| /* | |
| * menu.c - the menu idle governor | |
| * | |
| * Copyright (C) 2006-2007 Adam Belay <abelay@novell.com> | |
| * Copyright (C) 2009 Intel Corporation | |
| * Author: | |
| * Arjan van de Ven <arjan@linux.intel.com> | |
| * | |
| * This code is licenced under the GPL version 2 as described | |
| * in the COPYING file that acompanies the Linux Kernel. | |
| */ | |
| #include <linux/kernel.h> | |
| #include <linux/cpuidle.h> | |
| #include <linux/pm_qos.h> | |
| #include <linux/time.h> | |
| #include <linux/ktime.h> | |
| #include <linux/hrtimer.h> | |
| #include <linux/tick.h> | |
| #include <linux/sched.h> | |
| #include <linux/math64.h> | |
| #include <linux/module.h> | |
| /* | |
| * Please note when changing the tuning values: | |
| * If (MAX_INTERESTING-1) * RESOLUTION > UINT_MAX, the result of | |
| * a scaling operation multiplication may overflow on 32 bit platforms. | |
| * In that case, #define RESOLUTION as ULL to get 64 bit result: | |
| * #define RESOLUTION 1024ULL | |
| * | |
| * The default values do not overflow. | |
| */ | |
| #define BUCKETS 12 | |
| #define INTERVAL_SHIFT 3 | |
| #define INTERVALS (1UL << INTERVAL_SHIFT) | |
| #define RESOLUTION 1024 | |
| #define DECAY 8 | |
| #define MAX_INTERESTING 50000 | |
| /* | |
| * Concepts and ideas behind the menu governor | |
| * | |
| * For the menu governor, there are 3 decision factors for picking a C | |
| * state: | |
| * 1) Energy break even point | |
| * 2) Performance impact | |
| * 3) Latency tolerance (from pmqos infrastructure) | |
| * These these three factors are treated independently. | |
| * | |
| * Energy break even point | |
| * ----------------------- | |
| * C state entry and exit have an energy cost, and a certain amount of time in | |
| * the C state is required to actually break even on this cost. CPUIDLE | |
| * provides us this duration in the "target_residency" field. So all that we | |
| * need is a good prediction of how long we'll be idle. Like the traditional | |
| * menu governor, we start with the actual known "next timer event" time. | |
| * | |
| * Since there are other source of wakeups (interrupts for example) than | |
| * the next timer event, this estimation is rather optimistic. To get a | |
| * more realistic estimate, a correction factor is applied to the estimate, | |
| * that is based on historic behavior. For example, if in the past the actual | |
| * duration always was 50% of the next timer tick, the correction factor will | |
| * be 0.5. | |
| * | |
| * menu uses a running average for this correction factor, however it uses a | |
| * set of factors, not just a single factor. This stems from the realization | |
| * that the ratio is dependent on the order of magnitude of the expected | |
| * duration; if we expect 500 milliseconds of idle time the likelihood of | |
| * getting an interrupt very early is much higher than if we expect 50 micro | |
| * seconds of idle time. A second independent factor that has big impact on | |
| * the actual factor is if there is (disk) IO outstanding or not. | |
| * (as a special twist, we consider every sleep longer than 50 milliseconds | |
| * as perfect; there are no power gains for sleeping longer than this) | |
| * | |
| * For these two reasons we keep an array of 12 independent factors, that gets | |
| * indexed based on the magnitude of the expected duration as well as the | |
| * "is IO outstanding" property. | |
| * | |
| * Repeatable-interval-detector | |
| * ---------------------------- | |
| * There are some cases where "next timer" is a completely unusable predictor: | |
| * Those cases where the interval is fixed, for example due to hardware | |
| * interrupt mitigation, but also due to fixed transfer rate devices such as | |
| * mice. | |
| * For this, we use a different predictor: We track the duration of the last 8 | |
| * intervals and if the stand deviation of these 8 intervals is below a | |
| * threshold value, we use the average of these intervals as prediction. | |
| * | |
| * Limiting Performance Impact | |
| * --------------------------- | |
| * C states, especially those with large exit latencies, can have a real | |
| * noticeable impact on workloads, which is not acceptable for most sysadmins, | |
| * and in addition, less performance has a power price of its own. | |
| * | |
| * As a general rule of thumb, menu assumes that the following heuristic | |
| * holds: | |
| * The busier the system, the less impact of C states is acceptable | |
| * | |
| * This rule-of-thumb is implemented using a performance-multiplier: | |
| * If the exit latency times the performance multiplier is longer than | |
| * the predicted duration, the C state is not considered a candidate | |
| * for selection due to a too high performance impact. So the higher | |
| * this multiplier is, the longer we need to be idle to pick a deep C | |
| * state, and thus the less likely a busy CPU will hit such a deep | |
| * C state. | |
| * | |
| * Two factors are used in determing this multiplier: | |
| * a value of 10 is added for each point of "per cpu load average" we have. | |
| * a value of 5 points is added for each process that is waiting for | |
| * IO on this CPU. | |
| * (these values are experimentally determined) | |
| * | |
| * The load average factor gives a longer term (few seconds) input to the | |
| * decision, while the iowait value gives a cpu local instantanious input. | |
| * The iowait factor may look low, but realize that this is also already | |
| * represented in the system load average. | |
| * | |
| */ | |
| struct menu_device { | |
| int last_state_idx; | |
| int needs_update; | |
| unsigned int next_timer_us; | |
| unsigned int predicted_us; | |
| unsigned int bucket; | |
| unsigned int correction_factor[BUCKETS]; | |
| unsigned int intervals[INTERVALS]; | |
| int interval_ptr; | |
| }; | |
| #define LOAD_INT(x) ((x) >> FSHIFT) | |
| #define LOAD_FRAC(x) LOAD_INT(((x) & (FIXED_1-1)) * 100) | |
| static inline int get_loadavg(unsigned long load) | |
| { | |
| return LOAD_INT(load) * 10 + LOAD_FRAC(load) / 10; | |
| } | |
| static inline int which_bucket(unsigned int duration, unsigned long nr_iowaiters) | |
| { | |
| int bucket = 0; | |
| /* | |
| * We keep two groups of stats; one with no | |
| * IO pending, one without. | |
| * This allows us to calculate | |
| * E(duration)|iowait | |
| */ | |
| if (nr_iowaiters) | |
| bucket = BUCKETS/2; | |
| if (duration < 10) | |
| return bucket; | |
| if (duration < 100) | |
| return bucket + 1; | |
| if (duration < 1000) | |
| return bucket + 2; | |
| if (duration < 10000) | |
| return bucket + 3; | |
| if (duration < 100000) | |
| return bucket + 4; | |
| return bucket + 5; | |
| } | |
| /* | |
| * Return a multiplier for the exit latency that is intended | |
| * to take performance requirements into account. | |
| * The more performance critical we estimate the system | |
| * to be, the higher this multiplier, and thus the higher | |
| * the barrier to go to an expensive C state. | |
| */ | |
| static inline int performance_multiplier(unsigned long nr_iowaiters, unsigned long load) | |
| { | |
| int mult = 1; | |
| /* for higher loadavg, we are more reluctant */ | |
| mult += 2 * get_loadavg(load); | |
| /* for IO wait tasks (per cpu!) we add 5x each */ | |
| mult += 10 * nr_iowaiters; | |
| return mult; | |
| } | |
| static DEFINE_PER_CPU(struct menu_device, menu_devices); | |
| static void menu_update(struct cpuidle_driver *drv, struct cpuidle_device *dev); | |
| /* | |
| * Try detecting repeating patterns by keeping track of the last 8 | |
| * intervals, and checking if the standard deviation of that set | |
| * of points is below a threshold. If it is... then use the | |
| * average of these 8 points as the estimated value. | |
| */ | |
| static unsigned int get_typical_interval(struct menu_device *data) | |
| { | |
| int i, divisor; | |
| unsigned int max, thresh, avg; | |
| uint64_t sum, variance; | |
| thresh = UINT_MAX; /* Discard outliers above this value */ | |
| again: | |
| /* First calculate the average of past intervals */ | |
| max = 0; | |
| sum = 0; | |
| divisor = 0; | |
| for (i = 0; i < INTERVALS; i++) { | |
| unsigned int value = data->intervals[i]; | |
| if (value <= thresh) { | |
| sum += value; | |
| divisor++; | |
| if (value > max) | |
| max = value; | |
| } | |
| } | |
| if (divisor == INTERVALS) | |
| avg = sum >> INTERVAL_SHIFT; | |
| else | |
| avg = div_u64(sum, divisor); | |
| /* Then try to determine variance */ | |
| variance = 0; | |
| for (i = 0; i < INTERVALS; i++) { | |
| unsigned int value = data->intervals[i]; | |
| if (value <= thresh) { | |
| int64_t diff = (int64_t)value - avg; | |
| variance += diff * diff; | |
| } | |
| } | |
| if (divisor == INTERVALS) | |
| variance >>= INTERVAL_SHIFT; | |
| else | |
| do_div(variance, divisor); | |
| /* | |
| * The typical interval is obtained when standard deviation is | |
| * small (stddev <= 20 us, variance <= 400 us^2) or standard | |
| * deviation is small compared to the average interval (avg > | |
| * 6*stddev, avg^2 > 36*variance). The average is smaller than | |
| * UINT_MAX aka U32_MAX, so computing its square does not | |
| * overflow a u64. We simply reject this candidate average if | |
| * the standard deviation is greater than 715 s (which is | |
| * rather unlikely). | |
| * | |
| * Use this result only if there is no timer to wake us up sooner. | |
| */ | |
| if (likely(variance <= U64_MAX/36)) { | |
| if ((((u64)avg*avg > variance*36) && (divisor * 4 >= INTERVALS * 3)) | |
| || variance <= 400) { | |
| return avg; | |
| } | |
| } | |
| /* | |
| * If we have outliers to the upside in our distribution, discard | |
| * those by setting the threshold to exclude these outliers, then | |
| * calculate the average and standard deviation again. Once we get | |
| * down to the bottom 3/4 of our samples, stop excluding samples. | |
| * | |
| * This can deal with workloads that have long pauses interspersed | |
| * with sporadic activity with a bunch of short pauses. | |
| */ | |
| if ((divisor * 4) <= INTERVALS * 3) | |
| return UINT_MAX; | |
| thresh = max - 1; | |
| goto again; | |
| } | |
| /** | |
| * menu_select - selects the next idle state to enter | |
| * @drv: cpuidle driver containing state data | |
| * @dev: the CPU | |
| */ | |
| static int menu_select(struct cpuidle_driver *drv, struct cpuidle_device *dev) | |
| { | |
| struct menu_device *data = this_cpu_ptr(&menu_devices); | |
| int latency_req = pm_qos_request(PM_QOS_CPU_DMA_LATENCY); | |
| int i; | |
| unsigned int interactivity_req; | |
| unsigned int expected_interval; | |
| unsigned long nr_iowaiters, cpu_load; | |
| if (data->needs_update) { | |
| menu_update(drv, dev); | |
| data->needs_update = 0; | |
| } | |
| /* Special case when user has set very strict latency requirement */ | |
| if (unlikely(latency_req == 0)) | |
| return 0; | |
| /* determine the expected residency time, round up */ | |
| data->next_timer_us = ktime_to_us(tick_nohz_get_sleep_length()); | |
| get_iowait_load(&nr_iowaiters, &cpu_load); | |
| data->bucket = which_bucket(data->next_timer_us, nr_iowaiters); | |
| /* | |
| * Force the result of multiplication to be 64 bits even if both | |
| * operands are 32 bits. | |
| * Make sure to round up for half microseconds. | |
| */ | |
| data->predicted_us = DIV_ROUND_CLOSEST_ULL((uint64_t)data->next_timer_us * | |
| data->correction_factor[data->bucket], | |
| RESOLUTION * DECAY); | |
| expected_interval = get_typical_interval(data); | |
| expected_interval = min(expected_interval, data->next_timer_us); | |
| if (CPUIDLE_DRIVER_STATE_START > 0) { | |
| struct cpuidle_state *s = &drv->states[CPUIDLE_DRIVER_STATE_START]; | |
| unsigned int polling_threshold; | |
| /* | |
| * We want to default to C1 (hlt), not to busy polling | |
| * unless the timer is happening really really soon, or | |
| * C1's exit latency exceeds the user configured limit. | |
| */ | |
| polling_threshold = max_t(unsigned int, 20, s->target_residency); | |
| if (data->next_timer_us > polling_threshold && | |
| latency_req > s->exit_latency && !s->disabled && | |
| !dev->states_usage[CPUIDLE_DRIVER_STATE_START].disable) | |
| data->last_state_idx = CPUIDLE_DRIVER_STATE_START; | |
| else | |
| data->last_state_idx = CPUIDLE_DRIVER_STATE_START - 1; | |
| } else { | |
| data->last_state_idx = CPUIDLE_DRIVER_STATE_START; | |
| } | |
| /* | |
| * Use the lowest expected idle interval to pick the idle state. | |
| */ | |
| data->predicted_us = min(data->predicted_us, expected_interval); | |
| /* | |
| * Use the performance multiplier and the user-configurable | |
| * latency_req to determine the maximum exit latency. | |
| */ | |
| interactivity_req = data->predicted_us / performance_multiplier(nr_iowaiters, cpu_load); | |
| if (latency_req > interactivity_req) | |
| latency_req = interactivity_req; | |
| /* | |
| * Find the idle state with the lowest power while satisfying | |
| * our constraints. | |
| */ | |
| for (i = data->last_state_idx + 1; i < drv->state_count; i++) { | |
| struct cpuidle_state *s = &drv->states[i]; | |
| struct cpuidle_state_usage *su = &dev->states_usage[i]; | |
| if (s->disabled || su->disable) | |
| continue; | |
| if (s->target_residency > data->predicted_us) | |
| continue; | |
| if (s->exit_latency > latency_req) | |
| continue; | |
| data->last_state_idx = i; | |
| } | |
| return data->last_state_idx; | |
| } | |
| /** | |
| * menu_reflect - records that data structures need update | |
| * @dev: the CPU | |
| * @index: the index of actual entered state | |
| * | |
| * NOTE: it's important to be fast here because this operation will add to | |
| * the overall exit latency. | |
| */ | |
| static void menu_reflect(struct cpuidle_device *dev, int index) | |
| { | |
| struct menu_device *data = this_cpu_ptr(&menu_devices); | |
| data->last_state_idx = index; | |
| data->needs_update = 1; | |
| } | |
| /** | |
| * menu_update - attempts to guess what happened after entry | |
| * @drv: cpuidle driver containing state data | |
| * @dev: the CPU | |
| */ | |
| static void menu_update(struct cpuidle_driver *drv, struct cpuidle_device *dev) | |
| { | |
| struct menu_device *data = this_cpu_ptr(&menu_devices); | |
| int last_idx = data->last_state_idx; | |
| struct cpuidle_state *target = &drv->states[last_idx]; | |
| unsigned int measured_us; | |
| unsigned int new_factor; | |
| /* | |
| * Try to figure out how much time passed between entry to low | |
| * power state and occurrence of the wakeup event. | |
| * | |
| * If the entered idle state didn't support residency measurements, | |
| * we use them anyway if they are short, and if long, | |
| * truncate to the whole expected time. | |
| * | |
| * Any measured amount of time will include the exit latency. | |
| * Since we are interested in when the wakeup begun, not when it | |
| * was completed, we must subtract the exit latency. However, if | |
| * the measured amount of time is less than the exit latency, | |
| * assume the state was never reached and the exit latency is 0. | |
| */ | |
| /* measured value */ | |
| measured_us = cpuidle_get_last_residency(dev); | |
| /* Deduct exit latency */ | |
| if (measured_us > 2 * target->exit_latency) | |
| measured_us -= target->exit_latency; | |
| else | |
| measured_us /= 2; | |
| /* Make sure our coefficients do not exceed unity */ | |
| if (measured_us > data->next_timer_us) | |
| measured_us = data->next_timer_us; | |
| /* Update our correction ratio */ | |
| new_factor = data->correction_factor[data->bucket]; | |
| new_factor -= new_factor / DECAY; | |
| if (data->next_timer_us > 0 && measured_us < MAX_INTERESTING) | |
| new_factor += RESOLUTION * measured_us / data->next_timer_us; | |
| else | |
| /* | |
| * we were idle so long that we count it as a perfect | |
| * prediction | |
| */ | |
| new_factor += RESOLUTION; | |
| /* | |
| * We don't want 0 as factor; we always want at least | |
| * a tiny bit of estimated time. Fortunately, due to rounding, | |
| * new_factor will stay nonzero regardless of measured_us values | |
| * and the compiler can eliminate this test as long as DECAY > 1. | |
| */ | |
| if (DECAY == 1 && unlikely(new_factor == 0)) | |
| new_factor = 1; | |
| data->correction_factor[data->bucket] = new_factor; | |
| /* update the repeating-pattern data */ | |
| data->intervals[data->interval_ptr++] = measured_us; | |
| if (data->interval_ptr >= INTERVALS) | |
| data->interval_ptr = 0; | |
| } | |
| /** | |
| * menu_enable_device - scans a CPU's states and does setup | |
| * @drv: cpuidle driver | |
| * @dev: the CPU | |
| */ | |
| static int menu_enable_device(struct cpuidle_driver *drv, | |
| struct cpuidle_device *dev) | |
| { | |
| struct menu_device *data = &per_cpu(menu_devices, dev->cpu); | |
| int i; | |
| memset(data, 0, sizeof(struct menu_device)); | |
| /* | |
| * if the correction factor is 0 (eg first time init or cpu hotplug | |
| * etc), we actually want to start out with a unity factor. | |
| */ | |
| for(i = 0; i < BUCKETS; i++) | |
| data->correction_factor[i] = RESOLUTION * DECAY; | |
| return 0; | |
| } | |
| static struct cpuidle_governor menu_governor = { | |
| .name = "menu", | |
| .rating = 20, | |
| .enable = menu_enable_device, | |
| .select = menu_select, | |
| .reflect = menu_reflect, | |
| .owner = THIS_MODULE, | |
| }; | |
| /** | |
| * init_menu - initializes the governor | |
| */ | |
| static int __init init_menu(void) | |
| { | |
| return cpuidle_register_governor(&menu_governor); | |
| } | |
| postcore_initcall(init_menu); |