FROM THE BOOK CATALOGUEComputer Science
Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL
Discover how parallelism and GPU computing reshape traditional data structures and algorithms.
WHAT THE PUBLISHER HIGHLIGHTS
- Learn how to adapt algorithms for parallel execution.
- Understand GPU computing with WebGPU and WGSL.
- Explore modern rendering techniques and data structures.
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INSIDE THE BOOK
About this book
As computing shifts toward parallel architectures and GPU acceleration, traditional approaches to data structures and algorithms must evolve. This book dives into the challenges and opportunities of modern computing, introducing readers to WebGPU and WGSL as tools for high-performance rendering and computation. Learn how to adapt classic structures like trees, graphs, and queues for parallel execution, and explore how algorithms behave in massively concurrent environments. Ideal for developers, researchers, and students aiming to stay ahead in the computing landscape.
From the publisher’s description
- Learn how to adapt algorithms for parallel execution.
- Understand GPU computing with WebGPU and WGSL.
- Explore modern rendering techniques and data structures.
- Bridge the gap between traditional CS theory and modern hardware.
