LKML: Christian Loehle: Re: [RFT][PATCH v1 0/5] cpuidle: menu: Avoid discarding useful information when processing recent idle intervals

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Wysocki"</a><ul><li><a href="/lkml/2025/2/6/923">"Rafael J. Wysocki"</a><ul><li><a href="/lkml/2025/2/17/790">Christian Loehle</a></li></ul></li><li><a href="/lkml/2025/2/6/924">"Rafael J. Wysocki"</a><ul><li><a href="/lkml/2025/2/17/866">Christian Loehle</a><ul><li><a href="/lkml/2025/2/17/880">"Rafael J. Wysocki"</a></li></ul></li></ul></li><li><a href="/lkml/2025/2/6/925">"Rafael J. Wysocki"</a><ul><li><a href="/lkml/2025/2/17/853">Christian Loehle</a></li></ul></li><li><a href="/lkml/2025/2/6/926">"Rafael J. Wysocki"</a><ul><li><a href="/lkml/2025/2/17/804">Christian Loehle</a></li></ul></li><li><a href="/lkml/2025/2/6/928">"Rafael J. Wysocki"</a><ul><li><a href="/lkml/2025/2/6/961">Christian Loehle</a></li></ul></li><li><a href="/lkml/2025/2/7/1027">Artem Bityutskiy</a><ul><li><a href="/lkml/2025/2/7/1103">Christian Loehle</a><ul><li><a href="/lkml/2025/2/7/1115">"Rafael J. Wysocki"</a></li></ul></li><li><a href="/lkml/2025/2/7/1157">"Rafael J. Wysocki"</a></li></ul></li><li><a href="/lkml/2025/2/10/922">Christian Loehle</a><ul><li><a href="/lkml/2025/2/10/965">"Rafael J. Wysocki"</a><ul><li><a href="/lkml/2025/2/10/972">Christian Loehle</a></li></ul></li><li class="origin"><a href="/lkml/2025/2/19/773">Christian Loehle</a><ul><li><a href="/lkml/2025/2/19/773">"Rafael J. Wysocki"</a></li></ul></li></ul></li><li><a href="/lkml/2025/2/13/1996">"Doug Smythies"</a><ul><li><a href="/lkml/2025/2/14/1548">"Rafael J. Wysocki"</a><ul><li><a href="/lkml/2025/2/16/278">"Doug Smythies"</a></li></ul></li></ul></li><li><a href="/lkml/2025/2/24/221">Aboorva Devarajan</a><ul><li><a href="/lkml/2025/2/24/240">Aboorva Devarajan</a></li><li><a href="/lkml/2025/2/24/1038">"Rafael J. Wysocki"</a></li><li><a href="/lkml/2025/2/26/233">Aboorva Devarajan</a><ul><li><a href="/lkml/2025/2/26/773">Christian Loehle</a></li></ul></li></ul></li></ul></li></ul></td><td width="32" rowspan="2" class="c" valign="top"><img src="/images/icornerl.gif" width="32" height="32" alt="/" /></td><td class="c" rowspan="2" valign="top" style="padding-top: 1em"><table><tr><td><table><tr><td class="lp">Date</td><td class="rp" itemprop="datePublished">Tue, 18 Feb 2025 21:17:27 +0000</td></tr><tr><td class="lp">Subject</td><td class="rp" itemprop="name">Re: [RFT][PATCH v1 0/5] cpuidle: menu: Avoid discarding useful information when processing recent idle intervals</td></tr><tr><td class="lp">From</td><td class="rp" itemprop="author">Christian Loehle <></td></tr></table></td><td></td></tr></table><pre itemprop="articleBody">On 2/10/25 14:15, Christian Loehle wrote: > On 2/6/25 14:21, Rafael J. Wysocki wrote: >> Hi Everyone, >> >> This work had been triggered by a report that commit 0611a640e60a ("eventpoll: >> prefer kfree_rcu() in __ep_remove()") had caused the critical-jOPS metric of >> the SPECjbb 2015 benchmark [1] to drop by around 50% even though it generally >> reduced kernel overhead. Indeed, it was found during further investigation >> that the total interrupt rate while running the SPECjbb workload had fallen as >> a result of that commit by 55% and the local timer interrupt rate had fallen by >> almost 80%. >> >> That turned out to cause the menu cpuidle governor to select the deepest idle >> state supplied by the cpuidle driver (intel_idle) much more often which added >> significantly more idle state latency to the workload and that led to the >> decrease of the critical-jOPS score. >> >> Interestingly enough, this problem was not visible when the teo cpuidle >> governor was used instead of menu, so it appeared to be specific to the >> latter. CPU wakeup event statistics collected while running the workload >> indicated that the menu governor was effectively ignoring non-timer wakeup >> information and all of its idle state selection decisions appeared to be >> based on timer wakeups only. Thus, it appeared that the reduction of the >> local timer interrupt rate caused the governor to predict a idle duration >> much more often while running the workload and the deepest idle state was >> selected significantly more often as a result of that. >> >> A subsequent inspection of the get_typical_interval() function in the menu >> governor indicated that it might return UINT_MAX too often which then caused >> the governor's decisions to be based entirely on information related to timers. >> >> Generally speaking, UINT_MAX is returned by get_typical_interval() if it >> cannot make a prediction based on the most recent idle intervals data with >> sufficiently high confidence, but at least in some cases this means that >> useful information is not taken into account at all which may lead to >> significant idle state selection mistakes. Moreover, this is not really >> unlikely to happen. >> >> One issue with get_typical_interval() is that, when it eliminates outliers from >> the sample set in an attempt to reduce the standard deviation (and so improve >> the prediction confidence), it does that by dropping high-end samples only, >> while samples at the low end of the set are retained. However, the samples >> at the low end very well may be the outliers and they should be eliminated >> from the sample set instead of the high-end samples. Accordingly, the >> likelihood of making a meaningful idle duration prediction can be improved >> by making it also eliminate low-end samples if they are farther from the >> average than high-end samples. This is done in patch [4/5]. >> >> Another issue is that get_typical_interval() gives up after eliminating 1/4 >> of the samples if the standard deviation is still not as low as desired (within >> 1/6 of the average or within 20 us if the average is close to 0), but the >> remaining samples in the set still represent useful information at that point >> and discarding them altogether may lead to suboptimal idle state selection. >> >> For instance, the largest idle duration value in the get_typical_interval() >> data set is the maximum idle duration observed recently and it is likely that >> the upcoming idle duration will not exceed it. Therefore, in the absence of >> a better choice, this value can be used as an upper bound on the target >> residency of the idle state to select. Patch [5/5] works along these lines, >> but it takes the maximum data point remaining after the elimination of >> outliers. >> >> The first two patches in the series are straightforward cleanups (in fact, >> the first patch is kind of reversed by patch [4/5], but it is there because >> it can be applied without the latter) and patch [3/5] is a cosmetic change >> made in preparation for the subsequent ones. >> >> This series turns out to restore the SPECjbb critical-jOPS metric on affected >> systems to the level from before commit 0611a640e60a and it also happens to >> increase its max-jOPS metric by around 3%. >> >> For easier reference/testing it is present in the git branch at >> >> <a href="https://git.kernel.org/pub/scm/linux/kernel/git/rafael/linux-pm.git/log/?h=experimental/menu">https://git.kernel.org/pub/scm/linux/kernel/git/rafael/linux-pm.git/log/?h=experimental/menu</a> >> >> based on the cpuidle material that went into 6.14-rc1. >> >> If possible, please let me know if it works for you. >> >> Thanks! >> >> >> [1] Link: <a href="https://www.spec.org/jbb2015/">https://www.spec.org/jbb2015/</a> Another dump for x86 idle this time, tldr: no worrying idle/power numbers teo 0 121.76 12202 813 0.067 390 423 teo 1 158.53 8223 536 0.065 328 208 teo 2 219.37 8373 527 0.063 294 233 teo 3 220.7 8241 538 0.065 340 198 teo 4 211.8 7923 442 0.056 268 174 menu 0 151.63 8185 326 0.040 308 18 menu 1 183.45 8873 364 0.041 334 30 menu 2 171.96 8633 380 0.044 369 11 menu 3 164.95 8451 358 0.042 330 28 menu 4 175.87 8273 340 0.041 317 23 menu-1 0 119.77 9041 394 0.044 356 38 menu-1 1 145.73 8603 335 0.039 293 42 menu-1 2 157.89 8345 321 0.038 276 45 menu-1 3 119.13 8447 346 0.041 290 56 menu-1 4 142.77 8331 331 0.040 312 19 menu-2 0 159.81 8653 342 0.040 296 46 menu-2 1 165.01 8421 307 0.036 282 25 menu-2 2 225.06 8647 376 0.043 317 59 menu-2 3 232.13 8095 358 0.044 325 33 menu-2 4 150.79 8231 323 0.039 299 24 menu-3 0 168.87 8153 355 0.044 330 25 menu-3 1 187.68 9143 405 0.044 338 67 menu-3 2 129.77 9705 384 0.040 301 83 menu-3 3 152.49 9679 469 0.048 374 95 menu-3 4 131.0 9077 321 0.035 283 38 menu-4 0 116.68 9107 373 0.041 333 40 menu-4 1 164.1 8655 297 0.034 287 10 menu-4 2 157.52 8009 300 0.037 297 3 menu-4 3 138.47 8567 345 0.040 341 4 menu-4 4 130.84 8027 324 0.040 316 8 menu-5 0 139.77 8533 327 0.038 317 10 menu-5 1 157.22 9127 433 0.047 373 60 menu-5 2 144.54 8313 329 0.040 311 18 menu-5 3 151.55 8675 316 0.036 301 15 menu-5 4 137.49 8823 354 0.040 336 18 menu 0 128.97 8383 329 0.039 284 45 menu 1 141.97 8945 402 0.045 344 58 menu 2 88.16 8829 368 0.042 307 61 menu 3 81.49 9165 430 0.047 371 59 menu 4 107.58 9193 401 0.044 335 66 teo 0 149.28 8399 521 0.062 287 234 teo 1 105.61 8717 563 0.065 306 257 teo 2 116.65 7893 550 0.070 284 266 teo 3 119.57 8259 489 0.059 282 207 teo 4 187.64 7897 471 0.060 303 168 And the rk3399 numbers as promised, just like rk3588 we see much better IO performance (menu-5) without significant worse idle decisions: device gov iter iops idles idle_misses idle_miss_ratio belows aboves mapper/dm-slow teo 0 461 102980 32260 0.313 6036 26224 mapper/dm-slow teo 1 461 100698 31149 0.309 5796 25353 mapper/dm-slow teo 2 461 100346 32840 0.327 6022 26818 mapper/dm-slow teo 3 461 98450 31513 0.320 5129 26384 mapper/dm-slow teo 4 461 98689 29982 0.304 3937 26045 mapper/dm-slow menu 0 461 97860 22520 0.230 5505 17015 mapper/dm-slow menu 1 461 98002 20858 0.213 3596 17262 mapper/dm-slow menu 2 461 100046 22523 0.225 5333 17190 mapper/dm-slow menu 3 461 95020 20827 0.219 4069 16758 mapper/dm-slow menu 4 461 98040 22302 0.227 5498 16804 mapper/dm-slow menu-1 0 461 98186 20648 0.210 3210 17438 mapper/dm-slow menu-1 1 461 94360 20297 0.215 4184 16113 mapper/dm-slow menu-1 2 461 98818 21680 0.219 4750 16930 mapper/dm-slow menu-1 3 461 97822 20605 0.211 3469 17136 mapper/dm-slow menu-1 4 461 100748 21740 0.216 4403 17337 mapper/dm-slow menu-2 0 461 94388 20289 0.215 3449 16840 mapper/dm-slow menu-2 1 460 89124 18897 0.212 2401 16496 mapper/dm-slow menu-2 2 461 94932 20692 0.218 2949 17743 mapper/dm-slow menu-2 3 461 95270 20612 0.216 3048 17564 mapper/dm-slow menu-2 4 461 101954 23493 0.230 5978 17515 mapper/dm-slow menu-3 0 461 98452 21161 0.215 4247 16914 mapper/dm-slow menu-3 1 461 100342 21035 0.210 3891 17144 mapper/dm-slow menu-3 2 461 101156 23322 0.231 5924 17398 mapper/dm-slow menu-3 3 461 98052 20862 0.213 3927 16935 mapper/dm-slow menu-3 4 461 97746 20977 0.215 3706 17271 mapper/dm-slow menu-4 0 461 99826 23727 0.238 5055 18672 mapper/dm-slow menu-4 1 461 101686 24859 0.244 5175 19684 mapper/dm-slow menu-4 2 461 99934 23568 0.236 4477 19091 mapper/dm-slow menu-4 3 461 97298 22142 0.228 3644 18498 mapper/dm-slow menu-4 4 461 98546 24023 0.244 5086 18937 mapper/dm-slow menu-5 0 461 100545 22833 0.227 3830 19003 mapper/dm-slow menu-5 1 461 100827 23999 0.238 5217 18782 mapper/dm-slow menu-5 2 461 97044 22628 0.233 2910 19718 mapper/dm-slow menu-5 3 461 100234 23303 0.232 4819 18484 mapper/dm-slow menu-5 4 461 102358 24488 0.239 4770 19718 mapper/dm-slow menu 0 461 97008 21114 0.218 4540 16574 mapper/dm-slow menu 1 461 96088 21470 0.223 3650 17820 mapper/dm-slow menu 2 461 99008 21019 0.212 3405 17614 mapper/dm-slow menu 3 461 96608 20145 0.209 3729 16416 mapper/dm-slow menu 4 461 83152 17469 0.210 2426 15043 mapper/dm-slow teo 0 461 99340 32077 0.323 5772 26305 mapper/dm-slow teo 1 461 98694 29426 0.298 3585 25841 mapper/dm-slow teo 2 461 100294 29810 0.297 3561 26249 mapper/dm-slow teo 3 461 98726 29496 0.299 3644 25852 mapper/dm-slow teo 4 461 101424 32654 0.322 6029 26625 mmcblk1 teo 0 2016 559362 29994 0.054 2896 27098 mmcblk1 teo 1 2037 562153 30001 0.053 3171 26830 mmcblk1 teo 2 2016 557360 30185 0.054 2986 27199 mmcblk1 menu 0 1279 335364 103600 0.309 87662 15938 mmcblk1 menu 1 1292 342036 105446 0.308 89031 16415 mmcblk1 menu 2 1294 352954 108588 0.308 90420 18168 mmcblk1 menu-1 0 1271 331220 103163 0.311 87602 15561 mmcblk1 menu-1 1 1291 350084 108982 0.311 90670 18312 mmcblk1 menu-1 2 1284 346412 107494 0.310 89899 17595 mmcblk1 menu-2 0 1306 344316 106253 0.309 89650 16603 mmcblk1 menu-2 1 1278 345684 107893 0.312 90292 17601 mmcblk1 menu-2 2 1268 334528 104494 0.312 88457 16037 mmcblk1 menu-3 0 1270 333456 104160 0.312 88392 15768 mmcblk1 menu-3 1 1273 338328 105477 0.312 88798 16679 mmcblk1 menu-3 2 1280 337002 104623 0.310 88516 16107 mmcblk1 menu-4 0 1311 344896 104192 0.302 87051 17141 mmcblk1 menu-4 1 1292 343878 106459 0.310 88297 18162 mmcblk1 menu-4 2 1286 340172 105502 0.310 87753 17749 mmcblk1 menu-5 0 2006 550266 24981 0.045 6762 18219 mmcblk1 menu-5 1 1997 553590 26974 0.049 6955 20019 mmcblk1 menu-5 2 1994 539494 17652 0.033 3903 13749 mmcblk2 teo 0 5691 820134 29346 0.036 3078 26268 mmcblk2 teo 1 5684 856976 23202 0.027 1908 21294 mmcblk2 teo 2 5783 824666 13984 0.017 3938 10046 mmcblk2 menu 0 2770 433474 144860 0.334 127466 17394 mmcblk2 menu 1 3308 367848 89597 0.244 72668 16929 mmcblk2 menu 2 2882 422844 133523 0.316 117170 16353 mmcblk2 menu-1 0 3323 394674 115764 0.293 99328 16436 mmcblk2 menu-1 1 2778 420262 139538 0.332 122356 17182 mmcblk2 menu-1 2 2895 400774 124841 0.311 109572 15269 mmcblk2 menu-2 0 2679 429818 148494 0.345 131513 16981 mmcblk2 menu-2 1 3162 363888 96102 0.264 79200 16902 mmcblk2 menu-2 2 2684 422324 144606 0.342 128528 16078 mmcblk2 menu-3 0 2953 392124 118629 0.303 101068 17561 mmcblk2 menu-3 1 3003 402614 120567 0.299 103321 17246 mmcblk2 menu-3 2 2858 422576 136118 0.322 119485 16633 mmcblk2 menu-4 0 3288 436860 118566 0.271 100329 18237 mmcblk2 menu-4 1 3062 462484 139897 0.302 121424 18473 mmcblk2 menu-4 2 3257 424458 115493 0.272 97739 17754 mmcblk2 menu-5 0 5316 573050 52502 0.092 33285 19217 mmcblk2 menu-5 1 5446 825538 44073 0.053 24355 19718 mmcblk2 menu-5 2 5292 796000 52828 0.066 38640 14188 nvme0n1 teo 0 11371 807338 29879 0.037 2961 26918 nvme0n1 teo 1 11557 815682 29116 0.036 2947 26169 nvme0n1 teo 2 11424 810108 29800 0.037 2953 26847 nvme0n1 menu 0 7754 574116 93148 0.162 76482 16666 nvme0n1 menu 1 8371 618954 95502 0.154 77657 17845 nvme0n1 menu 2 5111 412030 73440 0.178 55997 17443 nvme0n1 menu-1 0 6628 506618 91832 0.181 71427 20405 nvme0n1 menu-1 1 4923 390294 68772 0.176 52880 15892 nvme0n1 menu-1 2 5015 396160 68840 0.174 52867 15973 nvme0n1 menu-2 0 7883 589296 97497 0.165 79635 17862 nvme0n1 menu-2 1 6465 493796 81561 0.165 64629 16932 nvme0n1 menu-2 2 5363 430614 75499 0.175 57528 17971 nvme0n1 menu-3 0 5090 415018 74191 0.179 56015 18176 nvme0n1 menu-3 1 4919 401452 71994 0.179 54457 17537 nvme0n1 menu-3 2 5183 413186 74199 0.180 57542 16657 nvme0n1 menu-4 0 5402 424860 67413 0.159 49399 18014 nvme0n1 menu-4 1 5343 420538 67713 0.161 49826 17887 nvme0n1 menu-4 2 9151 669840 107892 0.161 87774 20118 nvme0n1 menu-5 0 10475 741376 20204 0.027 1827 18377 nvme0n1 menu-5 1 10603 747262 19228 0.026 1489 17739 nvme0n1 menu-5 2 11658 824996 22954 0.028 2631 20323 sda teo 0 2328 1334552 48960 0.037 20922 28038 sda teo 1 2328 1267840 37740 0.030 11934 25806 sda teo 2 2394 1360679 21853 0.016 3394 18459 sda menu 0 1004 587054 198775 0.339 184002 14773 sda menu 1 1205 663838 209623 0.316 193325 16298 sda menu 2 1117 615382 208813 0.339 191893 16920 sda menu-1 0 1103 627838 212955 0.339 195703 17252 sda menu-1 1 1024 611658 221754 0.363 203710 18044 sda menu-1 2 1209 639008 180597 0.283 163837 16760 sda menu-2 0 1200 655398 205664 0.314 190750 14914 sda menu-2 1 1100 582222 201983 0.347 185874 16109 sda menu-2 2 1124 602988 199623 0.331 183798 15825 sda menu-3 0 1089 612112 211470 0.345 195156 16314 sda menu-3 1 1077 613556 213484 0.348 196839 16645 sda menu-3 2 1157 636904 195439 0.307 179535 15904 sda menu-4 0 1126 643468 208132 0.323 189334 18798 sda menu-4 1 1112 634480 216012 0.340 196841 19171 sda menu-4 2 1190 594398 196059 0.330 176190 19869 sda menu-5 0 2074 1134718 81294 0.072 61820 19474 sda menu-5 1 2179 1249056 76679 0.061 55461 21218 sda menu-5 2 2075 1183214 124075 0.105 101650 22425 nullb0 teo 0 104833 85906 29085 0.339 3409 25676 nullb0 teo 1 103787 88419 29833 0.337 2980 26853 nullb0 teo 2 104611 86284 29390 0.341 3315 26075 nullb0 menu 0 103671 87146 20514 0.235 2643 17871 nullb0 menu 1 104380 70086 16855 0.240 1642 15213 nullb0 menu 2 103249 81414 19403 0.238 2274 17129 nullb0 menu-1 0 103424 86984 20448 0.235 2617 17831 nullb0 menu-1 1 103857 85658 20840 0.243 2544 18296 nullb0 menu-1 2 103907 86644 20639 0.238 2586 18053 nullb0 menu-2 0 103668 82558 20053 0.243 2655 17398 nullb0 menu-2 1 104277 86914 20472 0.236 2593 17879 nullb0 menu-2 2 103697 82952 20221 0.244 2410 17811 nullb0 menu-3 0 103696 86534 20782 0.240 2968 17814 nullb0 menu-3 1 103996 81902 19795 0.242 2773 17022 nullb0 menu-3 2 103790 82474 20058 0.243 2344 17714 nullb0 menu-4 0 103288 87475 22688 0.259 2596 20092 nullb0 menu-4 1 103848 70906 18106 0.255 1557 16549 nullb0 menu-4 2 104141 84528 22147 0.262 2969 19178 nullb0 menu-5 0 103812 79234 17989 0.227 1302 16687 nullb0 menu-5 1 104334 87752 22878 0.261 2511 20367 nullb0 menu-5 2 104059 88681 22765 0.257 3030 19735 mtdblock3 teo 0 257 604294 17359 0.029 3241 14118 mtdblock3 teo 1 256 332344 31631 0.095 4644 26987 mtdblock3 teo 2 257 549736 29559 0.054 2841 26718 mtdblock3 menu 0 148 417388 134505 0.322 118487 16018 mtdblock3 menu 1 137 422132 149336 0.354 132655 16681 mtdblock3 menu 2 194 223808 59631 0.266 43076 16555 mtdblock3 menu-1 0 145 529186 143789 0.272 129433 14356 mtdblock3 menu-1 1 147 452302 140418 0.310 125009 15409 mtdblock3 menu-1 2 138 415152 146470 0.353 130607 15863 mtdblock3 menu-2 0 155 365750 118483 0.324 102676 15807 mtdblock3 menu-2 1 165 316818 101968 0.322 85597 16371 mtdblock3 menu-2 2 143 515664 126014 0.244 115854 10160 mtdblock3 menu-3 0 135 488188 150917 0.309 136442 14475 mtdblock3 menu-3 1 125 437774 158893 0.363 143319 15574 mtdblock3 menu-3 2 138 433332 152457 0.352 135017 17440 mtdblock3 menu-4 0 173 314250 101648 0.323 81511 20137 mtdblock3 menu-4 1 149 489030 139551 0.285 124126 15425 mtdblock3 menu-4 2 148 381488 133543 0.350 115885 17658 mtdblock3 menu-5 0 222 430158 63885 0.149 45240 18645 mtdblock3 menu-5 1 218 752248 80500 0.107 66453 14047 mtdblock3 menu-5 2 203 528828 105885 0.200 89573 1631 And finally a longer firefox youtube 4k playback (10mins) on x86: device gov iter Joules idles idle_misses idle_miss_ratio belows aboves menu 0 1064.48 357559 106048 0.297 105920 128 menu 1 1029.85 345569 104050 0.301 103938 112 menu 2 1105.93 347105 104958 0.302 104885 73 menu 3 1085.86 347365 106061 0.305 106001 60 menu 4 1115.24 352609 107913 0.306 107812 101 menu-5 0 1139.09 345827 90172 0.261 89609 563 menu-5 1 1111.58 335521 88953 0.265 88904 49 menu-5 2 1093.73 328645 85949 0.262 85839 110 menu-5 3 1036.69 330547 86163 0.261 86077 86 menu-5 4 1117.31 316143 81707 0.258 81580 127 menu 0 1099.72 353895 106574 0.301 106523 51 menu 1 1148.44 357867 107578 0.301 107369 209 menu 2 1098.15 341957 101995 0.298 101870 125 menu 3 1124.41 350423 105592 0.301 105481 111 menu 4 1185.94 366799 111132 0.303 111029 103 menu-5 0 1129.85 332413 86991 0.262 86885 106 menu-5 1 1086.59 318221 82020 0.258 81924 96 menu-5 2 1063.5 320273 83099 0.259 83048 51 menu-5 3 1070.7 331179 85998 0.260 85839 159 menu-5 4 1067.82 322689 83634 0.259 83548 86 Significantly improving idle miss belows. I'll do the Android tests, but that is very unlikely to show something this doesn't (there's only one non-WFI idle state and most workloads are intercept heavy, so if anything menu-5 should improve the overall situation.) Feel free to already add: Tested-by: Christian Loehle <christian.loehle@arm.com> </pre></td><td width="32" rowspan="2" class="c" valign="top"><img src="/images/icornerr.gif" width="32" height="32" alt="\" /></td></tr><tr><td align="right" valign="bottom"> 聽 </td></tr><tr><td align="right" valign="bottom">聽</td><td class="c" valign="bottom" style="padding-bottom: 0px"><img src="/images/bcornerl.gif" width="32" height="32" alt="\" /></td><td class="c">聽</td><td class="c" valign="bottom" style="padding-bottom: 0px"><img src="/images/bcornerr.gif" width="32" height="32" alt="/" /></td></tr><tr><td align="right" valign="top" colspan="2"> 聽 </td><td class="lm">Last update: 2025-02-18 22:18 聽聽 [W:1.991 / U:8.647 seconds] 漏2003-2020 <a href="http://blog.jasper.es/">Jasper Spaans</a>|hosted at <a href="https://www.digitalocean.com/?refcode=9a8e99d24cf9">Digital Ocean</a> and my Meterkast|<a href="http://blog.jasper.es/categories.html#lkml-ref">Read the blog</a></td><td>聽</td></tr></table><script language="javascript" src="/js/styleswitcher.js" type="text/javascript"></script></body></html>

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LKML: Christian Loehle: Re: [RFT][PATCH v1 0/5] cpuidle: menu: Avoid discarding useful information when processing recent idle intervals