Add GPU-accelerated raytracer (45x speedup)#6
Open
steveant wants to merge 2 commits intoarocks:masterfrom
Open
Add GPU-accelerated raytracer (45x speedup)#6steveant wants to merge 2 commits intoarocks:masterfrom
steveant wants to merge 2 commits intoarocks:masterfrom
Conversation
- Numba CUDA kernels for NVIDIA GPUs - 45x faster than CPU multiprocessing, 530x faster than single-core - Binary PPM output eliminates I/O bottleneck - Tested on GB10 Blackwell (Compute Capability 12.1) - Adds pyproject.toml for modern Python packaging - New manyballs.py scene for benchmarking
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Summary
Adds GPU acceleration using Numba CUDA, achieving 45x speedup over CPU multiprocessing (530x over single-core).
Performance
Tested on NVIDIA GB10 (Blackwell, Compute Capability 12.1):
Changes
gpu_engine.py- Numba CUDA kernels with structure-of-arrays memory layoutmain_gpu.py- GPU entry pointpyproject.toml- Modern Python packaging with dependenciesexamples/manyballs.py- Larger benchmark sceneREADME.md- GPU documentationKey optimizations
The clean architecture of the original made GPU porting straightforward.