Re: Making drm_gpuvm work across gpu devices

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Hi Oak,

you can still use SVM, but it should not be a design criteria for the kernel UAPI. In other words the UAPI should be designed in such a way that the GPU virtual address can be equal to the CPU virtual address of a buffer, but can also be different to support use cases where this isn't the case.

Additionally to what Dave wrote I can summarize a few things I have learned while working on the AMD GPU drivers in the last decade or so:

1. Userspace requirements are *not* relevant for UAPI or even more general kernel driver design.

2. What should be done is to look at the hardware capabilities and try to expose those in a save manner to userspace.

3. The userspace requirements are then used to validate the kernel driver and especially the UAPI design to ensure that nothing was missed.

The consequence of this is that nobody should ever use things like Cuda, Vulkan, OpenCL, OpenGL etc.. as argument to propose a certain UAPI design.

What should be done instead is to say: My hardware works in this and that way -> we want to expose it like this -> because that enables us to implement the high level API in this and that way.

Only this gives then a complete picture of how things interact together and allows the kernel community to influence and validate the design.

This doesn't mean that you need to throw away everything, but it gives a clear restriction that designs are not nailed in stone and for example you can't use something like a waterfall model.

Going to answer on your other questions separately.

Regards,
Christian.

Am 25.01.24 um 06:25 schrieb Zeng, Oak:
Hi Dave,

Let me step back. When I wrote " shared virtual address space b/t cpu and all gpu devices is a hard requirement for our system allocator design", I meant this is not only Intel's design requirement. Rather this is a common requirement for both Intel, AMD and Nvidia. Take a look at cuda driver API definition of cuMemAllocManaged (search this API on https://docs.nvidia.com/cuda/cuda-driver-api/group__CUDA__MEM.html#group__CUDA__MEM), it said:

"The pointer is valid on the CPU and on all GPUs in the system that support managed memory."

This means the program virtual address space is shared b/t CPU and all GPU devices on the system. The system allocator we are discussing is just one step advanced than cuMemAllocManaged: it allows malloc'ed memory to be shared b/t CPU and all GPU devices.

I hope we all agree with this point.

With that, I agree with Christian that in kmd we should make driver code per-device based instead of managing all devices in one driver instance. Our system allocator (and generally xekmd)design follows this rule: we make xe_vm per device based - one device is *not* aware of other device's address space, as I explained in previous email. I started this email seeking a one drm_gpuvm instance to cover all GPU devices. I gave up this approach (at least for now) per Danilo and Christian's feedback: We will continue to have per device based drm_gpuvm. I hope this is aligned with Christian but I will have to wait for Christian's reply to my previous email.

I hope this clarify thing a little.

Regards,
Oak

-----Original Message-----
From: dri-devel <dri-devel-bounces@xxxxxxxxxxxxxxxxxxxxx> On Behalf Of David
Airlie
Sent: Wednesday, January 24, 2024 8:25 PM
To: Zeng, Oak <oak.zeng@xxxxxxxxx>
Cc: Ghimiray, Himal Prasad <himal.prasad.ghimiray@xxxxxxxxx>;
Thomas.Hellstrom@xxxxxxxxxxxxxxx; Winiarski, Michal
<michal.winiarski@xxxxxxxxx>; Felix Kuehling <felix.kuehling@xxxxxxx>; Welty,
Brian <brian.welty@xxxxxxxxx>; Shah, Ankur N <ankur.n.shah@xxxxxxxxx>; dri-
devel@xxxxxxxxxxxxxxxxxxxxx; intel-xe@xxxxxxxxxxxxxxxxxxxxx; Gupta, saurabhg
<saurabhg.gupta@xxxxxxxxx>; Danilo Krummrich <dakr@xxxxxxxxxx>; Daniel
Vetter <daniel@xxxxxxxx>; Brost, Matthew <matthew.brost@xxxxxxxxx>; Bommu,
Krishnaiah <krishnaiah.bommu@xxxxxxxxx>; Vishwanathapura, Niranjana
<niranjana.vishwanathapura@xxxxxxxxx>; Christian König
<christian.koenig@xxxxxxx>
Subject: Re: Making drm_gpuvm work across gpu devices


For us, Xekmd doesn't need to know it is running under bare metal or
virtualized environment. Xekmd is always a guest driver. All the virtual address
used in xekmd is guest virtual address. For SVM, we require all the VF devices
share one single shared address space with guest CPU program. So all the design
works in bare metal environment can automatically work under virtualized
environment. +@Shah, Ankur N +@Winiarski, Michal to backup me if I am wrong.


Again, shared virtual address space b/t cpu and all gpu devices is a hard
requirement for our system allocator design (which means malloc’ed memory,
cpu stack variables, globals can be directly used in gpu program. Same
requirement as kfd SVM design). This was aligned with our user space software
stack.

Just to make a very general point here (I'm hoping you listen to
Christian a bit more and hoping he replies in more detail), but just
because you have a system allocator design done, it doesn't in any way
enforce the requirements on the kernel driver to accept that design.
Bad system design should be pushed back on, not enforced in
implementation stages. It's a trap Intel falls into regularly since
they say well we already agreed this design with the userspace team
and we can't change it now. This isn't acceptable. Design includes
upstream discussion and feedback, if you say misdesigned the system
allocator (and I'm not saying you definitely have), and this is
pushing back on that, then you have to go fix your system
architecture.

KFD was an experiment like this, I pushed back on AMD at the start
saying it was likely a bad plan, we let it go and got a lot of
experience in why it was a bad design.

Dave.




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