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Mastering Graphics Programming with Vulkan

You're reading from   Mastering Graphics Programming with Vulkan Develop a modern rendering engine from first principles to state-of-the-art techniques

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Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781803244792
Length 382 pages
Edition 1st Edition
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Authors (2):
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Gabriel Sassone Gabriel Sassone
Author Profile Icon Gabriel Sassone
Gabriel Sassone
Marco Castorina Marco Castorina
Author Profile Icon Marco Castorina
Marco Castorina
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1: Foundations of a Modern Rendering Engine
2. Chapter 1: Introducing the Raptor Engine and Hydra FREE CHAPTER 3. Chapter 2: Improving Resources Management 4. Chapter 3: Unlocking Multi-Threading 5. Chapter 4: Implementing a Frame Graph 6. Chapter 5: Unlocking Async Compute 7. Part 2: GPU-Driven Rendering
8. Chapter 6: GPU-Driven Rendering 9. Chapter 7: Rendering Many Lights with Clustered Deferred Rendering 10. Chapter 8: Adding Shadows Using Mesh Shaders 11. Chapter 9: Implementing Variable Rate Shading 12. Chapter 10: Adding Volumetric Fog 13. Part 3: Advanced Rendering Techniques
14. Chapter 11: Temporal Anti-Aliasing 15. Chapter 12: Getting Started with Ray Tracing 16. Chapter 13: Revisiting Shadows with Ray Tracing 17. Chapter 14: Adding Dynamic Diffuse Global Illumination with Ray Tracing 18. Chapter 15: Adding Reflections with Ray Tracing 19. Index 20. Other Books You May Enjoy

Summary

In this chapter, we have built the foundations to support compute shaders in our renderer. We started by introducing timeline semaphores and how they can be used to replace multiple semaphores and fences. We have shown how to wait for a timeline semaphore on the CPU and how a timeline semaphore can be used as part of a queue submission, either for it to be signaled or to be waited on.

Next, we demonstrated how to use the newly introduced timeline semaphore to synchronize execution across the graphics and compute queue.

In the last section, we showed an example of how to approach porting code written for the CPU to the GPU. We first explained some of the benefits of running computations on the GPU. Next, we gave an overview of the execution model for compute shaders and the configuration of local and global workgroup sizes. Finally, we gave a concrete example of a compute shader for cloth simulation and highlighted the main differences with the same code written for the...

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