[cfarm-users] Upcoming board: Nvidia Jetson AGX Xavier
chuck.atkins at kitware.com
Fri Mar 12 17:05:30 CET 2021
Given what the platform and it's intended use is I think having the
proprietary nvidia drivers on there is the most appropriate. Using the
nouveau driver on it might be "neat" but likely of limited practical use.
On Sat, Mar 6, 2021 at 7:28 AM Baptiste Jonglez via cfarm-users <
cfarm-users at lists.tetaneutral.net> wrote:
> On 05-03-21, Andy Polyakov via cfarm-users wrote:
> > > We have an opportunity to host a developer kit of the Nvidia Jetson AGX
> > > Xavier board in the farm.
> > >
> > > See:
> > >
> > >
> > > https://en.wikipedia.org/wiki/Tegra#Xavier
> > > https://en.wikipedia.org/wiki/Nvidia_Jetson
> > >
> > > It has a recent 8-cores ARM CPU,
> > "Non-Cortex" might be a more accurate description. I mean most ARM
> > processors you encounter are Cortex cores, and there are many variants,
> > some are naturally more recent than others. This Tegra processor on the
> > other hand is not based on Cortex and in a sense is first of a kind. By
> > "first" I mean that even though it's described as part of the Denver
> > family, one has to recognize that previous family members used binary
> > translation to proprietary instruction set. This one doesn't, it's
> > actual ARM ISA implementation.
> Interesting, I hadn't realized it was such a specific design. It makes it
> even more interesting for the farm.
> > > 32 GB RAM, and a big GPU.
> > Don't get me wrong, 512 CUDA cores *is* impressive in the context of a
> > single-board computer, but one can't really refer to it as "big."
> > Thousands of cores is big, 512 is really entry level:-) In essence one
> > can divide the amount of CUDA cores by 32 in order to get a more
> > down-to-earth number. By 32, because that's how many lanes are processed
> > with single instruction. In other words one can also view it as a
> > processor with 32*32=1024-bit registers.
> Yes, you're right, but it's still rather impressive given the form factor
> and price.
> > Most common way to use Nvidia GPUs for general-purpose computing is
> > CUDA, with OpenCL being another option. Does nouveau support any of
> > that? Not that I know of. My understanding is that nouveau is about
> > rendering and acceleration, not about general-purpose computing. Of
> > course you can say that cfarm wants to foster nouveau development toward
> > OpenCL, but then it would probably be unsuitable as a shared farm
> > computer. Because developers are likely to need privileged access to
> > reload kernel drivers, not to mention a tendency for often reboots:-)
> Ok, I thought that nouveau could possibly support OpenCL, but I'm not
> familiar with this.
> Otherwise, we would need Nvidia proprietary drivers & CUDA, or just don't
> use the GPU at all.
> cfarm-users mailing list
> cfarm-users at lists.tetaneutral.net
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the cfarm-users