*/
#define LOAD_AVG_PERIOD 32
#define LOAD_AVG_MAX 47742 /* maximum possible load avg */
-#define LOAD_AVG_MAX_N 345 /* number of full periods to produce LOAD_AVG_MAX */
/* Give new sched_entity start runnable values to heavy its load in infant time */
void init_entity_runnable_average(struct sched_entity *se)
0x85aac367, 0x82cd8698,
};
-/*
- * Precomputed \Sum y^k { 1<=k<=n }. These are floor(true_value) to prevent
- * over-estimates when re-combining.
- */
-static const u32 runnable_avg_yN_sum[] = {
- 0, 1002, 1982, 2941, 3880, 4798, 5697, 6576, 7437, 8279, 9103,
- 9909,10698,11470,12226,12966,13690,14398,15091,15769,16433,17082,
- 17718,18340,18949,19545,20128,20698,21256,21802,22336,22859,23371,
-};
-
-/*
- * Precomputed \Sum y^k { 1<=k<=n, where n%32=0). Values are rolled down to
- * lower integers. See Documentation/scheduler/sched-avg.txt how these
- * were generated:
- */
-static const u32 __accumulated_sum_N32[] = {
- 0, 23371, 35056, 40899, 43820, 45281,
- 46011, 46376, 46559, 46650, 46696, 46719,
-};
-
/*
* Approximate:
* val * y^n, where y^32 ~= 0.5 (~1 scheduling period)
{
unsigned int local_n;
- if (!n)
- return val;
- else if (unlikely(n > LOAD_AVG_PERIOD * 63))
+ if (unlikely(n > LOAD_AVG_PERIOD * 63))
return 0;
/* after bounds checking we can collapse to 32-bit */
return val;
}
-static u32 __accumulate_sum(u64 periods, u32 period_contrib, u32 remainder)
+static u32 __accumulate_pelt_segments(u64 periods, u32 d1, u32 d3)
{
- u32 c1, c2, c3 = remainder; /* y^0 == 1 */
-
- if (!periods)
- return remainder - period_contrib;
-
- if (unlikely(periods >= LOAD_AVG_MAX_N))
- return LOAD_AVG_MAX;
+ u32 c1, c2, c3 = d3; /* y^0 == 1 */
/*
* c1 = d1 y^(p+1)
*/
- c1 = decay_load((u64)(1024 - period_contrib), periods);
+ c1 = decay_load((u64)d1, periods);
- periods -= 1;
/*
- * For updates fully spanning n periods, the contribution to runnable
- * average will be:
+ * p
+ * c2 = 1024 \Sum y^n
+ * n=1
*
- * c2 = 1024 \Sum y^n
- *
- * We can compute this reasonably efficiently by combining:
- *
- * y^PERIOD = 1/2 with precomputed 1024 \Sum y^n {for: n < PERIOD}
+ * inf inf
+ * = 1024 ( \Sum y^n - \Sum y^n - y^0 )
+ * n=0 n=p+1
*/
- if (likely(periods <= LOAD_AVG_PERIOD)) {
- c2 = runnable_avg_yN_sum[periods];
- } else {
- c2 = __accumulated_sum_N32[periods/LOAD_AVG_PERIOD];
- periods %= LOAD_AVG_PERIOD;
- c2 = decay_load(c2, periods);
- c2 += runnable_avg_yN_sum[periods];
- }
+ c2 = LOAD_AVG_MAX - decay_load(LOAD_AVG_MAX, periods) - 1024;
return c1 + c2 + c3;
}
unsigned long weight, int running, struct cfs_rq *cfs_rq)
{
unsigned long scale_freq, scale_cpu;
+ u32 contrib = (u32)delta; /* p == 0 -> delta < 1024 */
u64 periods;
- u32 contrib;
scale_freq = arch_scale_freq_capacity(NULL, cpu);
scale_cpu = arch_scale_cpu_capacity(NULL, cpu);
decay_load(cfs_rq->runnable_load_sum, periods);
}
sa->util_sum = decay_load((u64)(sa->util_sum), periods);
- }
- /*
- * Step 2
- */
- delta %= 1024;
- contrib = __accumulate_sum(periods, sa->period_contrib, delta);
+ /*
+ * Step 2
+ */
+ delta %= 1024;
+ contrib = __accumulate_pelt_segments(periods,
+ 1024 - sa->period_contrib, delta);
+ }
sa->period_contrib = delta;
contrib = cap_scale(contrib, scale_freq);