On Wed, Mar 24, 2021 at 7:39 PM Maciej Kwapulinski <maciej.kwapulinski@xxxxxxxxxxxxxxx> wrote: > 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. I clearly remember Olof Johansson talking about the potential need of creating a kernel subsystem for inference engines, so I believe he wants to be in on this discussion. There is already misc/habanalabs, and I personally feel this is already going in the same direction as did pin control before we standardized it (somewhat), with vendors claiming they are all necessarily different. So are they necessarily different? New frontiers in the Wild West every vendor shooting from the hip without any attempts at standardizing this thing? Habanalabs was first at this and they made it in, has there been any attempt to see if the two drivers could actually share code or have anything in common? Could they share interfaces to userspace? That kind of thing. In the end what kernel users want is to be able to write a userspace making use of any kind of inference/statistics engine without having to worry about the underlying hardware, this is what abstractions are for. > The driver works with Intel(R) libraries in user space. The Intel(R) driver > exposes a few IOCTL interfaces for use by libraries in user space. The > libraries are open sourced and are available at: > https://github.com/intel/gna This is nice. Have you made any attempts to cooperate with anyone else in the world on this, or is this Intel's personal playground? Yours, Linus Walleij
