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ssangx/raytracing.cuda: Ray Tracing implemented with …
https://github.com/ssangx/raytracing.cuda
This is the CUDA implementation of ray-tracing algorithm. The project was initially inspired by Ray Tracing In One Weekend/The Next Week How to run cd build cmake ../ make ./Raytracing Rendering results A low resolution result for mesh rendering: Todo List Finish the basic functionality Load arbitrary model and rendering Rendering triangles
GitHub - biancofla/cuda-raytracing: Accelerated Ray …
https://github.com/biancofla/cuda-raytracing
RAY TRACING WITH CUDA. In order to properly launch the project: change the version of CUDA used in the file cudaraytracer.vcxproj;; change 'Code Generation' in 'Properties' → 'CUDA C/C++' → 'Device' accordingly to the NVIDIA hardware that will run the code; add 'extended-lambda' in 'Properties' → 'CUDA/C++' → 'Command Line'. Examples
Accelerated Ray Tracing in One Weekend in CUDA
https://developer.nvidia.com/blog/accelerated-ray-tracing-cuda/
After trying your hand at using CUDA, you can also compare with my CUDA code at https://github.com/rogerallen/raytracinginoneweekendincuda . Be sure to use the branches I’ve created for each chapter. (E.g. git checkout ch12_where_next_cuda .) This post assumes you understand a few of the basics of CUDA.
cuda_raytracing download | SourceForge.net
https://sourceforge.net/projects/cudart/
Code This is a simple ray tracing algorithm implementation. The same algorithm is implemented on CPU and GPU with CUDA, and the performance of the GPU based ray tracing is much better than the naive CPU one. cuda and directx sdk are required. Features interactive ray tracing high efficient kd-tree traverse algorithm in GPU kernel Project Samples
raytracing with CUDA - Stack Overflow
https://stackoverflow.com/questions/39473/raytracing-with-cuda
This problem, with the current state of the art in ray-tracing code, reduces your GPU utilization by a factor of 16-32, which may make performance unacceptable for your application, especially if it's real-time (e.g. a game). It still might be …
Writing A Ray Tracer using CUDA - Brent’s Website
https://retroscience.net/ray-tracing-with-cuda.html
Porting CPU Raytrace To GPU CUDA performance Rule #1 - Memory Access Rule #2 - Beware of program branching Rule #3 - Be aware of your hardware “warps” Rule #4 - More blocks != more performance Please read this very useful documentation! Ray Tracer Basic Concepts TBD (I’ll be back to add this part in, I wanted to write out the important bits first)
Optimizing Raytracing Algorithm Using CUDA
https://gowtham-maran.github.io/Optimizing%20Raytracing%20Algorithm%20Using%20CUDA.pdf
Pseudocode of raytrace alghorithm by CPU Since quality and resolution of images of videos and games is HD and Full HD, in this test, we have used images Main: 1. Get Dimension of Image (W,H) 2. Create Image Pixel Buffer (IPB) 3. Create World Object Buffer(WOB) 4. Create List of thread Counts (LTC) 5. For each member of LTC by ltc 6.
An Implementation of Ray Tracing in CUDA
https://cseweb.ucsd.edu/~baden/classes/Exemplars/260_fa09/ChenDasPan_cse260_fa09.pdf
3.return the color of pixel as COLOR(currentPoint, ray), which is calculated recursively as follows: 4. COLOR(currentPoint, ray) 1. if currentPoint is blocked by objects from all light sources then 2. return the ambient color 3. else 4.Find the point hitPoint where ray …
cuda_raytracing - Browse Files at SourceForge.net
https://sourceforge.net/projects/cudart/files/
Code Download Latest Version Bin.rar (29.9 MB) Get Updates Home Other Useful Business Software Agile management software built for your team Simplify agile project processes and sprint plans with Asana Asana helps you plan, organize, and manage Agile projects and Scrum sprints in a tool that's as flexible and collaborative as your team.
CUDA Code Samples | NVIDIA Developer
https://developer.nvidia.com/cuda-code-samples
There are many CUDA code samples included as part of the CUDA Toolkit to help you get started on the path of writing software with CUDA C/C++ The code samples covers a wide range of applications and techniques, including: Simple techniques demonstrating Basic approaches to GPU Computing Best practices for the most important features
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