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(PDF) Out-of-core GPU ray tracing of complex scenes
https://www.researchgate.net/publication/220721221_Out-of-core_GPU_ray_tracing_of_complex_scenes
For in-core scenes our method performs up to 5.94 times better than pure shader-based ray tracing and is comparable to CUDA ray tracing. Our method inherently supports ray …
Out-of-core GPU ray tracing of complex scenes | ACM ...
https://dl.acm.org/doi/10.1145/2037826.2037854
Scenes for feature film rendering and visualization have large geometric complexity and can easily contain millions of polygons and a large number of texture maps and other data attributes. In this talk, we describe a general purpose out-of-core ray tracing engine for the GPU where we address data management, ray-intersection and shading. We utilize a GPU data cache that …
Ray Tracing Complex Scenes on Graphics Hardware
https://www.csie.ntu.edu.tw/~r93039/thesis.pdf
The most time consuming part of the ray tracing algorithm is the computation of ray-scene in- tersection. In ray tracing, the computation of each ray is independent to other, so it is suitable for parallel computing. Recently graphics processing unit (GPU) is getting more computation power than CPU and continues growing.
High performance out-of-core geometry path tracing demo
https://centileo.com/news/147/centileo-out-of-core/
This demo presents out-of-core path tracing rendering of the Boeing CAD scene with a lot of polygons provided by David Kasik from Boeing Corp many years ago. In this demo we select to render a portion of layers cosisting of 250M unique triangles with high geometry complexity that is visible from every viewpoint. In total the geometry data prepared for …
GPU Ray Tracing - GPU Technology Conference 2012
https://developer.download.nvidia.com/GTC/PDF/GTC2012/PresentationPDF/S0603-Monday-GPU-Ray-Tracing.pdf
Not Always: Out-of-Core Support with OptiX 2.5 GPU Ray Tracing Myths 1. The only technique possible on the GPU is “path tracing” 2. You can only use (expensive) Professional GPUs 3. A GPU farm is more expensive than a CPU farm 4. A GPU isn’t that much faster than a good CPU 5. GPU Ray Tracing is very difficult 6. Scenes must fit into GPU memory – and that’s finite
GPU Accelerated Path Tracing of Massive Scenes – Chaf's Blog
https://chaphlagical.icu/en/posts/paperreading/gpu_accelerated_path_tracing_of_massive_scenes/
Out-of-core Rendering. Out of core rendering is the capability to render (with GPUs) scenes requiring more memory than the one directly connected to the device ... In the case of ray tracing complex scenes that do not fit into local memory, this approach results in on-demand scene data movement while rays remains fixed (Moving scene data ...
GPU Accelerated Path Tracing of Massive Scenes
https://dl.acm.org/doi/fullHtml/10.1145/3447807
It used an out-of-core GPU ray tracing algorithm for the computation of directional occlusion and spherical integrals. Wang et al. suggested a GPU rendering framework that can handle massive scenes with out-of-core geometry and complex lighting. The solution was designed to use only one GPU and applied a many-lights method instead of path tracing.
PantaRay: Fast Ray-traced Occlusion Caching of Massive ...
https://research.nvidia.com/publication/2010-07_pantaray-fast-ray-traced-occlusion-caching-massive-scenes
The system was used as a primary lighting. technology in the movie Avatar, and is able to efficiently handle. massive scenes of unprecedented complexity through the use of. a flexible, stream-based geometry processing architecture, a novel. out-of-core algorithm for creating efficient ray tracing acceleration.
TIMELINE SCHEDULING FOR OUT-OF-CORE RAY BATCHING
https://www.highperformancegraphics.org/wp-content/uploads/2017/Papers-Session5/HPG2017_TimelineScheduling.pdf
Our Scenario •Complex scenes •Out-of-core model: Too big data! •Cannot be stored in main / GPU memory •Complex device configurations •Distributed memory cluster system •Client-assisted remote rendering •Renderfarm of heterogeneous devices Boeing 777, 366 M tri. (20 GB) 2
CiteSeerX — CHC+RT
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.673.4465
Our algorithm based on hierarchical occlusion culling allows a simple scheduling scheme for managing out-of-core scenes and also significantly accelerates OpenGL-based ray tracing in complex scenes. We propose a new technique for in-core and out-of-core GPU ray tracing using a generalization of hierarchical occlusion culling in the style of the CHC++ method.
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