cpufreq/cpufreq_intellidemand: intellidemand cpufreq governor (version 4.1)

Intellidemand is inspired by ondemand governor. Its main features are:

 - auto cpu hotplugging based on runnable thread average calculations
 - detection of browsing mode (long screen on activities with moderate run
   queue depth =< 45 )
 - limit max frequencies when in browsing mode to conserve battery for long
   duration tasks

Browsing State Determination:
 1- Browsing state is enabled as power-on default. Browsing state is disabled
    when run queue depth is > 45 (very high instantaneous spikes)

Browsing State Limit Max Freq Logic (sliding window algorithm):
 1- While Screen is ON > 3 min, and average load of the CPU is < 35%, then
    CPU Max frequencies will remain power-on default
 2- While Screen is On, if average CPU load > 35%, both CPUs max frequencies
    will be limited to a lower user configurable max value
 3- While Screen is On, After all CPUs' Max is limited to lowered max, when
    the average CPU load has dropped down to less than < 25%, then all CPUs
    Max freq will be restored to back to power-on default

Runnable Thread Auto-hotplug (fast hotplug / slow unplug algorithm):
 1- When average number of running thread is < threshold, another cpu will be
    unplugged.
 2- When > threshold, another cpu will be hotplugged.
 3- The logic applies a fast hotplug and slow unplug algorithm so additional
    cores will stay enabled longer to help deal with performance spikes

changes from Ver 2.0 -> Ver 3.0:
  - remove GPU Busy dependency for browsing state detection (this will make
    the governor more portable to other platforms without specific GPU
    architecture knowledge)

dependencies:
  -- Qualcomm's run queue average logic (SOC independent logic)
  -- TI's runnable thread average logic (SOC independent logic)

Forward ported to Linux 3.4

Signed-off-by: faux123 <reioux@gmail.com>
scheduler: compute time-average nr_running per run-queue

Compute the time-average number of running tasks per run-queue for a
trailing window of a fixed time period. The detla add/sub to the
average value is weighted by the amount of time per nr_running value
relative to the total measurement period.

Change-Id: I076e24ff4ed65bed3b8dd8d2b279a503318071ff
Signed-off-by: Diwakar Tundlam <dtundlam@nvidia.com>
(cherry picked from commit 3a12d7499cee352e8a46eaf700259ba3c733f0e3)
Reviewed-on: http://git-master/r/111635
Reviewed-by: Automatic_Commit_Validation_User
Reviewed-by: Sai Gurrappadi <sgurrappadi@nvidia.com>
Tested-by: Sai Gurrappadi <sgurrappadi@nvidia.com>
Reviewed-by: Peter Boonstoppel <pboonstoppel@nvidia.com>
Reviewed-by: Yu-Huan Hsu <yhsu@nvidia.com>

forward ported to Linux 3.4

Signed-off-by: faux123 <reioux@gmail.com>
scheduler: Re-compute time-average nr_running on read

Re-compute time-average nr_running when it is read. This would
prevent reading stalled average value if there were no run-queue
changes for a long time. New average value is returned to the reader,
but not stored to avoid concurrent writes. Light-weight sequential
counter synchronization is used to assure data consistency for
re-computing average.

Change-Id: I8e4ea1b28ea00b3ddaf6ef7cdcd27866f87d360b
Signed-off-by: Alex Frid <afrid@nvidia.com>
(cherry picked from commit 527a759d9b40bf57958eb002edd2bb82014dab99)
Reviewed-on: http://git-master/r/111637
Reviewed-by: Sai Gurrappadi <sgurrappadi@nvidia.com>
Tested-by: Sai Gurrappadi <sgurrappadi@nvidia.com>
Reviewed-by: Automatic_Commit_Validation_User
Reviewed-by: Peter Boonstoppel <pboonstoppel@nvidia.com>
Reviewed-by: Yu-Huan Hsu <yhsu@nvidia.com>

forward ported to Linux 3.4 for use on Mako

Signed-off-by: faux123 <reioux@gmail.com>
LOAD_FREQ (4*HZ+61) avoids loadavg Moire

By Klaus Ripke

https://lkml.org/lkml/2011/11/12/39