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Accelerated Ray Tracing in One Weekend in CUDA
https://developer.nvidia.com/blog/accelerated-ray-tracing-cuda/
GitHub - hhergeth/CudaTracerLib: A library for ray tracing …
https://github.com/hhergeth/CudaTracerLib
Install the CUDA 9.0 toolkit from the official Nvidia site. Clone the repository to your computer and use CMake to create build files for your system (only x64 and v140 toolset for Visual Studio [see below]), all dependencies are handled automatically. The microfacet and spectral probability distribution files from Mitsuba/PBRT are also necessary.
raytracing with CUDA - Stack Overflow
https://stackoverflow.com/questions/39473/raytracing-with-cuda
That said, ray-tracing, while data-parallel in some sense, has widely-diverging control flow for even modestly-complex scenes. Even if you manage to map a bunch of tightly-spaced rays that you cast out right next to each other onto the same SM, the data and instruction locality you have for the initial bounce won't hold for very long.
CUDA Real Time Ray Tracing Tutorial | Geeks3D
https://www.geeks3d.com/20090814/cuda-real-time-ray-tracing-tutorial/
This tutorial is focused on sending a ray into a loaded triangulated model, computing the first hit position and do simple light calculations. It shows how to send the mesh data to CUDA via CUDA 1D texture or how to communicate between OpenGL and CUDA via PBO (Pixel Buffer Object). You can download source codes and executables here:
Interactive Ray Tracing with CUDA - Nvidia
https://www.nvidia.com/content/nvision2008/tech_presentations/Game_Developer_Track/NVISION08-Interactive_Ray_Tracing.pdf
Ray tracing is sublinear, rasterization linear in primitives Rasterization uses culling techniques Ray tracing is linear, rasterization sublinear in pixels Ray tracing uses packets & frustum tracing Ray Tracing vs. Rasterization Rasterization is fast …
GitHub - ryanneph/Raytrace: General purpose python ray …
https://github.com/ryanneph/Raytrace
Installation The simplest way to install this libary is to run pip install git+https://github.com/ryanneph/raytrace.git@master#egg=raytrace Alternatively if you wish to install from source you can first clone/cd this repo, then run pip install . Developing To get started with developing this library, first clone/cd this repo then run make build
Raytracing In One Weekend Series in C++, CUDA, and OptiX
https://github.crookster.org/raytracing-iow-in-cpp-cuda-and-optix/
CUDA is a C++ environment where code can be written to target running on an Nvidia GPU alongside, or instead of, just a CPU. To develop with it, a toolkit from Nvidia is needed. To run CUDA device code, a supported Nvidia graphics card is needed.
Optimizing Raytracing Algorithm Using CUDA
https://www.researchgate.net/publication/321056692_Optimizing_Raytracing_Algorithm_Using_CUDA
In this paper, we implement raytracing algorithm by functio n of Cuda librar y on graphic c ard to compare CPU and GPU maximum ability. In last, results show that …
Optimizing Raytracing Algorithm Using CUDA
https://gowtham-maran.github.io/Optimizing%20Raytracing%20Algorithm%20Using%20CUDA.pdf
Raytrace (int x, int y) function has designed to run on CPU and GPU. Its design is based on Cuda’s library functions. In order that results have more validity, source codes, which run program on CPU and GPU, are exactly same. After preparing codes, executable program has multi parallel procession with various threads.
Interactive Ray Tracing with CUDA and OpenGL | Geeks3D
https://www.geeks3d.com/20081023/interactive-ray-tracing-with-cuda-and-opengl/
Interactive Ray Tracing with CUDA and OpenGL 2008/10/23 JeGX NVIDIA has published a paper about hybrid ray tracing technique. OpenGL is used to manage textures and post processing while CUDA is used to the ray tracing. The authors explain the advantages and drawbacks of rasterisation and ray tracing and how both technologies can work together.
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