QuickStart Guide to Vulkan Compute
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QuickStart Guide to Vulkan Compute: Accelerate Innovation with GPU Compute

QuickStart Guide to Vulkan Compute: Accelerate Innovation with GPU Compute


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About the Book

Harness the Power of Vulkan Compute - Without the Overwhelm If you've ever opened the Vulkan specification and felt like you were staring into the cockpit of a jumbo jet, you're not alone. Vulkan is famously intricate. Its raw power is thrilling-but for newcomers, it can feel like trying to fly without a manual. This book is your fast-track guide to Vulkan compute. While most Vulkan resources plunge into graphics pipelines, this one stays laser-focused on compute-using the GPU as a parallel processing engine for data crunching, simulations, image manipulation, AI experiments, and more. With a friendly, conversational tone and step-by-step walkthroughs, you'll build practical, minimal C programs that reveal how Vulkan's pieces fit together. Inside, you'll learn: How to set up your Vulkan development environment on Windows, Linux, or macOS (via MoltenVK) The essential Vulkan building blocks: instances, devices, queues, and memory How to write and run compute shaders that execute directly on the GPU Debugging workflows with tools like RenderDoc and NSight Performance tuning strategies to squeeze the most out of your hardware Mini-projects-from image filters to parallel reductions and particle simulations Each chapter blends working code, clear diagrams, and plain-English explanations, helping you not just copy-paste examples, but truly understand what's happening under the hood. You'll also uncover common pitfalls, synchronization gotchas, and the mindset needed to think like a GPU programmer. By the end, you'll be ready to build your own GPU-powered applications-and excited to explore Vulkan's deeper capabilities. Whether you're a graphics developer branching into compute or a curious coder eager to harness GPU speed, this book is your on-ramp to Vulkan compute.


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Product Details
  • ISBN-13: 9798265109750
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 254 mm
  • No of Pages: 256
  • Returnable: N
  • Sub Title: Accelerate Innovation with GPU Compute
  • Width: 178 mm
  • ISBN-10: 826510975X
  • Publisher Date: 12 Sep 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 14 mm
  • Weight: 503 gr


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