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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.

Computer ScienceAlgorithmsData StructuresGPU ComputingWebGPUParallel ProgrammingGraphics Programming

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.

Explore the topics

Parallel ComputingGPU ProgrammingWebGPUWGSLData StructuresAlgorithmsGraphics Rendering

ANOTHER PERSPECTIVE

Readers, in their own words

Explore reviews
Reader review5

Finally, an explanation that clicks

A genuinely enjoyable read that also taught me a great deal.

I came to this book already familiar with the basics, and it still had plenty to offer. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. I found myself making notes in the margins, which is always a good sign. One of those books that pays for itself within the first few chapters. Highly recommended.

Maria RogersPhD student · Bangalore, IN
Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL
Reader review5

Worth every page

This is the one to get if you are serious about algorithms.

I came to this book already familiar with the basics, and it still had plenty to offer. The author is unusually honest about where the simplifications break down, which I appreciated. The author is unusually honest about where the simplifications break down, which I appreciated. An easy five stars from me. I look forward to whatever the author writes next.

Ravi BrownHobbyist programmer · San Francisco, CA
Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL

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THE BOOKS

A few sparks to start with

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GPU Computing

WebGL Compute

Kenwright

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

Kenwright

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

Learn how to write OpenCL kernels for GPUs and CPUs.

Synopsis & details

A small spark. A bigger question.

Choose a question you would enjoy learning how to explain.

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