Sorry, I thought I sent an email responding to this. Try running it with
-run-wise. This will analyze each run separately. I can't remember
whether it generates a final combined average (been a long time since I
used this option), but run it and see what it does.
On 6/23/2022 2:00 PM, Caspar M. Schwiedrzik wrote:
External Email - Use Caution
Hi!
Any advice on this issue?
The error message is:
Starting contrasts
UrInv J=1 -------------
Out of memory. Type "help memory" for your options.
Error in fast_glm_pcc (line 39)
yhatd = Rd*(X*beta);
Error in fast_fratiow (line 136)
if(nargout == 6) pccbin =
fast_glm_pcc(beta(:,indbin),Xbin,C,rvarbin);
end
Error in fast_selxavg3b (line 1148)
fast_fratiow(betamat,X,rvarmat,C,acfsegmn,acfseg.vol(:));
>> ------------------------------------------
ERROR: fast_selxavg3() failed\n
Thank you,
Caspar
Am Mo., 20. Juni 2022 um 10:17 Uhr schrieb Caspar M. Schwiedrzik
<cschwie...@rockefeller.edu>:
Hi!
I am running large single subject GLMs with selxavg3-sess and I
run into a Matlab "out of memory" error. I was wondering whether
you had any advice on how to get around that.
I have 40-50 runs per subject, and the analyses are whole brain.
The GLM per subject runs through fine, but the error occurs once
selxavg3-sess starts computing contrasts.
The problem occurs with v5.3 and v7.2.
This is a Centos 7 system with 320 GB of memory, and 7 GB of swap
memory.
Any advice would be appreciated!
Caspar
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