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

Parrallelization of the FIDVC #2

Closed
ragyei opened this issue Nov 18, 2015 · 1 comment
Closed

Parrallelization of the FIDVC #2

ragyei opened this issue Nov 18, 2015 · 1 comment
Labels

Comments

@ragyei
Copy link

ragyei commented Nov 18, 2015

Hello,
I wanted to find out if the FIDVC code is parallelizable.
I want to perform a correlation with the distance spacing of 1. This procedure
takes about 21 hours for a 512 by 512 by 192 image volume.
Is there any means where i code tweak the code t perform the correlation on
multiple processors?
Thank you.
Ronald.

@ragyei ragyei closed this as completed Nov 18, 2015
@ragyei ragyei reopened this Nov 18, 2015
@mohakpatel
Copy link
Collaborator

Hi Ronald,

The FIDVC code could possibly be parallelized, but we haven't done it. The main loop that could be looked at is the for loop in DVC.m at line 41. You will need to make changes in the code to make it run on parallel. Feel free to explore that route.

However, I want to know why you require the subset spacing of 1?
What we do is run FIDVC with subset spacing of 8 (the default option), and distances in between can be effectively interpolated. I would recommend you to use this approach.

Best,
Mohak

Graduate Student
Franck Lab

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

No branches or pull requests

2 participants