Artículo: AMZ-B0FY553SLL

Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL

Format:

Paperback

Detalles del producto
Disponibilidad
En stock
Peso con empaque
1.16 kg
Devolución
No
Condición
Nuevo
Producto de
Amazon
Viaja desde
USA

Sobre este producto
  • Modern computing demands a new kind of developer — one who understands not just how to write code, but how to architect it for parallel execution, GPU acceleration, and real-time performance. This book is your guide to that transformation.Designed for programmers, graphics developers, and systems thinkers, this hands-on resource teaches core data structures and algorithms by implementing them directly on the GPU using WebGPU and WGSL. You’ll learn how to think in parallel, structure memory for speed, and design algorithms that scale across thousands of threads — all within the browser.Rather than treating WebGPU and WGSL as niche tools, this book uses them as the primary language for exploring modern compute and graphics. From spatial partitioning and sorting networks to rendering pipelines and compute shaders, you’ll build a deep understanding of how classic algorithmic ideas evolve when performance and parallelism are the priority.Whether you're building simulations, visualizations, or high-performance web apps, this book will help you master the principles that power today’s most demanding applications — and give you the skills to push the boundaries of what’s possible in the browser.Learn to think like a GPU — and code like the future.
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