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PyCUDA implementation of a GPU-accelerated fractal flame renderer.
165 Commits 4 Branches 0 Tags 2.3 MiB
Python 92.8%
Cuda 6%
Shell 0.6%
C 0.6%
9b03f557c2
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Steven Robertson 9b03f557c2 Fix missing control points in async version. 
The allocation pool was reallocating the same frame as soon as it had
left the current scope, before it had been copied. We just reallocate
the same chunks. I don't think this has any real performance impact but
this can be verified.
2011-10-11 20:54:33 -04:00
cuburn Fix missing control points in async version. 2011-10-11 20:54:33 -04:00
helpers Use much more accurate filtsum estimation polynomials 2011-06-12 17:37:57 -04:00
bench.py Simultaneous occupancy microbenchmark 2010-09-12 16:23:24 -04:00
main.py Add quick debug option 2011-10-03 17:10:38 -04:00
README.md Add README 2011-10-03 17:37:32 -04:00
sortbench.cu Done. The Boost version is much faster, alas. 2011-08-31 13:24:44 -04:00
sortbench.py Done. The Boost version is much faster, alas. 2011-08-31 13:24:44 -04:00

README.md

Cuburn

This project is a fractal flame renderer. It is still under development, but already implements most of the genome parameters that flam3 supports, and beats CPU by a healthy margin (20-40x in most cases).

This project is licensed under the GPL version 3.