A cabinet of ideas at the edges of science, perception, and play.Thoughtful choices. Clear sources.
Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL — cover

Book cover from the publisher catalogue.

Computer Science

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
View on Amazon

Details are supplied by the publisher catalogue. Confirm the edition, price, and availability with the retailer before buying.

0 reader favourites

Real votes on Curiosity Killed the Cat. This is an interest count, not a review score.

Curiosity Killed the Cat / The reading view

A promising detour for a curious mind.

If Algorithms keeps catching your attention, “Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL” is a title to put on your radar. Its listed scope opens a worthwhile conversation about Data Structures. 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. Follow the most surprising question first. Sketch an explanation, imagine an alternative, and see what you would need to distinguish them. The best part of an interesting subject is often the next question it unlocks. Pick a question. Open a book. See where it takes you.

Find your reading angle →

Curiosity Killed the Cat reading lens

Follow the surprising question

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.

The listed 746 pages give a sense of extent; page count alone does not establish depth or difficulty.

A question before you choose

Does the description distinguish an explanation from an intriguing possibility?

Try this with the topic

Write an observation connected to one of the topics. List two possible explanations and the evidence that would help you tell them apart.

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.

Make room for the reading

A little planning helps.

Estimate sessions from the listed page count. Technical exercises and rereading can take extra time.

75 sessions at 10 pages per session.

Keep the thread going

Related directions.

Explore another angle on the subject.

WebGL Compute — cover

GPU Computing

WebGL Compute

WebGL Compute shows how to bend WebGL beyond its original purpose, using GLSL ES shaders to unlock the GPU for general‑purpose computation. It…

393 pages2025
OpenCL Compute — cover

Parallel Programming

OpenCL Compute

OpenCL Compute introduces developers to heterogeneous programming, showing how to write high‑performance compute kernels that run across GPUs,…

386 pages2024