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Just finished "Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL" - my thoughts
Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL is perfect for beginners looking to get into Algorithms. The step-by-step tutorials make complex concepts easy to understand.
Best practices for GPU Programming?
I'm working on a project that involves Graphics Rendering and looking for advice on best practices. Has anyone read "Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL" and can recommend specific chapters?
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Best practices for Algorithms?
I'm working on a project that involves WebGPU and looking for advice on best practices. Has anyone read "Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL" and can recommend specific chapters?
Best practices for Algorithms?
I'm working on a project that involves GPU Programming and looking for advice on best practices. Has anyone read "Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL" and can recommend specific chapters?
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I've been using the techniques from Data Structures and Algorithms: Parallel Structures, GPU Computing, and Visual Rendering with WebGPU and WGSL in my current project with great success.
Has anyone tried the exercises in chapter 7? They're challenging but rewarding!