Merge branch 'fixes' of git://git.kernel.org/pub/scm/linux/kernel/git/evalenti/linux...
[linux/fpc-iii.git] / drivers / cpuidle / governors / menu.c
blob03d38c291de62d7f6503f13855142fb5948b64a0
1 /*
2 * menu.c - the menu idle governor
4 * Copyright (C) 2006-2007 Adam Belay <abelay@novell.com>
5 * Copyright (C) 2009 Intel Corporation
6 * Author:
7 * Arjan van de Ven <arjan@linux.intel.com>
9 * This code is licenced under the GPL version 2 as described
10 * in the COPYING file that acompanies the Linux Kernel.
13 #include <linux/kernel.h>
14 #include <linux/cpuidle.h>
15 #include <linux/pm_qos.h>
16 #include <linux/time.h>
17 #include <linux/ktime.h>
18 #include <linux/hrtimer.h>
19 #include <linux/tick.h>
20 #include <linux/sched.h>
21 #include <linux/math64.h>
22 #include <linux/module.h>
25 * Please note when changing the tuning values:
26 * If (MAX_INTERESTING-1) * RESOLUTION > UINT_MAX, the result of
27 * a scaling operation multiplication may overflow on 32 bit platforms.
28 * In that case, #define RESOLUTION as ULL to get 64 bit result:
29 * #define RESOLUTION 1024ULL
31 * The default values do not overflow.
33 #define BUCKETS 12
34 #define INTERVAL_SHIFT 3
35 #define INTERVALS (1UL << INTERVAL_SHIFT)
36 #define RESOLUTION 1024
37 #define DECAY 8
38 #define MAX_INTERESTING 50000
42 * Concepts and ideas behind the menu governor
44 * For the menu governor, there are 3 decision factors for picking a C
45 * state:
46 * 1) Energy break even point
47 * 2) Performance impact
48 * 3) Latency tolerance (from pmqos infrastructure)
49 * These these three factors are treated independently.
51 * Energy break even point
52 * -----------------------
53 * C state entry and exit have an energy cost, and a certain amount of time in
54 * the C state is required to actually break even on this cost. CPUIDLE
55 * provides us this duration in the "target_residency" field. So all that we
56 * need is a good prediction of how long we'll be idle. Like the traditional
57 * menu governor, we start with the actual known "next timer event" time.
59 * Since there are other source of wakeups (interrupts for example) than
60 * the next timer event, this estimation is rather optimistic. To get a
61 * more realistic estimate, a correction factor is applied to the estimate,
62 * that is based on historic behavior. For example, if in the past the actual
63 * duration always was 50% of the next timer tick, the correction factor will
64 * be 0.5.
66 * menu uses a running average for this correction factor, however it uses a
67 * set of factors, not just a single factor. This stems from the realization
68 * that the ratio is dependent on the order of magnitude of the expected
69 * duration; if we expect 500 milliseconds of idle time the likelihood of
70 * getting an interrupt very early is much higher than if we expect 50 micro
71 * seconds of idle time. A second independent factor that has big impact on
72 * the actual factor is if there is (disk) IO outstanding or not.
73 * (as a special twist, we consider every sleep longer than 50 milliseconds
74 * as perfect; there are no power gains for sleeping longer than this)
76 * For these two reasons we keep an array of 12 independent factors, that gets
77 * indexed based on the magnitude of the expected duration as well as the
78 * "is IO outstanding" property.
80 * Repeatable-interval-detector
81 * ----------------------------
82 * There are some cases where "next timer" is a completely unusable predictor:
83 * Those cases where the interval is fixed, for example due to hardware
84 * interrupt mitigation, but also due to fixed transfer rate devices such as
85 * mice.
86 * For this, we use a different predictor: We track the duration of the last 8
87 * intervals and if the stand deviation of these 8 intervals is below a
88 * threshold value, we use the average of these intervals as prediction.
90 * Limiting Performance Impact
91 * ---------------------------
92 * C states, especially those with large exit latencies, can have a real
93 * noticeable impact on workloads, which is not acceptable for most sysadmins,
94 * and in addition, less performance has a power price of its own.
96 * As a general rule of thumb, menu assumes that the following heuristic
97 * holds:
98 * The busier the system, the less impact of C states is acceptable
100 * This rule-of-thumb is implemented using a performance-multiplier:
101 * If the exit latency times the performance multiplier is longer than
102 * the predicted duration, the C state is not considered a candidate
103 * for selection due to a too high performance impact. So the higher
104 * this multiplier is, the longer we need to be idle to pick a deep C
105 * state, and thus the less likely a busy CPU will hit such a deep
106 * C state.
108 * Two factors are used in determing this multiplier:
109 * a value of 10 is added for each point of "per cpu load average" we have.
110 * a value of 5 points is added for each process that is waiting for
111 * IO on this CPU.
112 * (these values are experimentally determined)
114 * The load average factor gives a longer term (few seconds) input to the
115 * decision, while the iowait value gives a cpu local instantanious input.
116 * The iowait factor may look low, but realize that this is also already
117 * represented in the system load average.
121 struct menu_device {
122 int last_state_idx;
123 int needs_update;
125 unsigned int next_timer_us;
126 unsigned int predicted_us;
127 unsigned int bucket;
128 unsigned int correction_factor[BUCKETS];
129 unsigned int intervals[INTERVALS];
130 int interval_ptr;
134 #define LOAD_INT(x) ((x) >> FSHIFT)
135 #define LOAD_FRAC(x) LOAD_INT(((x) & (FIXED_1-1)) * 100)
137 static inline int get_loadavg(unsigned long load)
139 return LOAD_INT(load) * 10 + LOAD_FRAC(load) / 10;
142 static inline int which_bucket(unsigned int duration, unsigned long nr_iowaiters)
144 int bucket = 0;
147 * We keep two groups of stats; one with no
148 * IO pending, one without.
149 * This allows us to calculate
150 * E(duration)|iowait
152 if (nr_iowaiters)
153 bucket = BUCKETS/2;
155 if (duration < 10)
156 return bucket;
157 if (duration < 100)
158 return bucket + 1;
159 if (duration < 1000)
160 return bucket + 2;
161 if (duration < 10000)
162 return bucket + 3;
163 if (duration < 100000)
164 return bucket + 4;
165 return bucket + 5;
169 * Return a multiplier for the exit latency that is intended
170 * to take performance requirements into account.
171 * The more performance critical we estimate the system
172 * to be, the higher this multiplier, and thus the higher
173 * the barrier to go to an expensive C state.
175 static inline int performance_multiplier(unsigned long nr_iowaiters, unsigned long load)
177 int mult = 1;
179 /* for higher loadavg, we are more reluctant */
181 mult += 2 * get_loadavg(load);
183 /* for IO wait tasks (per cpu!) we add 5x each */
184 mult += 10 * nr_iowaiters;
186 return mult;
189 static DEFINE_PER_CPU(struct menu_device, menu_devices);
191 static void menu_update(struct cpuidle_driver *drv, struct cpuidle_device *dev);
194 * Try detecting repeating patterns by keeping track of the last 8
195 * intervals, and checking if the standard deviation of that set
196 * of points is below a threshold. If it is... then use the
197 * average of these 8 points as the estimated value.
199 static unsigned int get_typical_interval(struct menu_device *data)
201 int i, divisor;
202 unsigned int max, thresh, avg;
203 uint64_t sum, variance;
205 thresh = UINT_MAX; /* Discard outliers above this value */
207 again:
209 /* First calculate the average of past intervals */
210 max = 0;
211 sum = 0;
212 divisor = 0;
213 for (i = 0; i < INTERVALS; i++) {
214 unsigned int value = data->intervals[i];
215 if (value <= thresh) {
216 sum += value;
217 divisor++;
218 if (value > max)
219 max = value;
222 if (divisor == INTERVALS)
223 avg = sum >> INTERVAL_SHIFT;
224 else
225 avg = div_u64(sum, divisor);
227 /* Then try to determine variance */
228 variance = 0;
229 for (i = 0; i < INTERVALS; i++) {
230 unsigned int value = data->intervals[i];
231 if (value <= thresh) {
232 int64_t diff = (int64_t)value - avg;
233 variance += diff * diff;
236 if (divisor == INTERVALS)
237 variance >>= INTERVAL_SHIFT;
238 else
239 do_div(variance, divisor);
242 * The typical interval is obtained when standard deviation is
243 * small (stddev <= 20 us, variance <= 400 us^2) or standard
244 * deviation is small compared to the average interval (avg >
245 * 6*stddev, avg^2 > 36*variance). The average is smaller than
246 * UINT_MAX aka U32_MAX, so computing its square does not
247 * overflow a u64. We simply reject this candidate average if
248 * the standard deviation is greater than 715 s (which is
249 * rather unlikely).
251 * Use this result only if there is no timer to wake us up sooner.
253 if (likely(variance <= U64_MAX/36)) {
254 if ((((u64)avg*avg > variance*36) && (divisor * 4 >= INTERVALS * 3))
255 || variance <= 400) {
256 return avg;
261 * If we have outliers to the upside in our distribution, discard
262 * those by setting the threshold to exclude these outliers, then
263 * calculate the average and standard deviation again. Once we get
264 * down to the bottom 3/4 of our samples, stop excluding samples.
266 * This can deal with workloads that have long pauses interspersed
267 * with sporadic activity with a bunch of short pauses.
269 if ((divisor * 4) <= INTERVALS * 3)
270 return UINT_MAX;
272 thresh = max - 1;
273 goto again;
277 * menu_select - selects the next idle state to enter
278 * @drv: cpuidle driver containing state data
279 * @dev: the CPU
281 static int menu_select(struct cpuidle_driver *drv, struct cpuidle_device *dev)
283 struct menu_device *data = this_cpu_ptr(&menu_devices);
284 int latency_req = pm_qos_request(PM_QOS_CPU_DMA_LATENCY);
285 int i;
286 unsigned int interactivity_req;
287 unsigned int expected_interval;
288 unsigned long nr_iowaiters, cpu_load;
290 if (data->needs_update) {
291 menu_update(drv, dev);
292 data->needs_update = 0;
295 /* Special case when user has set very strict latency requirement */
296 if (unlikely(latency_req == 0))
297 return 0;
299 /* determine the expected residency time, round up */
300 data->next_timer_us = ktime_to_us(tick_nohz_get_sleep_length());
302 get_iowait_load(&nr_iowaiters, &cpu_load);
303 data->bucket = which_bucket(data->next_timer_us, nr_iowaiters);
306 * Force the result of multiplication to be 64 bits even if both
307 * operands are 32 bits.
308 * Make sure to round up for half microseconds.
310 data->predicted_us = DIV_ROUND_CLOSEST_ULL((uint64_t)data->next_timer_us *
311 data->correction_factor[data->bucket],
312 RESOLUTION * DECAY);
314 expected_interval = get_typical_interval(data);
315 expected_interval = min(expected_interval, data->next_timer_us);
317 if (CPUIDLE_DRIVER_STATE_START > 0) {
318 struct cpuidle_state *s = &drv->states[CPUIDLE_DRIVER_STATE_START];
319 unsigned int polling_threshold;
322 * We want to default to C1 (hlt), not to busy polling
323 * unless the timer is happening really really soon, or
324 * C1's exit latency exceeds the user configured limit.
326 polling_threshold = max_t(unsigned int, 20, s->target_residency);
327 if (data->next_timer_us > polling_threshold &&
328 latency_req > s->exit_latency && !s->disabled &&
329 !dev->states_usage[CPUIDLE_DRIVER_STATE_START].disable)
330 data->last_state_idx = CPUIDLE_DRIVER_STATE_START;
331 else
332 data->last_state_idx = CPUIDLE_DRIVER_STATE_START - 1;
333 } else {
334 data->last_state_idx = CPUIDLE_DRIVER_STATE_START;
338 * Use the lowest expected idle interval to pick the idle state.
340 data->predicted_us = min(data->predicted_us, expected_interval);
343 * Use the performance multiplier and the user-configurable
344 * latency_req to determine the maximum exit latency.
346 interactivity_req = data->predicted_us / performance_multiplier(nr_iowaiters, cpu_load);
347 if (latency_req > interactivity_req)
348 latency_req = interactivity_req;
351 * Find the idle state with the lowest power while satisfying
352 * our constraints.
354 for (i = data->last_state_idx + 1; i < drv->state_count; i++) {
355 struct cpuidle_state *s = &drv->states[i];
356 struct cpuidle_state_usage *su = &dev->states_usage[i];
358 if (s->disabled || su->disable)
359 continue;
360 if (s->target_residency > data->predicted_us)
361 continue;
362 if (s->exit_latency > latency_req)
363 continue;
365 data->last_state_idx = i;
368 return data->last_state_idx;
372 * menu_reflect - records that data structures need update
373 * @dev: the CPU
374 * @index: the index of actual entered state
376 * NOTE: it's important to be fast here because this operation will add to
377 * the overall exit latency.
379 static void menu_reflect(struct cpuidle_device *dev, int index)
381 struct menu_device *data = this_cpu_ptr(&menu_devices);
383 data->last_state_idx = index;
384 data->needs_update = 1;
388 * menu_update - attempts to guess what happened after entry
389 * @drv: cpuidle driver containing state data
390 * @dev: the CPU
392 static void menu_update(struct cpuidle_driver *drv, struct cpuidle_device *dev)
394 struct menu_device *data = this_cpu_ptr(&menu_devices);
395 int last_idx = data->last_state_idx;
396 struct cpuidle_state *target = &drv->states[last_idx];
397 unsigned int measured_us;
398 unsigned int new_factor;
401 * Try to figure out how much time passed between entry to low
402 * power state and occurrence of the wakeup event.
404 * If the entered idle state didn't support residency measurements,
405 * we use them anyway if they are short, and if long,
406 * truncate to the whole expected time.
408 * Any measured amount of time will include the exit latency.
409 * Since we are interested in when the wakeup begun, not when it
410 * was completed, we must subtract the exit latency. However, if
411 * the measured amount of time is less than the exit latency,
412 * assume the state was never reached and the exit latency is 0.
415 /* measured value */
416 measured_us = cpuidle_get_last_residency(dev);
418 /* Deduct exit latency */
419 if (measured_us > 2 * target->exit_latency)
420 measured_us -= target->exit_latency;
421 else
422 measured_us /= 2;
424 /* Make sure our coefficients do not exceed unity */
425 if (measured_us > data->next_timer_us)
426 measured_us = data->next_timer_us;
428 /* Update our correction ratio */
429 new_factor = data->correction_factor[data->bucket];
430 new_factor -= new_factor / DECAY;
432 if (data->next_timer_us > 0 && measured_us < MAX_INTERESTING)
433 new_factor += RESOLUTION * measured_us / data->next_timer_us;
434 else
436 * we were idle so long that we count it as a perfect
437 * prediction
439 new_factor += RESOLUTION;
442 * We don't want 0 as factor; we always want at least
443 * a tiny bit of estimated time. Fortunately, due to rounding,
444 * new_factor will stay nonzero regardless of measured_us values
445 * and the compiler can eliminate this test as long as DECAY > 1.
447 if (DECAY == 1 && unlikely(new_factor == 0))
448 new_factor = 1;
450 data->correction_factor[data->bucket] = new_factor;
452 /* update the repeating-pattern data */
453 data->intervals[data->interval_ptr++] = measured_us;
454 if (data->interval_ptr >= INTERVALS)
455 data->interval_ptr = 0;
459 * menu_enable_device - scans a CPU's states and does setup
460 * @drv: cpuidle driver
461 * @dev: the CPU
463 static int menu_enable_device(struct cpuidle_driver *drv,
464 struct cpuidle_device *dev)
466 struct menu_device *data = &per_cpu(menu_devices, dev->cpu);
467 int i;
469 memset(data, 0, sizeof(struct menu_device));
472 * if the correction factor is 0 (eg first time init or cpu hotplug
473 * etc), we actually want to start out with a unity factor.
475 for(i = 0; i < BUCKETS; i++)
476 data->correction_factor[i] = RESOLUTION * DECAY;
478 return 0;
481 static struct cpuidle_governor menu_governor = {
482 .name = "menu",
483 .rating = 20,
484 .enable = menu_enable_device,
485 .select = menu_select,
486 .reflect = menu_reflect,
487 .owner = THIS_MODULE,
491 * init_menu - initializes the governor
493 static int __init init_menu(void)
495 return cpuidle_register_governor(&menu_governor);
498 postcore_initcall(init_menu);