AFNI Message Board

Dear AFNI users-

We are very pleased to announce that the new AFNI Message Board framework is up! Please join us at:

https://discuss.afni.nimh.nih.gov

Existing user accounts have been migrated, so returning users can login by requesting a password reset. New users can create accounts, as well, through a standard account creation process. Please note that these setup emails might initially go to spam folders (esp. for NIH users!), so please check those locations in the beginning.

The current Message Board discussion threads have been migrated to the new framework. The current Message Board will remain visible, but read-only, for a little while.

Sincerely, AFNI HQ

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Daniel Glen
May 05, 2016 03:10PM
There are several related discussions of this on the messageboard that might be useful.

https://afni.nimh.nih.gov/afni/community/board/read.php?1,73472,73475

Consider those suggestions in that thread. Splitting into chunks rather than slices can help with the 3dDeconvolve step, but that would be done most easily with the 3dZcutup step too. Chunks would have less overhead, but you would have to decide how to best split the dataset to fit in memory. If you are running this on a cluster, you would have to consider how many nodes you might have available too. Many other steps require whole volumes like motion correction and alignment. In that case, consider options like downsampling your data.
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Very large data sets

Leo May 05, 2016 10:27AM

Re: Very large data sets

Daniel Glen May 05, 2016 03:10PM