thermal/intel_powerclamp: Convert the kthread to kthread worker API
Kthreads are currently implemented as an infinite loop. Each
has its own variant of checks for terminating, freezing,
awakening. In many cases it is unclear to say in which state
it is and sometimes it is done a wrong way.
The plan is to convert kthreads into kthread_worker or workqueues
API. It allows to split the functionality into separate operations.
It helps to make a better structure. Also it defines a clean state
where no locks are taken, IRQs blocked, the kthread might sleep
or even be safely migrated.
The kthread worker API is useful when we want to have a dedicated
single thread for the work. It helps to make sure that it is
available when needed. Also it allows a better control, e.g.
define a scheduling priority.
This patch converts the intel powerclamp kthreads into the kthread
worker because they need to have a good control over the assigned
CPUs.
IMHO, the most natural way is to split one cycle into two works.
First one does some balancing and let the CPU work normal
way for some time. The second work checks what the CPU has done
in the meantime and put it into C-state to reach the required
idle time ratio. The delay between the two works is achieved
by the delayed kthread work.
The two works have to share some data that used to be local
variables of the single kthread function. This is achieved
by the new per-CPU struct kthread_worker_data. It might look
as a complication. On the other hand, the long original kthread
function was not nice either.
The patch tries to avoid extra init and cleanup works. All the
actions might be done outside the thread. They are moved
to the functions that create or destroy the worker. Especially,
I checked that the timers are assigned to the right CPU.
The two works are queuing each other. It makes it a bit tricky to
break it when we want to stop the worker. We use the global and
per-worker "clamping" variables to make sure that the re-queuing
eventually stops. We also cancel the works to make it faster.
Note that the canceling is not reliable because the handling
of the two variables and queuing is not synchronized via a lock.
But it is not a big deal because it is just an optimization.
The job is stopped faster than before in most cases.
Signed-off-by: Petr Mladek <pmladek@suse.com>
Signed-off-by: Jacob Pan <jacob.jun.pan@linux.intel.com>
Signed-off-by: Rafael J. Wysocki <rafael.j.wysocki@intel.com>
1 file changed