Cuda commands are called, but they won't be executed before the ray tracing is completed. The Cuda wait semaphore is done before calling the OptiX denoiser. The first command buffer gets the ray tracing and image copy commands and is submitted. This is a closeup on what is happening while denoising a frame. Because the frame #11 is really long to do, the in-flight frames will be displayed before it even finishes. After 10 frames, the denoiser will be apply on frame #11. Also, sometimes the denoiser is not that great with the first few frames, as the image is too noisy to reconstruct it correctly.
It is quicker to render and not denoising each frame. In the following image the rendering was set to start denoising the image after 10 iterations. The following image was done using Nsight System, which is at the time of writing those lines, the only tool which can inspect both Vulkan ray tracing and Cuda simultaneously. We add the inverse process at the end of the denoiser with a Cuda semaphore signaling the image is denoised and on Vulkan a wait semaphore to copy the buffer back to an image, tonemap it and display. Instead, we are adding a Vulkan timeline semaphore to signal when the ray traced image is rendered and transferred the buffer and a Cuda wait semaphore to hold the execution of the denoiser on the GPU. But this would be losing a lot of the GPU cycle. We could add a hard synchronization on the CPU, making sure the ray traced is finished, denoised the image, wait for it, then display. The denoiser is using Cuda and rendering is done with Vulkan, if we would simply add all Vulkan commands to a single command buffer, we would not be synchronized and the image to display will be sometime denoised, sometime not. For the allocation, we are using a derived class of the dedicated allocator, which is adding the flag decoration on the buffer allocation and memory allocation. Only the buffers, which are the linear-image copy of the default tiled image, are created with the external memory flag. The denoiser is actually requiring linear images, which are not available to Vulkan, so instead of directly sharing the images, we are creating buffers which are shared between Vulkan and Cuda and we are copying the image to the buffer, converting them to linear images. The OptiX denoiser is using Cuda, so our image will need to be shared between Vulkan and Cuda. For the denoiser, we will be using the Optix7 denoiser. Path-tracing is generally very noisy for the first frames and using a denoiser helps getting a converged image quicker. It has advanced algorithms, simple operations, and much better in results, so you will get the most out of your images easily.This example will ray trace a glTF scene (-f ) using a simplified path tracing technique and focus on the denoiser.
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