Current PM resource reservation system is limited to HWPM resources
only. And reservation tracking is done using boolean variables.
New upcoming profiler support requires reservation for all the PM
resources like SMPC and PMA stream. Using boolean variables is
not scalable and confusing. Plus the variables have to be replicated
on gpu server in case of virtualization.
Remove flag tracking mechanism and use list based approach to track
all PM reservations. Also, current HALs are defined on debugger object.
Implement new HALs in new pm_reservation object since it is really an
independent functionality.
Add new source file common/profiler/pm_reservation.c which implements
functions to reserve/release resources and to check if any resource
is reserved or not.
Add common/vgpu/pm_reservation_vgpu.c for vGPU which simply forwards
the request to gpu server.
Define new HAL object gops.pm_reservation and assign above functions
to below respective HALs :
g->ops.pm_reservation.acquire()
g->ops.pm_reservation.release()
g->ops.pm_reservation.release_all_per_vmid()
Last HAL above is only used for gpu server cleanup of guest OS.
Add below new common profiler functions that act as APIs to reserve/
release resources for rest of the units in nvgpu.
nvgpu_profiler_pm_resource_reserve()
nvgpu_profiler_pm_resource_release()
Initialize the meta data required for reservtion system in
nvgpu_pm_reservation_init() and call it during nvgpu_finalize_poweron.
Clean up the meta data before releasing struct gk20a.
Delete below HALs :
g->ops.debugger.check_and_set_global_reservation()
g->ops.debugger.check_and_set_context_reservation()
g->ops.debugger.release_profiler_reservation()
Bug 2510974
Jira NVGPU-5360
Change-Id: I4d9f89c58c791b3b2e63099a8a603462e5319222
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2367224
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
The exec_regops() API was using a u64 for the num_ops parameter. The
lower level APIs used by exec_regops() expect u32s for this value.
Update the interface to use u32.
This eliminates MISRA Rule 10.3 violations for assignment of objects of
different essential or narrower types.
JIRA: NVGPU-3023
Change-Id: I5a2a22916f81d8b3d882d224d07eedffcde1e3ee
Signed-off-by: Philip Elcan <pelcan@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2084207
Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com>
Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
