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WebGL Compute — cover

Book cover from the publisher catalogue.

GPU Computing

WebGL Compute

By Kenwright

WebGL Compute shows how to bend WebGL beyond its original purpose, using GLSL ES shaders to unlock the GPU for general‑purpose computation. It introduces creative techniques for performing non‑graphical tasks on the GPU directly from the browser.

Pages
393
Publication
2025
Language
English
ISBN
9798241286598
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The appeal of “WebGL Compute” starts with its focus on Parallel Programming. That is fertile territory for a reader ready to move beyond collecting ideas and start making connections. Browser graphics give creative experiments an accessible place to live and be shared. Pick one effect you want to show and trace the connection between your data, your code, and the final image. Bring your strongest question to the material. Examine a claim, consider an alternative, and ask what evidence would settle the difference. There is real satisfaction in turning a broad interest into a sharper judgement. A promising addition to a reading list with a purpose.

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Explore GPU Computing, Web Development, Parallel Programming with a reading approach that gives the ideas somewhere to go. Browser graphics give creative experiments an accessible place to live and be shared. Pick one effect you want to show and trace the connection between your data, your code, and the final image.

The listed 393 pages give a sense of extent; page count alone does not establish depth or difficulty.

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Choose one claim in the catalogue description. Identify what evidence would support it, what limits it might have, and what a sample could help you check.

Publisher’s synopsis

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.

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