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    SubjectRe: [PATCH v3 00/14] Driver of Intel(R) Gaussian & Neural Accelerator
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    Hi

    Am 17.05.21 um 09:40 schrieb Daniel Vetter:
    > On Fri, May 14, 2021 at 11:00:38AM +0200, Arnd Bergmann wrote:
    >> On Fri, May 14, 2021 at 10:34 AM Greg Kroah-Hartman
    >> <gregkh@linuxfoundation.org> wrote:
    >>> On Thu, May 13, 2021 at 01:00:26PM +0200, Maciej Kwapulinski wrote:
    >>>> Dear kernel maintainers,
    >>>>
    >>>> This submission is a kernel driver to support Intel(R) Gaussian & Neural
    >>>> Accelerator (Intel(R) GNA). Intel(R) GNA is a PCI-based neural co-processor
    >>>> available on multiple Intel platforms. AI developers and users can offload
    >>>> continuous inference workloads to an Intel(R) GNA device in order to
    free
    >>>> processor resources and save power. Noise reduction and speech recognition
    >>>> are the examples of the workloads Intel(R) GNA deals with while its usage
    >>>> is not limited to the two.
    >>>
    >>> How does this compare with the "nnpi" driver being proposed here:
    >>> https://lore.kernel.org/r/20210513085725.45528-1-guy.zadicario@intel.com
    >>>
    >>> Please work with those developers to share code and userspace api and
    >>> tools. Having the community review two totally different apis and
    >>> drivers for the same type of functionality from the same company is
    >>> totally wasteful of our time and energy.
    >>
    >> Agreed, but I think we should go further than this and work towards a
    >> subsystem across companies for machine learning and neural networks
    >> accelerators for both inferencing and training.
    >
    > We have, it's called drivers/gpu. Feel free to rename to drivers/xpu or
    > think G as in General, not Graphisc.

    I hope this was a joke.

    Just some thoughts:

    AFAICT AI first came as an application of GPUs, but has now
    evolved/specialized into something of its own. I can imagine sharing
    some code among the various subsystems, say GEM/TTM internals for memory
    management. Besides that there's probably little that can be shared in
    the userspace interfaces. A GPU is device that puts an image onto the
    screen and an AI accelerator isn't. Treating both as the same, even if
    they share similar chip architectures, seems like a stretch. They might
    evolve in different directions and fit less and less under the same
    umbrella.

    And as Dave mentioned, these devices are hard to obtain. We don't really
    know what we sign up for.

    Just my 2 cents.

    Best regards
    Thomas



    --
    Thomas Zimmermann
    Graphics Driver Developer
    SUSE Software Solutions Germany GmbH
    Maxfeldstr. 5, 90409 Nürnberg, Germany
    (HRB 36809, AG Nürnberg)
    Geschäftsführer: Felix Imendörffer

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