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.

Sign up for GitHub

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

Jump to bottom

Use fft-based smoothing filter for object smoothing in GPU-accelerated projection engines #546

Open
daurer opened this issue Mar 8, 2024 · 1 comment
Open

Use fft-based smoothing filter for object smoothing in GPU-accelerated projection engines #546

daurer opened this issue Mar 8, 2024 · 1 comment
Labels
0.9 High-performance for entire framework

Comments

@daurer
Copy link
Contributor

daurer commented Mar 8, 2024

can re-use FFTGaussianSmoothingKernel implemented for ML_pycuda and ML_cupy.
@daurer daurer added the 0.9 High-performance for entire framework label Mar 8, 2024
@daurer daurer mentioned this issue Mar 8, 2024
Merged
@jcesardasilva
Copy link
Contributor

Hi, I have finally checked it, and it seems to be working well now. The old problem seems to no longer exist. The new exposed parameter smooth_gradient_method is a very good asset. I will keep testing it in the long term, but all seems good to me. Thank you!

Nevertheless, I have only tested with ML_pycuda since I have not yet been successful in installing CuPy in order to try ML_cupy, but I assume it should work as well. I have the same installation problem in the 2 HPC clusters I have access to.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
0.9 High-performance for entire framework
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
2 participants
@daurer @jcesardasilva