Hi,
Let’s step back.  Why can’t you use the group dense connectome that we’ve 
already computed and provided?

As noted in our documentation
https://www.humanconnectome.org/documentation/S900/820_Group-average_rfMRI_Connectivity_December2015.pdf
computing the dense connectome optimally is not trivial (and involves quite a 
bit more than a -cifti-correlation operation).

cheers,
-MH

--
Michael Harms, Ph.D.
-----------------------------------------------------------
Conte Center for the Neuroscience of Mental Disorders
Washington University School of Medicine
Department of Psychiatry, Box 8134
660 South Euclid Ave. Tel: 314-747-6173
St. Louis, MO  63110 Email: [email protected]

From: 
<[email protected]<mailto:[email protected]>>
 on behalf of Xavier Guell Paradis <[email protected]<mailto:[email protected]>>
Date: Friday, February 24, 2017 at 8:30 AM
To: "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Subject: [HCP-Users] Memory required for -cifti-correlation of 700 subjects?

Dear HCP experts,
After demeaning and merging resting-state files of 700 subjects (resulting in a 
1200GB file), I would like to do -cifti-correlation to get a .dconn file. I am 
using a computational cluster, and even by using a node with 300GB of memory 
the command does not seem to work (I get the message: "Exceeded job memory 
limit, Job step aborted: waiting up to 32 seconds for job step to finish"). I 
have tried to use no -mem-limit as well as a -mem-limit as low as 5, and I 
still get the same message.

Do you know if it is possible to use -cifti-correlation for a huge file (700 
subjects merged); and if so what level of memory would be required to do this?

Thank you very much,
Xavier.

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