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Cover of WebGL Compute (Paperback) FROM THE BOOK CATALOGUE

GPU Computing

WebGL Compute (Paperback)

By Kenwright

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

WHAT THE PUBLISHER HIGHLIGHTS

  • Learn how to use WebGL for non‑graphical GPU computation.
  • Understand how GLSL ES shaders can accelerate parallel workloads.
  • Explore practical examples of browser‑based GPGPU techniques.

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Catalogue reference: 8fc927ef60c9f5a8

INSIDE THE BOOK

About this book

WebGL Compute explores how to repurpose WebGL’s graphics‑focused pipeline for high‑performance computation. By leveraging GLSL ES shaders, readers learn how to run massively parallel workloads directly on the GPU using nothing more than a web browser. The book walks through practical techniques, minimal examples, and creative strategies for performing non‑graphical tasks such as simulation, data processing, and algorithm acceleration. Ideal for developers, researchers, and enthusiasts who want to push WebGL beyond rendering and tap into the hidden compute power available on virtually every device.

From the publisher’s description

  • Learn how to use WebGL for non‑graphical GPU computation.
  • Understand how GLSL ES shaders can accelerate parallel workloads.
  • Explore practical examples of browser‑based GPGPU techniques.
  • Discover creative ways to repurpose WebGL beyond rendering.

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ANOTHER PERSPECTIVE

Readers, in their own words

Explore reviews
Reader review5

Outstanding introduction

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

I came to this book already familiar with the basics, and it still had plenty to offer. The chapters on gpu computing are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. The progression from chapter to chapter is well thought out; nothing feels out of order. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. Worth the money and the reading time, without hesitation.

Ryan NelsonPhD student · Buenos Aires, AR
WebGL Compute
Reader review2

Not for me

A few useful pages, but mostly material I had seen better elsewhere.

A colleague recommended this and I can see why. It does something that few technical books manage: it respects the reader's time. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. I would look elsewhere unless you have a specific reason to need this particular title.

Charlotte JohnsonFrontend developer · Sydney, AU
WebGL Compute
Reader review4

Almost excellent

Almost excellent. A second edition could easily push it to five stars.

I have been working with gpu computing for a few years now and I still found plenty here that was new to me. The balance between theory and practice is well judged; neither side dominates. There is a section near the end that ties several earlier ideas together in a way I had not seen before. Worth picking up if you already have the basics. Set realistic expectations and you will get a lot out of it.

Anya DavisData scientist · London, UK
WebGL Compute

BEYOND THE BOOKSHELF

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Cover of OpenCL Compute (Paperback)
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.

A small spark. A bigger question.

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