The environment variable 'FREESURFER_CUDA_DEVICE' defines the device number of the GPU device. Although I dont think you will see much benefit in splitting the surface processing across two gpus, as the CUDA surface code is not as optimal as the volume-based mri_ca_register code for parallel processing.
Nick On Mon, 2013-02-04 at 19:31 -0500, R Edgar wrote: > On Mon, Feb 4, 2013 at 6:54 PM, Zhongtian Dai <d...@uchicago.edu> wrote: > > > Thanks for the speedy response. I think we will go with GTX 660 Ti with 2GB > > GPU RAM. We don't have a lot of subjects (as we hope to have) to analyze, so > > maybe we will try splitting left and right hemispheres to two graphic cards > > if our CPU RAM doesn't deplete. How do you designate the cuda commands to a > > certain GPU? > > You'll have to ask Nick that - I don't remember, I'm afraid. > > Richard > _______________________________________________ > Freesurfer mailing list > Freesurfer@nmr.mgh.harvard.edu > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > > _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.
