Hi Paul,

Thanks for your speedy response! In that case, I assume 1GB/core is the memory 
allocation? Is it helpful to increase that?

Best,
Mitch
________________________________
From: freesurfer-boun...@nmr.mgh.harvard.edu 
<freesurfer-boun...@nmr.mgh.harvard.edu> on behalf of Paul Wighton 
<p...@corticometrics.com>
Sent: Tuesday, May 3, 2022 1:34 PM
To: Freesurfer support list <freesurfer@nmr.mgh.harvard.edu>
Subject: Re: [Freesurfer] Scalable recon workflow


        External Email - Use Caution

Hi Mitch,

In our experience, -openmp 8 gives faster recons than -openmp 4, but the gains 
after -openmp 8 diminish quickly and aren't worth it.

-Paul

On Tue, May 3, 2022 at 12:51 PM Horn, Mitchell Jacob 
<mjh...@mgh.harvard.edu<mailto:mjh...@mgh.harvard.edu>> wrote:
Hi Experts,

If I have 100s of subjects to recon and have access to an HPC with both GPU and 
CPU options what is the recommended flags to maximize speed performance? Is … 
-parallel -openmp 4 … still the best approach? And if so, is 2GB memory/core 
best (keeping it 8GB memory/subject) or is there some better arrangement?

Best,
Mitch




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