I set up a 3dMVM to run, with 85 subjects and 2 between-subjects factors.
I ran it on a cluster, with 10 jobs, and it got slower and slower, until it finally got stuck at z-slice 69.
The first few slices took seconds to process, and then, by Slice 25, it was 4 minutes, by Slice 50, it was 8 minutes, and after Slice 69, 5.5 hrs after it started, it froze.
Does anyone know what I am up against? Am I running into memory limitations? Storage space limitations? Does 3dMVM have troubles with large numbers of subjects?
Hi- I increased the number of jobs to 16, and it only got as far as Slice 35. Is there a way that I can manually allocate more memory, or use less memory for my MVM? Again, I am including 85 subjects in my analysis, with two between-subjects factors (one with 3 levels, one with 2). Functional images are 101 128 x 128 slices, but the mask has about half that many voxels in it.
What kind of data do you have: FMRI or something else? What is the voxel size?
The
National Institute of Mental Health (NIMH) is part of the National Institutes of
Health (NIH), a component of the U.S. Department of Health and Human
Services.