mtd: Use kasprintf() instead of fixed buffer formatting
[linux/fpc-iii.git] / kernel / irq / timings.c
blob1e4cb63a5c822998ffa89644cdc57ca6291252f5
1 // SPDX-License-Identifier: GPL-2.0
2 // Copyright (C) 2016, Linaro Ltd - Daniel Lezcano <daniel.lezcano@linaro.org>
4 #include <linux/kernel.h>
5 #include <linux/percpu.h>
6 #include <linux/slab.h>
7 #include <linux/static_key.h>
8 #include <linux/interrupt.h>
9 #include <linux/idr.h>
10 #include <linux/irq.h>
11 #include <linux/math64.h>
13 #include <trace/events/irq.h>
15 #include "internals.h"
17 DEFINE_STATIC_KEY_FALSE(irq_timing_enabled);
19 DEFINE_PER_CPU(struct irq_timings, irq_timings);
21 struct irqt_stat {
22 u64 next_evt;
23 u64 last_ts;
24 u64 variance;
25 u32 avg;
26 u32 nr_samples;
27 int anomalies;
28 int valid;
31 static DEFINE_IDR(irqt_stats);
33 void irq_timings_enable(void)
35 static_branch_enable(&irq_timing_enabled);
38 void irq_timings_disable(void)
40 static_branch_disable(&irq_timing_enabled);
43 /**
44 * irqs_update - update the irq timing statistics with a new timestamp
46 * @irqs: an irqt_stat struct pointer
47 * @ts: the new timestamp
49 * The statistics are computed online, in other words, the code is
50 * designed to compute the statistics on a stream of values rather
51 * than doing multiple passes on the values to compute the average,
52 * then the variance. The integer division introduces a loss of
53 * precision but with an acceptable error margin regarding the results
54 * we would have with the double floating precision: we are dealing
55 * with nanosec, so big numbers, consequently the mantisse is
56 * negligeable, especially when converting the time in usec
57 * afterwards.
59 * The computation happens at idle time. When the CPU is not idle, the
60 * interrupts' timestamps are stored in the circular buffer, when the
61 * CPU goes idle and this routine is called, all the buffer's values
62 * are injected in the statistical model continuying to extend the
63 * statistics from the previous busy-idle cycle.
65 * The observations showed a device will trigger a burst of periodic
66 * interrupts followed by one or two peaks of longer time, for
67 * instance when a SD card device flushes its cache, then the periodic
68 * intervals occur again. A one second inactivity period resets the
69 * stats, that gives us the certitude the statistical values won't
70 * exceed 1x10^9, thus the computation won't overflow.
72 * Basically, the purpose of the algorithm is to watch the periodic
73 * interrupts and eliminate the peaks.
75 * An interrupt is considered periodically stable if the interval of
76 * its occurences follow the normal distribution, thus the values
77 * comply with:
79 * avg - 3 x stddev < value < avg + 3 x stddev
81 * Which can be simplified to:
83 * -3 x stddev < value - avg < 3 x stddev
85 * abs(value - avg) < 3 x stddev
87 * In order to save a costly square root computation, we use the
88 * variance. For the record, stddev = sqrt(variance). The equation
89 * above becomes:
91 * abs(value - avg) < 3 x sqrt(variance)
93 * And finally we square it:
95 * (value - avg) ^ 2 < (3 x sqrt(variance)) ^ 2
97 * (value - avg) x (value - avg) < 9 x variance
99 * Statistically speaking, any values out of this interval is
100 * considered as an anomaly and is discarded. However, a normal
101 * distribution appears when the number of samples is 30 (it is the
102 * rule of thumb in statistics, cf. "30 samples" on Internet). When
103 * there are three consecutive anomalies, the statistics are resetted.
106 static void irqs_update(struct irqt_stat *irqs, u64 ts)
108 u64 old_ts = irqs->last_ts;
109 u64 variance = 0;
110 u64 interval;
111 s64 diff;
114 * The timestamps are absolute time values, we need to compute
115 * the timing interval between two interrupts.
117 irqs->last_ts = ts;
120 * The interval type is u64 in order to deal with the same
121 * type in our computation, that prevent mindfuck issues with
122 * overflow, sign and division.
124 interval = ts - old_ts;
127 * The interrupt triggered more than one second apart, that
128 * ends the sequence as predictible for our purpose. In this
129 * case, assume we have the beginning of a sequence and the
130 * timestamp is the first value. As it is impossible to
131 * predict anything at this point, return.
133 * Note the first timestamp of the sequence will always fall
134 * in this test because the old_ts is zero. That is what we
135 * want as we need another timestamp to compute an interval.
137 if (interval >= NSEC_PER_SEC) {
138 memset(irqs, 0, sizeof(*irqs));
139 irqs->last_ts = ts;
140 return;
144 * Pre-compute the delta with the average as the result is
145 * used several times in this function.
147 diff = interval - irqs->avg;
150 * Increment the number of samples.
152 irqs->nr_samples++;
155 * Online variance divided by the number of elements if there
156 * is more than one sample. Normally the formula is division
157 * by nr_samples - 1 but we assume the number of element will be
158 * more than 32 and dividing by 32 instead of 31 is enough
159 * precise.
161 if (likely(irqs->nr_samples > 1))
162 variance = irqs->variance >> IRQ_TIMINGS_SHIFT;
165 * The rule of thumb in statistics for the normal distribution
166 * is having at least 30 samples in order to have the model to
167 * apply. Values outside the interval are considered as an
168 * anomaly.
170 if ((irqs->nr_samples >= 30) && ((diff * diff) > (9 * variance))) {
172 * After three consecutive anomalies, we reset the
173 * stats as it is no longer stable enough.
175 if (irqs->anomalies++ >= 3) {
176 memset(irqs, 0, sizeof(*irqs));
177 irqs->last_ts = ts;
178 return;
180 } else {
182 * The anomalies must be consecutives, so at this
183 * point, we reset the anomalies counter.
185 irqs->anomalies = 0;
189 * The interrupt is considered stable enough to try to predict
190 * the next event on it.
192 irqs->valid = 1;
195 * Online average algorithm:
197 * new_average = average + ((value - average) / count)
199 * The variance computation depends on the new average
200 * to be computed here first.
203 irqs->avg = irqs->avg + (diff >> IRQ_TIMINGS_SHIFT);
206 * Online variance algorithm:
208 * new_variance = variance + (value - average) x (value - new_average)
210 * Warning: irqs->avg is updated with the line above, hence
211 * 'interval - irqs->avg' is no longer equal to 'diff'
213 irqs->variance = irqs->variance + (diff * (interval - irqs->avg));
216 * Update the next event
218 irqs->next_evt = ts + irqs->avg;
222 * irq_timings_next_event - Return when the next event is supposed to arrive
224 * During the last busy cycle, the number of interrupts is incremented
225 * and stored in the irq_timings structure. This information is
226 * necessary to:
228 * - know if the index in the table wrapped up:
230 * If more than the array size interrupts happened during the
231 * last busy/idle cycle, the index wrapped up and we have to
232 * begin with the next element in the array which is the last one
233 * in the sequence, otherwise it is a the index 0.
235 * - have an indication of the interrupts activity on this CPU
236 * (eg. irq/sec)
238 * The values are 'consumed' after inserting in the statistical model,
239 * thus the count is reinitialized.
241 * The array of values **must** be browsed in the time direction, the
242 * timestamp must increase between an element and the next one.
244 * Returns a nanosec time based estimation of the earliest interrupt,
245 * U64_MAX otherwise.
247 u64 irq_timings_next_event(u64 now)
249 struct irq_timings *irqts = this_cpu_ptr(&irq_timings);
250 struct irqt_stat *irqs;
251 struct irqt_stat __percpu *s;
252 u64 ts, next_evt = U64_MAX;
253 int i, irq = 0;
256 * This function must be called with the local irq disabled in
257 * order to prevent the timings circular buffer to be updated
258 * while we are reading it.
260 lockdep_assert_irqs_disabled();
263 * Number of elements in the circular buffer: If it happens it
264 * was flushed before, then the number of elements could be
265 * smaller than IRQ_TIMINGS_SIZE, so the count is used,
266 * otherwise the array size is used as we wrapped. The index
267 * begins from zero when we did not wrap. That could be done
268 * in a nicer way with the proper circular array structure
269 * type but with the cost of extra computation in the
270 * interrupt handler hot path. We choose efficiency.
272 * Inject measured irq/timestamp to the statistical model
273 * while decrementing the counter because we consume the data
274 * from our circular buffer.
276 for (i = irqts->count & IRQ_TIMINGS_MASK,
277 irqts->count = min(IRQ_TIMINGS_SIZE, irqts->count);
278 irqts->count > 0; irqts->count--, i = (i + 1) & IRQ_TIMINGS_MASK) {
280 irq = irq_timing_decode(irqts->values[i], &ts);
282 s = idr_find(&irqt_stats, irq);
283 if (s) {
284 irqs = this_cpu_ptr(s);
285 irqs_update(irqs, ts);
290 * Look in the list of interrupts' statistics, the earliest
291 * next event.
293 idr_for_each_entry(&irqt_stats, s, i) {
295 irqs = this_cpu_ptr(s);
297 if (!irqs->valid)
298 continue;
300 if (irqs->next_evt <= now) {
301 irq = i;
302 next_evt = now;
305 * This interrupt mustn't use in the future
306 * until new events occur and update the
307 * statistics.
309 irqs->valid = 0;
310 break;
313 if (irqs->next_evt < next_evt) {
314 irq = i;
315 next_evt = irqs->next_evt;
319 return next_evt;
322 void irq_timings_free(int irq)
324 struct irqt_stat __percpu *s;
326 s = idr_find(&irqt_stats, irq);
327 if (s) {
328 free_percpu(s);
329 idr_remove(&irqt_stats, irq);
333 int irq_timings_alloc(int irq)
335 struct irqt_stat __percpu *s;
336 int id;
339 * Some platforms can have the same private interrupt per cpu,
340 * so this function may be be called several times with the
341 * same interrupt number. Just bail out in case the per cpu
342 * stat structure is already allocated.
344 s = idr_find(&irqt_stats, irq);
345 if (s)
346 return 0;
348 s = alloc_percpu(*s);
349 if (!s)
350 return -ENOMEM;
352 idr_preload(GFP_KERNEL);
353 id = idr_alloc(&irqt_stats, s, irq, irq + 1, GFP_NOWAIT);
354 idr_preload_end();
356 if (id < 0) {
357 free_percpu(s);
358 return id;
361 return 0;