20e3341bb1
Signed-off-by: Len Brown <len.brown@intel.com>
423 lines
12 KiB
C
423 lines
12 KiB
C
/*
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* menu.c - the menu idle governor
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*
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* Copyright (C) 2006-2007 Adam Belay <abelay@novell.com>
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* Copyright (C) 2009 Intel Corporation
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* Author:
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* Arjan van de Ven <arjan@linux.intel.com>
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*
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* This code is licenced under the GPL version 2 as described
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* in the COPYING file that acompanies the Linux Kernel.
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*/
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#include <linux/kernel.h>
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#include <linux/cpuidle.h>
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#include <linux/pm_qos_params.h>
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#include <linux/time.h>
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#include <linux/ktime.h>
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#include <linux/hrtimer.h>
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#include <linux/tick.h>
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#include <linux/sched.h>
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#include <linux/math64.h>
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#define BUCKETS 12
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#define INTERVALS 8
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#define RESOLUTION 1024
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#define DECAY 8
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#define MAX_INTERESTING 50000
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#define STDDEV_THRESH 400
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/*
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* Concepts and ideas behind the menu governor
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*
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* For the menu governor, there are 3 decision factors for picking a C
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* state:
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* 1) Energy break even point
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* 2) Performance impact
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* 3) Latency tolerance (from pmqos infrastructure)
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* These these three factors are treated independently.
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*
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* Energy break even point
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* -----------------------
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* C state entry and exit have an energy cost, and a certain amount of time in
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* the C state is required to actually break even on this cost. CPUIDLE
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* provides us this duration in the "target_residency" field. So all that we
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* need is a good prediction of how long we'll be idle. Like the traditional
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* menu governor, we start with the actual known "next timer event" time.
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*
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* Since there are other source of wakeups (interrupts for example) than
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* the next timer event, this estimation is rather optimistic. To get a
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* more realistic estimate, a correction factor is applied to the estimate,
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* that is based on historic behavior. For example, if in the past the actual
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* duration always was 50% of the next timer tick, the correction factor will
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* be 0.5.
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*
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* menu uses a running average for this correction factor, however it uses a
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* set of factors, not just a single factor. This stems from the realization
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* that the ratio is dependent on the order of magnitude of the expected
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* duration; if we expect 500 milliseconds of idle time the likelihood of
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* getting an interrupt very early is much higher than if we expect 50 micro
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* seconds of idle time. A second independent factor that has big impact on
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* the actual factor is if there is (disk) IO outstanding or not.
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* (as a special twist, we consider every sleep longer than 50 milliseconds
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* as perfect; there are no power gains for sleeping longer than this)
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*
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* For these two reasons we keep an array of 12 independent factors, that gets
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* indexed based on the magnitude of the expected duration as well as the
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* "is IO outstanding" property.
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*
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* Repeatable-interval-detector
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* ----------------------------
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* There are some cases where "next timer" is a completely unusable predictor:
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* Those cases where the interval is fixed, for example due to hardware
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* interrupt mitigation, but also due to fixed transfer rate devices such as
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* mice.
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* For this, we use a different predictor: We track the duration of the last 8
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* intervals and if the stand deviation of these 8 intervals is below a
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* threshold value, we use the average of these intervals as prediction.
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*
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* Limiting Performance Impact
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* ---------------------------
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* C states, especially those with large exit latencies, can have a real
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* noticeable impact on workloads, which is not acceptable for most sysadmins,
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* and in addition, less performance has a power price of its own.
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*
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* As a general rule of thumb, menu assumes that the following heuristic
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* holds:
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* The busier the system, the less impact of C states is acceptable
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*
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* This rule-of-thumb is implemented using a performance-multiplier:
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* If the exit latency times the performance multiplier is longer than
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* the predicted duration, the C state is not considered a candidate
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* for selection due to a too high performance impact. So the higher
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* this multiplier is, the longer we need to be idle to pick a deep C
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* state, and thus the less likely a busy CPU will hit such a deep
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* C state.
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*
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* Two factors are used in determing this multiplier:
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* a value of 10 is added for each point of "per cpu load average" we have.
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* a value of 5 points is added for each process that is waiting for
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* IO on this CPU.
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* (these values are experimentally determined)
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*
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* The load average factor gives a longer term (few seconds) input to the
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* decision, while the iowait value gives a cpu local instantanious input.
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* The iowait factor may look low, but realize that this is also already
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* represented in the system load average.
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*
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*/
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struct menu_device {
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int last_state_idx;
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int needs_update;
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unsigned int expected_us;
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u64 predicted_us;
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unsigned int exit_us;
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unsigned int bucket;
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u64 correction_factor[BUCKETS];
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u32 intervals[INTERVALS];
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int interval_ptr;
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};
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#define LOAD_INT(x) ((x) >> FSHIFT)
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#define LOAD_FRAC(x) LOAD_INT(((x) & (FIXED_1-1)) * 100)
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static int get_loadavg(void)
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{
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unsigned long this = this_cpu_load();
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return LOAD_INT(this) * 10 + LOAD_FRAC(this) / 10;
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}
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static inline int which_bucket(unsigned int duration)
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{
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int bucket = 0;
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/*
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* We keep two groups of stats; one with no
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* IO pending, one without.
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* This allows us to calculate
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* E(duration)|iowait
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*/
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if (nr_iowait_cpu(smp_processor_id()))
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bucket = BUCKETS/2;
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if (duration < 10)
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return bucket;
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if (duration < 100)
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return bucket + 1;
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if (duration < 1000)
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return bucket + 2;
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if (duration < 10000)
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return bucket + 3;
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if (duration < 100000)
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return bucket + 4;
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return bucket + 5;
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}
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/*
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* Return a multiplier for the exit latency that is intended
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* to take performance requirements into account.
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* The more performance critical we estimate the system
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* to be, the higher this multiplier, and thus the higher
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* the barrier to go to an expensive C state.
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*/
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static inline int performance_multiplier(void)
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{
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int mult = 1;
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/* for higher loadavg, we are more reluctant */
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mult += 2 * get_loadavg();
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/* for IO wait tasks (per cpu!) we add 5x each */
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mult += 10 * nr_iowait_cpu(smp_processor_id());
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return mult;
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}
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static DEFINE_PER_CPU(struct menu_device, menu_devices);
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static void menu_update(struct cpuidle_device *dev);
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/* This implements DIV_ROUND_CLOSEST but avoids 64 bit division */
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static u64 div_round64(u64 dividend, u32 divisor)
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{
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return div_u64(dividend + (divisor / 2), divisor);
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}
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/*
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* Try detecting repeating patterns by keeping track of the last 8
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* intervals, and checking if the standard deviation of that set
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* of points is below a threshold. If it is... then use the
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* average of these 8 points as the estimated value.
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*/
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static void detect_repeating_patterns(struct menu_device *data)
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{
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int i;
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uint64_t avg = 0;
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uint64_t stddev = 0; /* contains the square of the std deviation */
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/* first calculate average and standard deviation of the past */
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for (i = 0; i < INTERVALS; i++)
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avg += data->intervals[i];
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avg = avg / INTERVALS;
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/* if the avg is beyond the known next tick, it's worthless */
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if (avg > data->expected_us)
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return;
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for (i = 0; i < INTERVALS; i++)
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stddev += (data->intervals[i] - avg) *
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(data->intervals[i] - avg);
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stddev = stddev / INTERVALS;
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/*
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* now.. if stddev is small.. then assume we have a
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* repeating pattern and predict we keep doing this.
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*/
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if (avg && stddev < STDDEV_THRESH)
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data->predicted_us = avg;
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}
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/**
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* menu_select - selects the next idle state to enter
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* @dev: the CPU
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*/
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static int menu_select(struct cpuidle_device *dev)
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{
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struct menu_device *data = &__get_cpu_var(menu_devices);
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int latency_req = pm_qos_request(PM_QOS_CPU_DMA_LATENCY);
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unsigned int power_usage = -1;
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int i;
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int multiplier;
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if (data->needs_update) {
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menu_update(dev);
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data->needs_update = 0;
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}
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data->last_state_idx = 0;
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data->exit_us = 0;
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/* Special case when user has set very strict latency requirement */
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if (unlikely(latency_req == 0))
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return 0;
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/* determine the expected residency time, round up */
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data->expected_us =
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DIV_ROUND_UP((u32)ktime_to_ns(tick_nohz_get_sleep_length()), 1000);
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data->bucket = which_bucket(data->expected_us);
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multiplier = performance_multiplier();
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/*
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* if the correction factor is 0 (eg first time init or cpu hotplug
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* etc), we actually want to start out with a unity factor.
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*/
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if (data->correction_factor[data->bucket] == 0)
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data->correction_factor[data->bucket] = RESOLUTION * DECAY;
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/* Make sure to round up for half microseconds */
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data->predicted_us = div_round64(data->expected_us * data->correction_factor[data->bucket],
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RESOLUTION * DECAY);
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detect_repeating_patterns(data);
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/*
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* We want to default to C1 (hlt), not to busy polling
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* unless the timer is happening really really soon.
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*/
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if (data->expected_us > 5)
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data->last_state_idx = CPUIDLE_DRIVER_STATE_START;
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/*
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* Find the idle state with the lowest power while satisfying
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* our constraints.
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*/
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for (i = CPUIDLE_DRIVER_STATE_START; i < dev->state_count; i++) {
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struct cpuidle_state *s = &dev->states[i];
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if (s->flags & CPUIDLE_FLAG_IGNORE)
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continue;
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if (s->target_residency > data->predicted_us)
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continue;
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if (s->exit_latency > latency_req)
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continue;
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if (s->exit_latency * multiplier > data->predicted_us)
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continue;
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if (s->power_usage < power_usage) {
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power_usage = s->power_usage;
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data->last_state_idx = i;
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data->exit_us = s->exit_latency;
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}
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}
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return data->last_state_idx;
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}
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/**
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* menu_reflect - records that data structures need update
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* @dev: the CPU
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*
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* NOTE: it's important to be fast here because this operation will add to
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* the overall exit latency.
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*/
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static void menu_reflect(struct cpuidle_device *dev)
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{
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struct menu_device *data = &__get_cpu_var(menu_devices);
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data->needs_update = 1;
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}
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/**
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* menu_update - attempts to guess what happened after entry
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* @dev: the CPU
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*/
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static void menu_update(struct cpuidle_device *dev)
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{
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struct menu_device *data = &__get_cpu_var(menu_devices);
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int last_idx = data->last_state_idx;
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unsigned int last_idle_us = cpuidle_get_last_residency(dev);
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struct cpuidle_state *target = &dev->states[last_idx];
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unsigned int measured_us;
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u64 new_factor;
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/*
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* Ugh, this idle state doesn't support residency measurements, so we
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* are basically lost in the dark. As a compromise, assume we slept
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* for the whole expected time.
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*/
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if (unlikely(!(target->flags & CPUIDLE_FLAG_TIME_VALID)))
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last_idle_us = data->expected_us;
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measured_us = last_idle_us;
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/*
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* We correct for the exit latency; we are assuming here that the
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* exit latency happens after the event that we're interested in.
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*/
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if (measured_us > data->exit_us)
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measured_us -= data->exit_us;
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/* update our correction ratio */
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new_factor = data->correction_factor[data->bucket]
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* (DECAY - 1) / DECAY;
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if (data->expected_us > 0 && measured_us < MAX_INTERESTING)
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new_factor += RESOLUTION * measured_us / data->expected_us;
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else
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/*
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* we were idle so long that we count it as a perfect
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* prediction
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*/
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new_factor += RESOLUTION;
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/*
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* We don't want 0 as factor; we always want at least
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* a tiny bit of estimated time.
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*/
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if (new_factor == 0)
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new_factor = 1;
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data->correction_factor[data->bucket] = new_factor;
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/* update the repeating-pattern data */
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data->intervals[data->interval_ptr++] = last_idle_us;
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if (data->interval_ptr >= INTERVALS)
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data->interval_ptr = 0;
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}
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/**
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* menu_enable_device - scans a CPU's states and does setup
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* @dev: the CPU
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*/
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static int menu_enable_device(struct cpuidle_device *dev)
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{
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struct menu_device *data = &per_cpu(menu_devices, dev->cpu);
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memset(data, 0, sizeof(struct menu_device));
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return 0;
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}
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static struct cpuidle_governor menu_governor = {
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.name = "menu",
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.rating = 20,
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.enable = menu_enable_device,
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.select = menu_select,
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.reflect = menu_reflect,
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.owner = THIS_MODULE,
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};
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/**
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* init_menu - initializes the governor
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*/
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static int __init init_menu(void)
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{
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return cpuidle_register_governor(&menu_governor);
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}
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/**
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* exit_menu - exits the governor
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*/
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static void __exit exit_menu(void)
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{
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cpuidle_unregister_governor(&menu_governor);
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}
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MODULE_LICENSE("GPL");
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module_init(init_menu);
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module_exit(exit_menu);
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