// SPDX-License-Identifier: GPL-2.0
// Copyright (C) 2016, Linaro Ltd - Daniel Lezcano <daniel.lezcano@linaro.org>
#define pr_fmt(fmt) "irq_timings: " fmt
#include <linux/kernel.h>
#include <linux/percpu.h>
#include <linux/slab.h>
#include <linux/static_key.h>
#include <linux/init.h>
#include <linux/interrupt.h>
#include <linux/idr.h>
#include <linux/irq.h>
#include <linux/math64.h>
#include <linux/log2.h>
#include <trace/events/irq.h>
#include "internals.h"
DEFINE_STATIC_KEY_FALSE(irq_timing_enabled);
DEFINE_PER_CPU(struct irq_timings, irq_timings);
static DEFINE_IDR(irqt_stats);
void irq_timings_enable(void )
{
static_branch_enable(&irq_timing_enabled);
}
void irq_timings_disable(void )
{
static_branch_disable(&irq_timing_enabled);
}
/*
* The main goal of this algorithm is to predict the next interrupt
* occurrence on the current CPU .
*
* Currently , the interrupt timings are stored in a circular array
* buffer every time there is an interrupt , as a tuple : the interrupt
* number and the associated timestamp when the event occurred < irq ,
* timestamp > .
*
* For every interrupt occurring in a short period of time , we can
* measure the elapsed time between the occurrences for the same
* interrupt and we end up with a suite of intervals . The experience
* showed the interrupts are often coming following a periodic
* pattern .
*
* The objective of the algorithm is to find out this periodic pattern
* in a fastest way and use its period to predict the next irq event .
*
* When the next interrupt event is requested , we are in the situation
* where the interrupts are disabled and the circular buffer
* containing the timings is filled with the events which happened
* after the previous next - interrupt - event request .
*
* At this point , we read the circular buffer and we fill the irq
* related statistics structure . After this step , the circular array
* containing the timings is empty because all the values are
* dispatched in their corresponding buffers .
*
* Now for each interrupt , we can predict the next event by using the
* suffix array , log interval and exponential moving average
*
* 1 . Suffix array
*
* Suffix array is an array of all the suffixes of a string . It is
* widely used as a data structure for compression , text search , . . .
* For instance for the word ' banana ' , the suffixes will be : ' banana '
* ' anana ' ' nana ' ' ana ' ' na ' ' a '
*
* Usually , the suffix array is sorted but for our purpose it is
* not necessary and won ' t provide any improvement in the context of
* the solved problem where we clearly define the boundaries of the
* search by a max period and min period .
*
* The suffix array will build a suite of intervals of different
* length and will look for the repetition of each suite . If the suite
* is repeating then we have the period because it is the length of
* the suite whatever its position in the buffer .
*
* 2 . Log interval
*
* We saw the irq timings allow to compute the interval of the
* occurrences for a specific interrupt . We can reasonably assume the
* longer is the interval , the higher is the error for the next event
* and we can consider storing those interval values into an array
* where each slot in the array correspond to an interval at the power
* of 2 of the index . For example , index 12 will contain values
* between 2 ^ 11 and 2 ^ 12 .
*
* At the end we have an array of values where at each index defines a
* [ 2 ^ index - 1 , 2 ^ index ] interval values allowing to store a large
* number of values inside a small array .
*
* For example , if we have the value 1123 , then we store it at
* ilog2 ( 1123 ) = 10 index value .
*
* Storing those value at the specific index is done by computing an
* exponential moving average for this specific slot . For instance ,
* for values 1800 , 1123 , 1453 , . . . fall under the same slot ( 10 ) and
* the exponential moving average is computed every time a new value
* is stored at this slot .
*
* 3 . Exponential Moving Average
*
* The EMA is largely used to track a signal for stocks or as a low
* pass filter . The magic of the formula , is it is very simple and the
* reactivity of the average can be tuned with the factors called
* alpha .
*
* The higher the alphas are , the faster the average respond to the
* signal change . In our case , if a slot in the array is a big
* interval , we can have numbers with a big difference between
* them . The impact of those differences in the average computation
* can be tuned by changing the alpha value .
*
*
* - - The algorithm - -
*
* We saw the different processing above , now let ' s see how they are
* used together .
*
* For each interrupt :
* For each interval :
* Compute the index = ilog2 ( interval )
* Compute a new_ema ( buffer [ index ] , interval )
* Store the index in a circular buffer
*
* Compute the suffix array of the indexes
*
* For each suffix :
* If the suffix is reverse - found 3 times
* Return suffix
*
* Return Not found
*
* However we can not have endless suffix array to be build , it won ' t
* make sense and it will add an extra overhead , so we can restrict
* this to a maximum suffix length of 5 and a minimum suffix length of
* 2 . The experience showed 5 is the majority of the maximum pattern
* period found for different devices .
*
* The result is a pattern finding less than 1 us for an interrupt .
*
* Example based on real values :
*
* Example 1 : MMC write / read interrupt interval :
*
* 223947 , 1240 , 1384 , 1386 , 1386 ,
* 217416 , 1236 , 1384 , 1386 , 1387 ,
* 214719 , 1241 , 1386 , 1387 , 1384 ,
* 213696 , 1234 , 1384 , 1386 , 1388 ,
* 219904 , 1240 , 1385 , 1389 , 1385 ,
* 212240 , 1240 , 1386 , 1386 , 1386 ,
* 214415 , 1236 , 1384 , 1386 , 1387 ,
* 214276 , 1234 , 1384 , 1388 , ?
*
* For each element , apply ilog2 ( value )
*
* 15 , 8 , 8 , 8 , 8 ,
* 15 , 8 , 8 , 8 , 8 ,
* 15 , 8 , 8 , 8 , 8 ,
* 15 , 8 , 8 , 8 , 8 ,
* 15 , 8 , 8 , 8 , 8 ,
* 15 , 8 , 8 , 8 , 8 ,
* 15 , 8 , 8 , 8 , 8 ,
* 15 , 8 , 8 , 8 , ?
*
* Max period of 5 , we take the last ( max_period * 3 ) 15 elements as
* we can be confident if the pattern repeats itself three times it is
* a repeating pattern .
*
* 8 ,
* 15 , 8 , 8 , 8 , 8 ,
* 15 , 8 , 8 , 8 , 8 ,
* 15 , 8 , 8 , 8 , ?
*
* Suffixes are :
*
* 1 ) 8 , 15 , 8 , 8 , 8 < - max period
* 2 ) 8 , 15 , 8 , 8
* 3 ) 8 , 15 , 8
* 4 ) 8 , 15 < - min period
*
* From there we search the repeating pattern for each suffix .
*
* buffer : 8 , 15 , 8 , 8 , 8 , 8 , 15 , 8 , 8 , 8 , 8 , 15 , 8 , 8 , 8
* | | | | | | | | | | | | | | |
* 8 , 15 , 8 , 8 , 8 | | | | | | | | | |
* 8 , 15 , 8 , 8 , 8 | | | | |
* 8 , 15 , 8 , 8 , 8
*
* When moving the suffix , we found exactly 3 matches .
*
* The first suffix with period 5 is repeating .
*
* The next event is ( 3 * max_period ) % suffix_period
*
* In this example , the result 0 , so the next event is suffix [ 0 ] = > 8
*
* However , 8 is the index in the array of exponential moving average
* which was calculated on the fly when storing the values , so the
* interval is ema [ 8 ] = 1366
*
*
* Example 2 :
*
* 4 , 3 , 5 , 100 ,
* 3 , 3 , 5 , 117 ,
* 4 , 4 , 5 , 112 ,
* 4 , 3 , 4 , 110 ,
* 3 , 5 , 3 , 117 ,
* 4 , 4 , 5 , 112 ,
* 4 , 3 , 4 , 110 ,
* 3 , 4 , 5 , 112 ,
* 4 , 3 , 4 , 110
*
* ilog2
*
* 0 , 0 , 0 , 4 ,
* 0 , 0 , 0 , 4 ,
* 0 , 0 , 0 , 4 ,
* 0 , 0 , 0 , 4 ,
* 0 , 0 , 0 , 4 ,
* 0 , 0 , 0 , 4 ,
* 0 , 0 , 0 , 4 ,
* 0 , 0 , 0 , 4 ,
* 0 , 0 , 0 , 4
*
* Max period 5 :
* 0 , 0 , 4 ,
* 0 , 0 , 0 , 4 ,
* 0 , 0 , 0 , 4 ,
* 0 , 0 , 0 , 4
*
* Suffixes :
*
* 1 ) 0 , 0 , 4 , 0 , 0
* 2 ) 0 , 0 , 4 , 0
* 3 ) 0 , 0 , 4
* 4 ) 0 , 0
*
* buffer : 0 , 0 , 4 , 0 , 0 , 0 , 4 , 0 , 0 , 0 , 4 , 0 , 0 , 0 , 4
* | | | | | | X
* 0 , 0 , 4 , 0 , 0 , | X
* 0 , 0
*
* buffer : 0 , 0 , 4 , 0 , 0 , 0 , 4 , 0 , 0 , 0 , 4 , 0 , 0 , 0 , 4
* | | | | | | | | | | | | | | |
* 0 , 0 , 4 , 0 , | | | | | | | | | | |
* 0 , 0 , 4 , 0 , | | | | | | |
* 0 , 0 , 4 , 0 , | | |
* 0 0 4
*
* Pattern is found 3 times , the remaining is 1 which results from
* ( max_period * 3 ) % suffix_period . This value is the index in the
* suffix arrays . The suffix array for a period 4 has the value 4
* at index 1 .
*/
#define EMA_ALPHA_VAL 64
#define EMA_ALPHA_SHIFT 7
#define PREDICTION_PERIOD_MIN 3
#define PREDICTION_PERIOD_MAX 5
#define PREDICTION_FACTOR 4
#define PREDICTION_MAX 10 /* 2 ^ PREDICTION_MAX useconds */
#define PREDICTION_BUFFER_SIZE 16 /* slots for EMAs, hardly more than 16 */
/*
* Number of elements in the circular buffer : If it happens it was
* flushed before , then the number of elements could be smaller than
* IRQ_TIMINGS_SIZE , so the count is used , otherwise the array size is
* used as we wrapped . The index begins from zero when we did not
* wrap . That could be done in a nicer way with the proper circular
* array structure type but with the cost of extra computation in the
* interrupt handler hot path . We choose efficiency .
*/
#define for_each_irqts(i, irqts) \
for (i = irqts->count < IRQ_TIMINGS_SIZE ? \
0 : irqts->count & IRQ_TIMINGS_MASK, \
irqts->count = min(IRQ_TIMINGS_SIZE, \
irqts->count); \
irqts->count > 0 ; irqts->count--, \
i = (i + 1 ) & IRQ_TIMINGS_MASK)
struct irqt_stat {
u64 last_ts;
u64 ema_time[PREDICTION_BUFFER_SIZE];
int timings[IRQ_TIMINGS_SIZE];
int circ_timings[IRQ_TIMINGS_SIZE];
int count;
};
/*
* Exponential moving average computation
*/
static u64 irq_timings_ema_new(u64 value, u64 ema_old)
{
s64 diff;
if (unlikely(!ema_old))
return value;
diff = (value - ema_old) * EMA_ALPHA_VAL;
/*
* We can use a s64 type variable to be added with the u64
* ema_old variable as this one will never have its topmost
* bit set , it will be always smaller than 2 ^ 63 nanosec
* interrupt interval ( 292 years ) .
*/
return ema_old + (diff >> EMA_ALPHA_SHIFT);
}
static int irq_timings_next_event_index(int *buffer, size_t len, int period_max)
{
int period;
/*
* Move the beginning pointer to the end minus the max period x 3 .
* We are at the point we can begin searching the pattern
*/
buffer = &buffer[len - (period_max * 3 )];
/* Adjust the length to the maximum allowed period x 3 */
len = period_max * 3 ;
/*
* The buffer contains the suite of intervals , in a ilog2
* basis , we are looking for a repetition . We point the
* beginning of the search three times the length of the
* period beginning at the end of the buffer . We do that for
* each suffix .
*/
for (period = period_max; period >= PREDICTION_PERIOD_MIN; period--) {
/*
* The first comparison always succeed because the
* suffix is deduced from the first n - period bytes of
* the buffer and we compare the initial suffix with
* itself , so we can skip the first iteration .
*/
int idx = period;
size_t size = period;
/*
* We look if the suite with period ' i ' repeat
* itself . If it is truncated at the end , as it
* repeats we can use the period to find out the next
* element with the modulo .
*/
while (!memcmp(buffer, &buffer[idx], size * sizeof (int ))) {
/*
* Move the index in a period basis
*/
idx += size;
/*
* If this condition is reached , all previous
* memcmp were successful , so the period is
* found .
*/
if (idx == len)
return buffer[len % period];
/*
* If the remaining elements to compare are
* smaller than the period , readjust the size
* of the comparison for the last iteration .
*/
if (len - idx < period)
size = len - idx;
}
}
return -1 ;
}
static u64 __irq_timings_next_event(struct irqt_stat *irqs, int irq, u64 now)
{
int index, i, period_max, count, start, min = INT_MAX;
if ((now - irqs->last_ts) >= NSEC_PER_SEC) {
irqs->count = irqs->last_ts = 0 ;
return U64_MAX;
}
/*
* As we want to find three times the repetition , we need a
* number of intervals greater or equal to three times the
* maximum period , otherwise we truncate the max period .
*/
period_max = irqs->count > (3 * PREDICTION_PERIOD_MAX) ?
PREDICTION_PERIOD_MAX : irqs->count / 3 ;
/*
* If we don ' t have enough irq timings for this prediction ,
* just bail out .
*/
if (period_max <= PREDICTION_PERIOD_MIN)
return U64_MAX;
/*
* ' count ' will depends if the circular buffer wrapped or not
*/
count = irqs->count < IRQ_TIMINGS_SIZE ?
irqs->count : IRQ_TIMINGS_SIZE;
start = irqs->count < IRQ_TIMINGS_SIZE ?
0 : (irqs->count & IRQ_TIMINGS_MASK);
/*
* Copy the content of the circular buffer into another buffer
* in order to linearize the buffer instead of dealing with
* wrapping indexes and shifted array which will be prone to
* error and extremely difficult to debug .
*/
for (i = 0 ; i < count; i++) {
int index = (start + i) & IRQ_TIMINGS_MASK;
irqs->timings[i] = irqs->circ_timings[index];
min = min_t(int , irqs->timings[i], min);
}
index = irq_timings_next_event_index(irqs->timings, count, period_max);
if (index < 0 )
return irqs->last_ts + irqs->ema_time[min];
return irqs->last_ts + irqs->ema_time[index];
}
static __always_inline int irq_timings_interval_index(u64 interval)
{
/*
* The PREDICTION_FACTOR increase the interval size for the
* array of exponential average .
*/
u64 interval_us = (interval >> 10 ) / PREDICTION_FACTOR;
return likely(interval_us) ? ilog2(interval_us) : 0 ;
}
static __always_inline void __irq_timings_store(int irq, struct irqt_stat *irqs,
u64 interval)
{
int index;
/*
* Get the index in the ema table for this interrupt .
*/
index = irq_timings_interval_index(interval);
if (index > PREDICTION_BUFFER_SIZE - 1 ) {
irqs->count = 0 ;
return ;
}
/*
* Store the index as an element of the pattern in another
* circular array .
*/
irqs->circ_timings[irqs->count & IRQ_TIMINGS_MASK] = index;
irqs->ema_time[index] = irq_timings_ema_new(interval,
irqs->ema_time[index]);
irqs->count++;
}
static inline void irq_timings_store(int irq, struct irqt_stat *irqs, u64 ts)
{
u64 old_ts = irqs->last_ts;
u64 interval;
/*
* The timestamps are absolute time values , we need to compute
* the timing interval between two interrupts .
*/
irqs->last_ts = ts;
/*
* The interval type is u64 in order to deal with the same
* type in our computation , that prevent mindfuck issues with
* overflow , sign and division .
*/
interval = ts - old_ts;
/*
* The interrupt triggered more than one second apart , that
* ends the sequence as predictable for our purpose . In this
* case , assume we have the beginning of a sequence and the
* timestamp is the first value . As it is impossible to
* predict anything at this point , return .
*
* Note the first timestamp of the sequence will always fall
* in this test because the old_ts is zero . That is what we
* want as we need another timestamp to compute an interval .
*/
if (interval >= NSEC_PER_SEC) {
irqs->count = 0 ;
return ;
}
__irq_timings_store(irq, irqs, interval);
}
/**
* irq_timings_next_event - Return when the next event is supposed to arrive
* @ now : current time
*
* During the last busy cycle , the number of interrupts is incremented
* and stored in the irq_timings structure . This information is
* necessary to :
*
* - know if the index in the table wrapped up :
*
* If more than the array size interrupts happened during the
* last busy / idle cycle , the index wrapped up and we have to
* begin with the next element in the array which is the last one
* in the sequence , otherwise it is at the index 0 .
*
* - have an indication of the interrupts activity on this CPU
* ( eg . irq / sec )
*
* The values are ' consumed ' after inserting in the statistical model ,
* thus the count is reinitialized .
*
* The array of values * * must * * be browsed in the time direction , the
* timestamp must increase between an element and the next one .
*
* Returns a nanosec time based estimation of the earliest interrupt ,
* U64_MAX otherwise .
*/
u64 irq_timings_next_event(u64 now)
{
struct irq_timings *irqts = this_cpu_ptr(&irq_timings);
struct irqt_stat *irqs;
struct irqt_stat __percpu *s;
u64 ts, next_evt = U64_MAX;
int i, irq = 0 ;
/*
* This function must be called with the local irq disabled in
* order to prevent the timings circular buffer to be updated
* while we are reading it .
*/
lockdep_assert_irqs_disabled();
if (!irqts->count)
return next_evt;
/*
* Number of elements in the circular buffer : If it happens it
* was flushed before , then the number of elements could be
* smaller than IRQ_TIMINGS_SIZE , so the count is used ,
* otherwise the array size is used as we wrapped . The index
* begins from zero when we did not wrap . That could be done
* in a nicer way with the proper circular array structure
* type but with the cost of extra computation in the
* interrupt handler hot path . We choose efficiency .
*
* Inject measured irq / timestamp to the pattern prediction
* model while decrementing the counter because we consume the
* data from our circular buffer .
*/
for_each_irqts(i, irqts) {
irq = irq_timing_decode(irqts->values[i], &ts);
s = idr_find(&irqt_stats, irq);
if (s)
irq_timings_store(irq, this_cpu_ptr(s), ts);
}
/*
* Look in the list of interrupts ' statistics , the earliest
* next event .
*/
idr_for_each_entry(&irqt_stats, s, i) {
irqs = this_cpu_ptr(s);
ts = __irq_timings_next_event(irqs, i, now);
if (ts <= now)
return now;
if (ts < next_evt)
next_evt = ts;
}
return next_evt;
}
void irq_timings_free(int irq)
{
struct irqt_stat __percpu *s;
s = idr_find(&irqt_stats, irq);
if (s) {
free_percpu(s);
idr_remove(&irqt_stats, irq);
}
}
int irq_timings_alloc(int irq)
{
struct irqt_stat __percpu *s;
int id;
/*
* Some platforms can have the same private interrupt per cpu ,
* so this function may be called several times with the
* same interrupt number . Just bail out in case the per cpu
* stat structure is already allocated .
*/
s = idr_find(&irqt_stats, irq);
if (s)
return 0 ;
s = alloc_percpu(*s);
if (!s)
return -ENOMEM;
idr_preload(GFP_KERNEL);
id = idr_alloc(&irqt_stats, s, irq, irq + 1 , GFP_NOWAIT);
idr_preload_end();
if (id < 0 ) {
free_percpu(s);
return id;
}
return 0 ;
}
#ifdef CONFIG_TEST_IRQ_TIMINGS
struct timings_intervals {
u64 *intervals;
size_t count;
};
/*
* Intervals are given in nanosecond base
*/
static u64 intervals0[] __initdata = {
10000 , 50000 , 200000 , 500000 ,
10000 , 50000 , 200000 , 500000 ,
10000 , 50000 , 200000 , 500000 ,
10000 , 50000 , 200000 , 500000 ,
10000 , 50000 , 200000 , 500000 ,
10000 , 50000 , 200000 , 500000 ,
10000 , 50000 , 200000 , 500000 ,
10000 , 50000 , 200000 , 500000 ,
10000 , 50000 , 200000 ,
};
static u64 intervals1[] __initdata = {
223947000 , 1240000 , 1384000 , 1386000 , 1386000 ,
217416000 , 1236000 , 1384000 , 1386000 , 1387000 ,
214719000 , 1241000 , 1386000 , 1387000 , 1384000 ,
213696000 , 1234000 , 1384000 , 1386000 , 1388000 ,
219904000 , 1240000 , 1385000 , 1389000 , 1385000 ,
212240000 , 1240000 , 1386000 , 1386000 , 1386000 ,
214415000 , 1236000 , 1384000 , 1386000 , 1387000 ,
214276000 , 1234000 ,
};
static u64 intervals2[] __initdata = {
4000 , 3000 , 5000 , 100000 ,
3000 , 3000 , 5000 , 117000 ,
4000 , 4000 , 5000 , 112000 ,
4000 , 3000 , 4000 , 110000 ,
3000 , 5000 , 3000 , 117000 ,
4000 , 4000 , 5000 , 112000 ,
4000 , 3000 , 4000 , 110000 ,
3000 , 4000 , 5000 , 112000 ,
4000 ,
};
static u64 intervals3[] __initdata = {
1385000 , 212240000 , 1240000 ,
1386000 , 214415000 , 1236000 ,
1384000 , 214276000 , 1234000 ,
1386000 , 214415000 , 1236000 ,
1385000 , 212240000 , 1240000 ,
1386000 , 214415000 , 1236000 ,
1384000 , 214276000 , 1234000 ,
1386000 , 214415000 , 1236000 ,
1385000 , 212240000 , 1240000 ,
};
static u64 intervals4[] __initdata = {
10000 , 50000 , 10000 , 50000 ,
10000 , 50000 , 10000 , 50000 ,
10000 , 50000 , 10000 , 50000 ,
10000 , 50000 , 10000 , 50000 ,
10000 , 50000 , 10000 , 50000 ,
10000 , 50000 , 10000 , 50000 ,
10000 , 50000 , 10000 , 50000 ,
10000 , 50000 , 10000 , 50000 ,
10000 ,
};
static struct timings_intervals tis[] __initdata = {
{ intervals0, ARRAY_SIZE(intervals0) },
{ intervals1, ARRAY_SIZE(intervals1) },
{ intervals2, ARRAY_SIZE(intervals2) },
{ intervals3, ARRAY_SIZE(intervals3) },
{ intervals4, ARRAY_SIZE(intervals4) },
};
static int __init irq_timings_test_next_index(struct timings_intervals *ti)
{
int _buffer[IRQ_TIMINGS_SIZE];
int buffer[IRQ_TIMINGS_SIZE];
int index, start, i, count, period_max;
count = ti->count - 1 ;
period_max = count > (3 * PREDICTION_PERIOD_MAX) ?
PREDICTION_PERIOD_MAX : count / 3 ;
/*
* Inject all values except the last one which will be used
* to compare with the next index result .
*/
pr_debug("index suite: " );
for (i = 0 ; i < count; i++) {
index = irq_timings_interval_index(ti->intervals[i]);
_buffer[i & IRQ_TIMINGS_MASK] = index;
pr_cont("%d " , index);
}
start = count < IRQ_TIMINGS_SIZE ? 0 :
count & IRQ_TIMINGS_MASK;
count = min_t(int , count, IRQ_TIMINGS_SIZE);
for (i = 0 ; i < count; i++) {
int index = (start + i) & IRQ_TIMINGS_MASK;
buffer[i] = _buffer[index];
}
index = irq_timings_next_event_index(buffer, count, period_max);
i = irq_timings_interval_index(ti->intervals[ti->count - 1 ]);
if (index != i) {
pr_err("Expected (%d) and computed (%d) next indexes differ\n" ,
i, index);
return -EINVAL;
}
return 0 ;
}
static int __init irq_timings_next_index_selftest(void )
{
int i, ret;
for (i = 0 ; i < ARRAY_SIZE(tis); i++) {
pr_info("---> Injecting intervals number #%d (count=%zd)\n" ,
i, tis[i].count);
ret = irq_timings_test_next_index(&tis[i]);
if (ret)
break ;
}
return ret;
}
static int __init irq_timings_test_irqs(struct timings_intervals *ti)
{
struct irqt_stat __percpu *s;
struct irqt_stat *irqs;
int i, index, ret, irq = 0 xACE5;
ret = irq_timings_alloc(irq);
if (ret) {
pr_err("Failed to allocate irq timings\n" );
return ret;
}
s = idr_find(&irqt_stats, irq);
if (!s) {
ret = -EIDRM;
goto out;
}
irqs = this_cpu_ptr(s);
for (i = 0 ; i < ti->count; i++) {
index = irq_timings_interval_index(ti->intervals[i]);
pr_debug("%d: interval=%llu ema_index=%d\n" ,
i, ti->intervals[i], index);
__irq_timings_store(irq, irqs, ti->intervals[i]);
if (irqs->circ_timings[i & IRQ_TIMINGS_MASK] != index) {
ret = -EBADSLT;
pr_err("Failed to store in the circular buffer\n" );
goto out;
}
}
if (irqs->count != ti->count) {
ret = -ERANGE;
pr_err("Count differs\n" );
goto out;
}
ret = 0 ;
out:
irq_timings_free(irq);
return ret;
}
static int __init irq_timings_irqs_selftest(void )
{
int i, ret;
for (i = 0 ; i < ARRAY_SIZE(tis); i++) {
pr_info("---> Injecting intervals number #%d (count=%zd)\n" ,
i, tis[i].count);
ret = irq_timings_test_irqs(&tis[i]);
if (ret)
break ;
}
return ret;
}
static int __init irq_timings_test_irqts(struct irq_timings *irqts,
unsigned count)
{
int start = count >= IRQ_TIMINGS_SIZE ? count - IRQ_TIMINGS_SIZE : 0 ;
int i, irq, oirq = 0 xBEEF;
u64 ots = 0 xDEAD, ts;
/*
* Fill the circular buffer by using the dedicated function .
*/
for (i = 0 ; i < count; i++) {
pr_debug("%d: index=%d, ts=%llX irq=%X\n" ,
i, i & IRQ_TIMINGS_MASK, ots + i, oirq + i);
irq_timings_push(ots + i, oirq + i);
}
/*
* Compute the first elements values after the index wrapped
* up or not .
*/
ots += start;
oirq += start;
/*
* Test the circular buffer count is correct .
*/
pr_debug("---> Checking timings array count (%d) is right\n" , count);
if (WARN_ON(irqts->count != count))
return -EINVAL;
/*
* Test the macro allowing to browse all the irqts .
*/
pr_debug("---> Checking the for_each_irqts() macro\n" );
for_each_irqts(i, irqts) {
irq = irq_timing_decode(irqts->values[i], &ts);
pr_debug("index=%d, ts=%llX / %llX, irq=%X / %X\n" ,
i, ts, ots, irq, oirq);
if (WARN_ON(ts != ots || irq != oirq))
return -EINVAL;
ots++; oirq++;
}
/*
* The circular buffer should have be flushed when browsed
* with for_each_irqts
*/
pr_debug("---> Checking timings array is empty after browsing it\n" );
if (WARN_ON(irqts->count))
return -EINVAL;
return 0 ;
}
static int __init irq_timings_irqts_selftest(void )
{
struct irq_timings *irqts = this_cpu_ptr(&irq_timings);
int i, ret;
/*
* Test the circular buffer with different number of
* elements . The purpose is to test at the limits ( empty , half
* full , full , wrapped with the cursor at the boundaries ,
* wrapped several times , etc . . .
*/
int count[] = { 0 ,
IRQ_TIMINGS_SIZE >> 1 ,
IRQ_TIMINGS_SIZE,
IRQ_TIMINGS_SIZE + (IRQ_TIMINGS_SIZE >> 1 ),
2 * IRQ_TIMINGS_SIZE,
(2 * IRQ_TIMINGS_SIZE) + 3 ,
};
for (i = 0 ; i < ARRAY_SIZE(count); i++) {
pr_info("---> Checking the timings with %d/%d values\n" ,
count[i], IRQ_TIMINGS_SIZE);
ret = irq_timings_test_irqts(irqts, count[i]);
if (ret)
break ;
}
return ret;
}
static int __init irq_timings_selftest(void )
{
int ret;
pr_info("------------------- selftest start -----------------\n" );
/*
* At this point , we don ' t except any subsystem to use the irq
* timings but us , so it should not be enabled .
*/
if (static_branch_unlikely(&irq_timing_enabled)) {
pr_warn("irq timings already initialized, skipping selftest\n" );
return 0 ;
}
ret = irq_timings_irqts_selftest();
if (ret)
goto out;
ret = irq_timings_irqs_selftest();
if (ret)
goto out;
ret = irq_timings_next_index_selftest();
out:
pr_info("---------- selftest end with %s -----------\n" ,
ret ? "failure" : "success" );
return ret;
}
early_initcall(irq_timings_selftest);
#endif
Messung V0.5 in Prozent C=96 H=82 G=89
¤ Dauer der Verarbeitung: 0.25 Sekunden
(vorverarbeitet am 2026-09-27)
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