Freesurfers,
I'd like to add my two about a recent experiment I ran with recon-all -use-gpu.
(I'm using v5.1)
I took 6 T1 scans, imported them into two subjects a piece (gpu_SUBJID,
cpu_SUBJID) and ran 'recon-all -all -use-gpu' on the gpu_ subject and the
normal 'recon-all -all' on the cpu subjects. All gpu subjects ran on a single
GTX 480.
On average, I saw about a 16% speedup using GPU hardware, which translates to
about 4 hours on the hardware I'm using.
Qualitatively, the final inflated surfaces and {w,g}m boundaries are very
similar.
Two questions:
1) Would you recommend -use-gpu for "production" analyses using FS v5.1?
2) Separately from the above experiment, I ran one gpu subject using 4 GTX 480s
and saw no significant time difference. Is this to be expected, ie your CUDA
code doesn't scale across multiple GPUs? Just curious, certainly not a
deal-breaker if it doesn't.
Thanks for your input.
Scott Burns
Neuroimaging Analyst
Education and Brain Science Lab
Kennedy Center
Vanderbilt University
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