sched/fair: Energy-aware wake-up task placement

sched/fair: Energy-aware wake-up task placement

When the systems is not overutilized, place waking tasks on the most
energy efficient cpu. Previous attempts reduced the search space by
matching task utilization to cpu capacity before consulting the energy
model as this is an expensive operation. The search heuristics didn't
work very well and lacking any better alternatives this patch takes the
brute-force route and tries all potential targets.

This approach doesn't scale, but it might be sufficient for many
embedded applications while work is continuing on a heuristic that can
minimize the necessary computations. The heuristic must be derrived from
the platform energy model rather than make additional assumptions, such
lower capacity implies better energy efficiency. PeterZ mentioned in the
past that we might be able to derrive some simpler deciding functions
using mathematical (modal?) analysis.

Change-Id: I772bacb4c8fd599f8006fa422f842e66377a9c6c
Signed-off-by: Morten Rasmussen <morten.rasmussen@arm.com>
[rebase: on top of msm-google/android-msm-marlin-3.18]
Signed-off-by: Dietmar Eggemann <dietmar.eggemann@arm.com>
(cherry picked from commit a894422dbdb7b77ea2acfe7ff909ccb5ded23514)
Signed-off-by: Chris Redpath <chris.redpath@arm.com>