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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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There is a strong reading opportunity in the space between Parallel Programming and Graphics Programming. “WebGL Compute” brings those listed subjects onto the same shelf and gives your next question a place to start. 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. Give the reading an outcome you can revisit. Save a first attempt, return to it with a new insight, and notice which decisions you can now explain. A good reading direction becomes more valuable when it connects to practice. 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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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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