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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>
6.7 KiB
6.7 KiB