Question 1

How to set up Auto-Vk with CMake?

Accepted Answer

Add the include directory and src/avk.cpp to your project, ensure Vulkan-Hpp and a Vulkan SDK are available, and define any necessary preprocessor flags like AVK_USE_VMA before including avk.hpp. The README mentions CMake options for VMA integration.

Question 2

Auto-Vk vs Vulkan-Hpp: which is better for learning Vulkan?

Accepted Answer

Vulkan-Hpp provides a direct C++ binding to Vulkan with minimal abstraction, ideal for understanding raw API details. Auto-Vk adds higher-level conveniences that reduce boilerplate but may obscure some low-level concepts, so it's better for productivity after grasping basics.

Question 3

How to create a buffer with Auto-Vk?

Accepted Answer

Use the root::create_buffer method with parameters for memory usage and meta types, such as avk::vertex_buffer_meta::create_from_data, which automatically infers size and usage flags from data, as demonstrated in the README's buffer creation example.

Question 4

Does Auto-Vk support Vulkan 1.3 features?

Accepted Answer

Yes, Auto-Vk requires Vulkan 1.3 or 1.4 SDK and uses synchronization2 functions by default, but it can be configured to use core Vulkan 1.3 APIs via the AVK_USE_CORE_INSTEAD_OF_SYNCHRONIZATION2 preprocessor setting for compatibility.

Question 5

What are the performance costs of using Auto-Vk?

Accepted Answer

Auto-Vk aims for zero overhead on critical paths by preserving Vulkan's fine-grained control, but its abstractions may introduce minimal runtime overhead in exchange for reduced development time, especially in resource management and automatic barrier inference.

Question 6

How to handle multi-queue synchronization in Auto-Vk?

Accepted Answer

Use avk::sync::image_memory_barrier with queue_family_ownership_transfer, as shown in the README, where barriers can specify queue indices and stage transitions, leveraging Auto-Vk's expressive APIs for complex synchronization scenarios.

Auto-Vk

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