C: Vulkan Interop

Demonstrates how to integrate ovrtx with Vulkan by sharing renders on the GPU.

The example maps ovrtx outputs to CUDA arrays every frame, then copies them to CUDA-exported VkImage memory. A fullscreen quad samples the resulting textures to display the render in real time in a GLFW window. Memory access between CUDA and Vulkan is synchronized using timeline semaphores.

Build and Run

Linux

Prerequisites

• sudo apt install build-essential cmake

• Vulkan SDK 1.3.250+

• CUDA Toolkit 12.0+

If ovrtx or glfw3 are already installed and available via CMAKE_PREFIX_PATH, the local installations are used. Otherwise they are downloaded automatically at configure time. Other dependencies (GLM, volk, unordered_dense) are always downloaded via FetchContent.

Building

cmake -B build -DCMAKE_BUILD_TYPE=Release
cmake --build build

Running

./build/ovrtx-interop

Windows

Prerequisites

• Visual Studio 2017+

• Vulkan SDK 1.3.250+

• CUDA Toolkit 12.0+

If ovrtx or glfw3 are already installed and available via CMAKE_PREFIX_PATH, the local installations are used. Otherwise they are downloaded automatically at configure time. Other dependencies (GLM, volk, unordered_dense) are always downloaded via FetchContent.

Building

cmake -B build
cmake --build build --config Release

Running

.\build\Release\ovrtx-interop.exe

Scene Configuration

The example is configured to load the robot scene from Omniverse:

Setting	Value
USD Scene	https://omniverse-content-production.s3.us-west-2.amazonaws.com/Samples/Robot-OVRTX/robot-ovrtx.usda
Render Product	/Render/Camera
Up Axis	Z
Units	Meters

Controls

• Left-click and drag — Rotate camera around the target point

• Mouse wheel — Dolly camera in/out

Licensing

This example contains stb_image_write.h, © Sean Barrett, released under Public Domain.