On Tue, Jan 03, 2023 at 01:02:15PM +0000, Tvrtko Ursulin wrote:
On 02/01/2023 07:30, Boris Brezillon wrote:
On Fri, 30 Dec 2022 12:55:08 +0100
Boris Brezillon <boris.brezillon@xxxxxxxxxxxxx> wrote:
On Fri, 30 Dec 2022 11:20:42 +0100
Boris Brezillon <boris.brezillon@xxxxxxxxxxxxx> wrote:
Hello Matthew,
On Thu, 22 Dec 2022 14:21:11 -0800
Matthew Brost <matthew.brost@xxxxxxxxx> wrote:
In XE, the new Intel GPU driver, a choice has made to have a 1 to 1
mapping between a drm_gpu_scheduler and drm_sched_entity. At first this
seems a bit odd but let us explain the reasoning below.
1. In XE the submission order from multiple drm_sched_entity is not
guaranteed to be the same completion even if targeting the same hardware
engine. This is because in XE we have a firmware scheduler, the GuC,
which allowed to reorder, timeslice, and preempt submissions. If a using
shared drm_gpu_scheduler across multiple drm_sched_entity, the TDR falls
apart as the TDR expects submission order == completion order. Using a
dedicated drm_gpu_scheduler per drm_sched_entity solve this problem.
Oh, that's interesting. I've been trying to solve the same sort of
issues to support Arm's new Mali GPU which is relying on a FW-assisted
scheduling scheme (you give the FW N streams to execute, and it does
the scheduling between those N command streams, the kernel driver
does timeslice scheduling to update the command streams passed to the
FW). I must admit I gave up on using drm_sched at some point, mostly
because the integration with drm_sched was painful, but also because I
felt trying to bend drm_sched to make it interact with a
timeslice-oriented scheduling model wasn't really future proof. Giving
drm_sched_entity exlusive access to a drm_gpu_scheduler probably might
help for a few things (didn't think it through yet), but I feel it's
coming short on other aspects we have to deal with on Arm GPUs.
Ok, so I just had a quick look at the Xe driver and how it
instantiates the drm_sched_entity and drm_gpu_scheduler, and I think I
have a better understanding of how you get away with using drm_sched
while still controlling how scheduling is really done. Here
drm_gpu_scheduler is just a dummy abstract that let's you use the
drm_sched job queuing/dep/tracking mechanism. The whole run-queue
selection is dumb because there's only one entity ever bound to the
scheduler (the one that's part of the xe_guc_engine object which also
contains the drm_gpu_scheduler instance). I guess the main issue we'd
have on Arm is the fact that the stream doesn't necessarily get
scheduled when ->run_job() is called, it can be placed in the runnable
queue and be picked later by the kernel-side scheduler when a FW slot
gets released. That can probably be sorted out by manually disabling the
job timer and re-enabling it when the stream gets picked by the
scheduler. But my main concern remains, we're basically abusing
drm_sched here.
For the Arm driver, that means turning the following sequence
1. wait for job deps
2. queue job to ringbuf and push the stream to the runnable
queue (if it wasn't queued already). Wakeup the timeslice scheduler
to re-evaluate (if the stream is not on a FW slot already)
3. stream gets picked by the timeslice scheduler and sent to the FW for
execution
into
1. queue job to entity which takes care of waiting for job deps for
us
2. schedule a drm_sched_main iteration
3. the only available entity is picked, and the first job from this
entity is dequeued. ->run_job() is called: the job is queued to the
ringbuf and the stream is pushed to the runnable queue (if it wasn't
queued already). Wakeup the timeslice scheduler to re-evaluate (if
the stream is not on a FW slot already)
4. stream gets picked by the timeslice scheduler and sent to the FW for
execution
That's one extra step we don't really need. To sum-up, yes, all the
job/entity tracking might be interesting to share/re-use, but I wonder
if we couldn't have that without pulling out the scheduling part of
drm_sched, or maybe I'm missing something, and there's something in
drm_gpu_scheduler you really need.
On second thought, that's probably an acceptable overhead (not even
sure the extra step I was mentioning exists in practice, because dep
fence signaled state is checked as part of the drm_sched_main
iteration, so that's basically replacing the worker I schedule to
check job deps), and I like the idea of being able to re-use drm_sched
dep-tracking without resorting to invasive changes to the existing
logic, so I'll probably give it a try.
I agree with the concerns and think that how Xe proposes to integrate with
drm_sched is a problem, or at least significantly inelegant.
Inelegant is a matter of opinion, I actually rather like this solution.
BTW this isn't my design rather this was Jason's idea.
AFAICT it proposes to have 1:1 between *userspace* created contexts (per
context _and_ engine) and drm_sched. I am not sure avoiding invasive changes
to the shared code is in the spirit of the overall idea and instead
opportunity should be used to look at way to refactor/improve drm_sched.
Yes, it is 1:1 *userspace* engines and drm_sched.
I'm not really prepared to make large changes to DRM scheduler at the
moment for Xe as they are not really required nor does Boris seem they
will be required for his work either. I am interested to see what Boris
comes up with.
Even on the low level, the idea to replace drm_sched threads with workers
has a few problems.
To start with, the pattern of:
while (not_stopped) {
keep picking jobs
}
Feels fundamentally in disagreement with workers (while obviously fits
perfectly with the current kthread design).
The while loop breaks and worker exists if no jobs are ready.
Secondly, it probably demands separate workers (not optional), otherwise
behaviour of shared workqueues has either the potential to explode number
kernel threads anyway, or add latency.
Right now the system_unbound_wq is used which does have a limit on the
number of threads, right? I do have a FIXME to allow a worker to be
passed in similar to TDR.
WRT to latency, the 1:1 ratio could actually have lower latency as 2 GPU
schedulers can be pushing jobs into the backend / cleaning up jobs in
parallel.
