabella DavisUniversity lecturer · Oslo, NO
Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL
Reader review3

Good in places

Not quite what I expected from the description, but there is material here.

This is the third book I have read on algorithms this year, and it is comfortably the best of them. The progression from chapter to chapter is well thought out; nothing feels out of order. The book rewards careful reading. Skimming it would be a mistake. Useful as a reference, less so as a straight read from cover to cover.

Zoe MurphyCompiler engineer · Rome, IT
Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL

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THE BOOKS

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GPU Computing

WebGL Compute

A hands‑on guide to using WebGL for general‑purpose GPU computation in the browser.

Learn how to use WebGL for non‑graphical GPU computation.

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Parallel Programming

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.

HELP. WHAT SHOULD I READ NEXT?

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