we're still trying to find the 'lowest common denominator' card to support, as clearly have more memory and double precision support allows more efficiency options in development. currently we target the Quadro FX4800, which is about the same as the GTX 285, as the LCD card, but we test and develop on a C1060 and C2050 as well. a tesla card is useful if you plan to process multiple subjects on one processor (assuming you have a multicpu with tons of memory) and you want to have a gpu per processor. otherwise, for our current gpu stream, a tesla is overkill.
n. On Mon, 2010-08-23 at 00:04 +0200, Georg Homola wrote: > Hi Nick (and others), > > do you already have positive experience with ATI cards, too? We think about > buying a new workstation with lots of GPU power so it would be great help to > know what really pays off: GeForce GTX 480 or ATI Radeon HD 5870? Or should > we go for Nvidia Tesla? What kind of tech specs are important here? Double > or single precision floating point performance, number of cores, amount of > memory... > > Thanks and cheers, > Georg > > > _______________________________________________ > 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.
