Understanding Cuda Raytracer In Progress
Let's dive into the details surrounding Cuda Raytracer In Progress. Now able to load and render 3d meshes.
Key Takeaways about Cuda Raytracer In Progress
- Increased performance from ~25ms to ~8ms by using kdtree for mesh intersections.
- Fixed the depth issue from my previous video. As I guessed it was an error in the traversal of the kd tree. I am back to rendering ...
- C++ single threaded application, but with
- So I just completed the next task on the list, which was mesh instancing. So now I can place multiple instances of the same mesh ...
- Just thought this looked cool.Obviously the sampling should reset when the camera or scene changes. But this is what happens if ...
Detailed Analysis of Cuda Raytracer In Progress
CUDA The good part: I implemented basic materials with diffuse textures. The bad part: It revealed an error in my kd tree implementation. I was experimenting with how to generate random values in my kernel, and more specifically how to generate different random ...
This is my
That wraps up our extensive overview of Cuda Raytracer In Progress.
