cuda-interop

What problem does it solve?

Enable GPU-side interop by mapping ovrtx render output to CUDA memory or CUDA arrays for zero-copy or efficient access, and ensure correct synchronization with CUDA consumers.

Core Features & Use Cases

• CUDA interop patterns for rendering pipelines involving CUDA arrays, timeline semaphores, and Vulkan shared memory.
• Guidance on mapping render outputs to CUDA memory or CUDA arrays, managing synchronization, and coordinating with Vulkan occupancy/shared memory patterns.
• Use Case: Integrate ovrtx-rendered output into a CUDA-based post-processing or visualization pipeline.

Quick Start

Configure your pipeline to map ovrtx render output to CUDA memory and coordinate synchronization with your CUDA consumer.