cpuidle: Remove CPUIDLE_FLAG_IGNORE and dev->prepare()

The cpuidle_device->prepare() mechanism causes updates to the
cpuidle_state[].flags, setting and clearing CPUIDLE_FLAG_IGNORE
to tell the governor not to chose a state on a per-cpu basis at
run-time. State demotion is now handled by the driver and it returns
the actual state entered. Hence, this mechanism is not required.
Also this removes per-cpu flags from cpuidle_state enabling
it to be made global.

Reference:
https://lkml.org/lkml/2011/3/25/52

Signed-off-by: Deepthi Dharwar <deepthi@linux.vnet.ibm>
Signed-off-by: Trinabh Gupta <g.trinabh@gmail.com>
Tested-by: Jean Pihet <j-pihet@ti.com>
Acked-by: Arjan van de Ven <arjan@linux.intel.com>
Reviewed-by: Kevin Hilman <khilman@ti.com>
Signed-off-by: Len Brown <len.brown@intel.com>
 random: Statically compute poolbitshift, poolbytes, poolbits
Use a macro to statically compute poolbitshift (will be used in a
subsequent patch), poolbytes, and poolbits.  On virtually all
architectures the cost of a memory load with an offset is the same as
the one of a memory load.

It is still possible for this to generate worse code since the C
compiler doesn't know the fixed relationship between these fields, but
that is somewhat unlikely.
mutex: Make more scalable by doing less atomic operations

Date	Thu, 4 Apr 2013 10:54:16 -0400

In the __mutex_lock_common() function, an initial entry into
the lock slow path will cause two atomic_xchg instructions to be
issued. Together with the atomic decrement in the fast path, a total
of three atomic read-modify-write instructions will be issued in
rapid succession. This can cause a lot of cache bouncing when many
tasks are trying to acquire the mutex at the same time.

This patch will reduce the number of atomic_xchg instructions used by
checking the counter value first before issuing the instruction. The
atomic_read() function is just a simple memory read. The atomic_xchg()
function, on the other hand, can be up to 2 order of magnitude or even
more in cost when compared with atomic_read(). By using atomic_read()
to check the value first before calling atomic_xchg(), we can avoid a
lot of unnecessary cache coherency traffic. The only downside with this
change is that a task on the slow path will have a tiny bit
less chance of getting the mutex when competing with another task
in the fast path.

The same is true for the atomic_cmpxchg() function in the
mutex-spin-on-owner loop. So an atomic_read() is also performed before
calling atomic_cmpxchg().

The mutex locking and unlocking code for the x86 architecture can allow
any negative number to be used in the mutex count to indicate that some
tasks are waiting for the mutex. I am not so sure if that is the case
for the other architectures. So the default is to avoid atomic_xchg()
if the count has already been set to -1. For x86, the check is modified
to include all negative numbers to cover a larger case.

The following table shows the scalability data on an 8-node 80-core
Westmere box with a 3.7.10 kernel. The numactl command is used to
restrict the running of the high_systime workloads to 1/2/4/8 nodes
with hyperthreading on and off.

+-----------------+------------------+------------------+----------+
|  Configuration  | Mean Transaction | Mean Transaction | % Change |
|		  |  Rate w/o patch  | Rate with patch  |	   |
+-----------------+------------------------------------------------+
|		  |              User Range 1100 - 2000		   |
+-----------------+------------------------------------------------+
| 8 nodes, HT on  |      36980       |      148590      | +301.8%  |
| 8 nodes, HT off |      42799       |      145011      | +238.8%  |
| 4 nodes, HT on  |	 61318       |      118445      |  +51.1%  |
| 4 nodes, HT off |     158481       |      158592      |   +0.1%  |
| 2 nodes, HT on  |     180602       |      173967      |   -3.7%  |
| 2 nodes, HT off |     198409       |      198073      |   -0.2%  |
| 1 node , HT on  |     149042       |      147671      |   -0.9%  |
| 1 node , HT off |     126036       |      126533      |   +0.4%  |
+-----------------+------------------------------------------------+
|		  |              User Range 200 - 1000		   |
+-----------------+------------------------------------------------+
| 8 nodes, HT on  |      41525       |      122349      | +194.6%  |
| 8 nodes, HT off |      49866       |      124032      | +148.7%  |
| 4 nodes, HT on  |	 66409       |      106984      |  +61.1%  |
| 4 nodes, HT off |     119880       |      130508      |   +8.9%  |
| 2 nodes, HT on  |     138003       |      133948      |   -2.9%  |
| 2 nodes, HT off |     132792       |      131997      |   -0.6%  |
| 1 node , HT on  |     116593       |      115859      |   -0.6%  |
| 1 node , HT off |     104499       |      104597      |   +0.1%  |
+-----------------+------------------+------------------+----------+
AIM7 benchmark run has a pretty large run-to-run variance due to random
nature of the subtests executed. So a difference of less than +-5%
may not be really significant.

This patch improves high_systime workload performance at 4 nodes
and up by maintaining transaction rates without significant drop-off
at high node count.  The patch has practically no impact on 1 and 2
nodes system.

The table below shows the percentage time (as reported by perf
record -a -s -g) spent on the __mutex_lock_slowpath() function by
the high_systime workload at 1500 users for 2/4/8-node configurations
with hyperthreading off.

+---------------+-----------------+------------------+---------+
| Configuration | %Time w/o patch | %Time with patch | %Change |
+---------------+-----------------+------------------+---------+
|    8 nodes    |      65.34%     |      0.69%       |  -99%   |
|    4 nodes    |       8.70%	  |      1.02%	     |  -88%   |
|    2 nodes    |       0.41%     |      0.32%       |  -22%   |
+---------------+-----------------+------------------+---------+
It is obvious that the dramatic performance improvement at 8
nodes was due to the drastic cut in the time spent within the
__mutex_lock_slowpath() function.

The table below show the improvements in other AIM7 workloads (at 8
nodes, hyperthreading off).

+--------------+---------------+----------------+-----------------+
|   Workload   | mean % change | mean % change  | mean % change   |
|              | 10-100 users  | 200-1000 users | 1100-2000 users |
+--------------+---------------+----------------+-----------------+
| alltests     |     +0.6%     |   +104.2%      |   +185.9%       |
| five_sec     |     +1.9%     |     +0.9%      |     +0.9%       |
| fserver      |     +1.4%     |     -7.7%      |     +5.1%       |
| new_fserver  |     -0.5%     |     +3.2%      |     +3.1%       |
| shared       |    +13.1%     |   +146.1%      |   +181.5%       |
| short        |     +7.4%     |     +5.0%      |     +4.2%       |
+--------------+---------------+----------------+-----------------+
Signed-off-by: Waiman Long <Waiman.Long@hp.com>
Reviewed-by: Davidlohr Bueso <davidlohr.bueso@hp.com>
[PATCHv2 1/2] sched: Folding nohz load accounting more accurate

V1-->V2 Use per-cpu variable instead of cpumask to avoid lock.

After patch 453494c3d4 (sched: Fix nohz load accounting -- again!), we can fold
the idle into calc_load_tasks_idle between the last cpu load calculating and
calc_global_load calling. However problem still exits between the first cpu
load calculating and the last cpu load calculating. Every time when we do load
calculating, calc_load_tasks_idle will be added into calc_load_tasks, even if
the idle load is caused by calculated cpus. Consider following case:
5HZ+1
| cpu0_load     cpu1    cpu2    cpu3    calc_load_tasks    tasks_idle
|    1           1       1       1
|  -->calc_load                             1                  0
|    1           1       1       1
|                    -->calc_load           2                  0
|    0           0       1       0
|                    -->calc_load           2+1-3=0            -3
|    1           1       0       1
|                            -->calc_load   1-1=0              -1
V
5HZ+11     -->calc_global_load              0                  0

actually the load should be around 3, but shows nearly 0.

This can be found in our work load. The average running processes number
is about 15, but the load only shows about 4.

We provides a solution, by taking those load not calculated cpus' idle out from
global idle as calc_unmask_cpu_load_idle. Then when calc_load execute on every
cpu, we only fold calc_unmask_cpu_load_idle. After this patch, case above
should be as follow:
5HZ+1
| cpu0_load     cpu1    cpu2    cpu3   calc_load_tasks tasks_idle  unmask_idle
|    1           1       1       1
|  -->calc_load                             1              0           0
|    1           1       1       1
|              -->calc_load                 2              0           0
|    0           0       1       0
|                    -->calc_load           2+1-1=2        -3          -1
|    1           1       0       1
|                            -->calc_load   2+1=3          -2-1=-3     0
V
5HZ+11     -->calc_global_load              3              -3          0

CC: Peter Zijlstra <peterz@infradead.org>
CC: Doug Smythies <dsmythies@telus.net>
CC: Ingo Molnar <mingo@redhat.com>
CC: Tao Ma <tm@tao.ma>
CC: Sha Zhengju <handai.szj@gmail.com>
Reported-by: Sha Zhengju <handai.szj@gmail.com>
Signed-off-by: Charles Wang <muming.wq@taobao.com>
Signed-off-by: Locasto <amperific@gmail.com>

Conflicts:
	kernel/time/timekeeping.c