If softfloat is implemented, where can be a right place to put it? On Sun, Feb 8, 2015 at 6:17 PM, Ilia Mirkin <imir...@alum.mit.edu> wrote:
> On Sun, Feb 8, 2015 at 5:51 PM, Dave Airlie <airl...@gmail.com> wrote: > > On 9 February 2015 at 08:44, Aditya Avinash <adityaavina...@gmail.com> > wrote: > >> Ya. I just want to know that part "only some r600". > >> I believe some of the nv0 cards doesn't support double. You have any > ideas > >> or suggestions to make it possible? > > > > For AMD > > http://en.wikipedia.org/wiki/List_of_AMD_graphics_processing_units > > > > has what cards directly support double precision for r600/700/evergreen > > > > The plan is to implement a soffloat library like the fglrx drivers do > for the > > GPUs that don't do doubles just to satisfy the GL4.0 requirement. > > > > Whether we implement this in GLSL, NIR or in the backends is currently > > an open question. > > > > Not sure what the nvidia limitations are if any. > > All of the Fermi+ cards have pretty full hw support. The only lacking > area is that they only compute the upper 32 bits of a RSQ and RCP > operation, but that's solvable with a bit of Newton-Raphson magic. > > The G200 chip (NVA0) is the only Tesla-family chip which has some fp64 > support, but it's missing some useful operations, like any sort of > sqrt or division-related functionality. But it can add/multiply. Some > sort of partial softfloat may be useful there, but... it can be > difficult to care about the single high-end chip of the old family. > > -ilia > -- Regards, *Aditya Atluri,* *USA.*
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