Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Investigate Frobenius Additive FFT #5

Open
catid opened this issue Mar 16, 2018 · 3 comments
Open

Investigate Frobenius Additive FFT #5

catid opened this issue Mar 16, 2018 · 3 comments

Comments

@catid
Copy link
Owner

catid commented Mar 16, 2018

I believe this can be a drop-in replacement for the FFT that is currently being used:
https://arxiv.org/pdf/1802.03932.pdf

More background:
http://www.texmacs.org/joris/ffft/ffft.pdf

@catid
Copy link
Owner Author

catid commented Feb 20, 2020

~5x faster for 16-bit field, ~3x faster for 8-bit field hypothetically:

affft.test_fft(8)
FFT performance for k=8 : 2304 adds, 2304 muladds
IFFT performance for k=8 : 2304 adds, 2304 muladds
Test successful! Output = Input
affft.test_affft2(8)
FAFFT2 performance for k=8 : 656 adds, 656 muladds
IFAFFT2 performance for k=8 : 176 adds, 656 muladds
Test successful! Output = Input

affft.test_affft2(16)
FAFFT2 performance for k=16 : 198656 adds, 198656 muladds
IFAFFT2 performance for k=16 : 71680 adds, 198656 muladds
Test successful! Output = Input
affft.test_fft(16)
FFT performance for k=16 : 1114112 adds, 1114112 muladds
IFFT performance for k=16 : 1114112 adds, 1114112 muladds
Test successful! Output = Input

@TheBlueMatt
Copy link
Contributor

Is the code for this somewhere I can test? :p

@catid
Copy link
Owner Author

catid commented May 3, 2020

Maybe one day :)

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants