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SKU/Artículo: AMZ-B0GCM3BZLL

WebGL Compute

Format:

Paperback

Detalles del producto

Disponibilidad:
En stock

Peso con empaque:
0.91 kg

Devolución:
Sí

Condición
Nuevo

Producto de:
Amazon

Viaja desde
USA

Sobre este producto

Picture taking a technology originally built for drawing pixels on a screen and pushing it far beyond its intended purpose. WebGL - long known as the engine behind interactive 3D graphics in the browser - can be reshaped, stretched, and repurposed into a surprisingly capable compute platform. With the right techniques, you can coerce the GPU into performing large-scale numerical work, data transformations, simulations, and parallel algorithms, all without leaving the web environment. This book, WebGL Compute, is your guide to bending a graphics API into a high-performance computation engine. You'll begin by exploring the foundations of GPU-driven computation in WebGL: how shaders operate, how data flows through buffers and textures, and how to structure programs that treat the GPU as a general-purpose processor rather than a renderer. From there, the journey expands into more advanced territory - parallel data processing, physics simulations, cellular automata, image-based computation, and creative uses of fragment shaders for tasks that have nothing to do with drawing triangles. Throughout the book, you'll work through practical examples that reveal how to design, implement, and optimize compute workloads using WebGL's unique constraints. You'll learn how to encode data into textures, orchestrate multipass rendering pipelines, and squeeze performance out of hardware that was never explicitly designed for general-purpose compute. Along the way, you'll gain a deeper understanding of how GPUs think, and how to align your algorithms with their massively parallel nature. A core aim of WebGL Compute is to make the unconventional feel accessible. By demystifying the techniques behind GPU-based computation in the browser, this guide empowers you to build fast, scalable, and interactive compute systems that run anywhere the web does. Whether you're analyzing large datasets, experimenting with generative simulations, or crafting new visual tools, you'll discover how far WebGL can be pushed when treated as a compute engine rather than a graphics library. As you progress, you'll also explore how WebGL-based compute can coexist with other APIs and frameworks, enabling hybrid applications that blend rendering, simulation, and data processing. This opens the door to browser-based physics engines, real-time machine learning inference, advanced visualization systems, and creative computational art - all powered by the GPU. Finally, the book equips you with practical strategies for debugging, profiling, and optimizing your compute pipelines. You'll learn how to navigate driver quirks, manage precision issues, and scale your workloads across different devices and browsers. By the end, WebGL will no longer feel like a graphics API you're repurposing - it will feel like a flexible, powerful compute platform you've mastered.

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U$S 97,48

49% OFF

U$S 49,99

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