Hi,
I just ran make_average_subjects with increased swap (from 2G to 8G) on
178 subjects and now it worked, which would seem to indicate that it
may have been a memory issue? I did not crash with 3, 10 and 113
subjects with 2G swap.
yours,
LMR
>Hmmm, I've run it on >100 subjects without trouble. I'll try now and see if
>I can replicate locally. Is there anything different about these volumes?
>Are they all 256^3 and unsigned char?
>
>cheers,
>Bruce
>>Could be a memory leak. Can you send us all the text output? We need
to know specifically what program it is dying on.
>>doug
>>>Hi,
>>>
I am analysing a dataset with 180 subjects. When I run
make_average_subjects it crashes, the error message usually >>>being
something like this:
>>>
>>>
mghRead: encountered error executing: 'zcat
/space/monkeys/1/home/lmr
>>>/subjects/VETSA_test/testAVG/tmp/make_average_vol-tmp/orig-19963b.mgz',frame
-1
>>>
>>>
I have tried running it with fewer subjects and it worked with 3, 10
and 73 subjects. Also, it crashes at different points in >>>the processing
stream, so once it crashed at subject # 130, which I removed from the
list of subjects, and then next time >>>it crashed at # 30. My frist guess
was that it is a memory problem. I tried running the top command in a
different >>>terminal at the same time as running make_average_subject
with 2 and 10 subjects, and it seemed to require up to >>>400m of virtual
memory and 10% of memory, but I couldn't see any difference in memory
demands between running 2 >>>and 10 subjects. This was running with 4G of
physical memory and 2G of swap.
>>>
>>>
Is this a known issue? (Couldn't find anything in the mailing list archive..)
>>>
>>>
Thank you!