measurementTime: 2 secs
# JMH 1.10.3 (released 30 days ago)
# VM version: JDK 1.8.0_51, VM 25.51-b03
# VM invoker: /opt/jdk1.8.0_51/jre/bin/java
# VM options: -XX:MaxInlineSize=400 -Xmx1g -Dverbose:gc -Didea.launcher.port=7550 -Didea.launcher.bin.path=/opt/idea-IU-142.3371.3/bin -Dfile.encoding=UTF-8
# Warmup: 20 iterations, 1 s each
# Measurement: 5 iterations, 2 s each
# Timeout: 10 min per iteration
# Threads: 1 thread, will synchronize iterations
# Benchmark mode: Sampling time
# Benchmark: net.openhft.chronicle.wire.benchmarks.ComparisonMain.boon

# Run progress: 0.00% complete, ETA 00:05:00
# Fork: 1 of 10
# Warmup Iteration   1: n = 1597, mean = 622755 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 110720, 146432, 262246, 302285, 15503852, 112799777, 222298112, 222298112 ns/op
# Warmup Iteration   2: n = 3818, mean = 258506 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 48832, 65792, 97536, 103680, 4058522, 34620506, 41091072, 41091072 ns/op
# Warmup Iteration   3: n = 9027, mean = 105180 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15904, 23424, 44301, 48960, 54940, 20117717, 109051904, 109051904 ns/op
# Warmup Iteration   4: n = 19518, mean = 30315 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15712, 18112, 18656, 18816, 21024, 199537, 29793108, 71434240 ns/op
# Warmup Iteration   5: n = 14660, mean = 30357 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15104, 15904, 16800, 18048, 18624, 191835, 82029596, 132644864 ns/op
# Warmup Iteration   6: n = 13587, mean = 17986 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14992, 15728, 15984, 16096, 18240, 30831, 14921754, 16056320 ns/op
# Warmup Iteration   7: n = 15271, mean = 15794 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14960, 15728, 15968, 16128, 17024, 21303, 110353, 196864 ns/op
# Warmup Iteration   8: n = 14803, mean = 18747 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15056, 15744, 16000, 16160, 17056, 22271, 17294813, 23756800 ns/op
# Warmup Iteration   9: n = 14876, mean = 17688 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15040, 15744, 15952, 16032, 16800, 21360, 12979583, 16039936 ns/op
# Warmup Iteration  10: n = 14797, mean = 15877 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15104, 15744, 15984, 16112, 19648, 22605, 33068, 33344 ns/op
# Warmup Iteration  11: n = 15449, mean = 15789 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15104, 15744, 15984, 16144, 16928, 21106, 33152, 33536 ns/op
# Warmup Iteration  12: n = 13944, mean = 15767 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15088, 15744, 15968, 16048, 16483, 20901, 32014, 32544 ns/op
# Warmup Iteration  13: n = 14438, mean = 16383 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15040, 15696, 15920, 15984, 16436, 20864, 5301346, 9486336 ns/op
# Warmup Iteration  14: n = 14572, mean = 16442 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15104, 15744, 15968, 16112, 16873, 21088, 5259505, 9666560 ns/op
# Warmup Iteration  15: n = 14375, mean = 16473 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15008, 15744, 15968, 16048, 19200, 23099, 5424122, 9617408 ns/op
# Warmup Iteration  16: n = 14835, mean = 15778 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15072, 15744, 15984, 16096, 16704, 20832, 31443, 32960 ns/op
# Warmup Iteration  17: n = 15401, mean = 16603 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14960, 15712, 15968, 16112, 17504, 20883, 6022086, 10715136 ns/op
# Warmup Iteration  18: n = 15469, mean = 15789 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15008, 15728, 15968, 16112, 17440, 20832, 31536, 31904 ns/op
# Warmup Iteration  19: n = 15424, mean = 15856 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15056, 15744, 15984, 16144, 18560, 22085, 52812, 55104 ns/op
# Warmup Iteration  20: n = 15418, mean = 15781 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14992, 15712, 15952, 16096, 17408, 21029, 31847, 31968 ns/op
Iteration   1: n = 29949, mean = 15769 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14992, 15728, 15968, 16096, 16896, 20928, 32738, 33536 ns/op
Iteration   2: n = 29608, mean = 18482 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14992, 15712, 15952, 16016, 17277, 20864, 10521731, 59899904 ns/op
Iteration   3: n = 29110, mean = 18478 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14944, 15728, 15968, 16112, 18496, 20992, 958836, 66715648 ns/op
Iteration   4: n = 30866, mean = 16109 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14944, 15696, 15936, 16064, 17376, 21028, 33556, 10682368 ns/op
Iteration   5: n = 29872, mean = 16180 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14976, 15728, 15984, 16128, 18464, 21168, 30535, 10534912 ns/op

# Run progress: 10.00% complete, ETA 00:04:47
# Fork: 2 of 10
# Warmup Iteration   1: n = 1787, mean = 556327 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 97152, 128512, 228352, 270950, 15729295, 76033819, 204210176, 204210176 ns/op
# Warmup Iteration   2: n = 3952, mean = 255744 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 44800, 57376, 83072, 85888, 5456364, 29119382, 86507520, 86507520 ns/op
# Warmup Iteration   3: n = 11455, mean = 66823 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14928, 15968, 24320, 31590, 49101, 16341795, 97354934, 107479040 ns/op
# Warmup Iteration   4: n = 16768, mean = 20743 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14480, 17088, 17504, 17632, 18698, 42301, 15324861, 16023552 ns/op
# Warmup Iteration   5: n = 19686, mean = 30091 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14528, 17248, 17728, 17888, 20064, 28028, 120361019, 121503744 ns/op
# Warmup Iteration   6: n = 13019, mean = 22395 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14448, 15264, 17920, 18080, 19136, 32020, 18796020, 19988480 ns/op
# Warmup Iteration   7: n = 12203, mean = 17819 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14592, 15424, 17824, 18048, 20831, 24627, 10415479, 10502144 ns/op
# Warmup Iteration   8: n = 15834, mean = 15288 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14544, 15232, 15520, 15632, 16800, 20709, 39972, 54144 ns/op
# Warmup Iteration   9: n = 15938, mean = 15948 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14544, 15248, 15536, 15664, 16704, 20962, 4336176, 10387456 ns/op
# Warmup Iteration  10: n = 13988, mean = 19150 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14528, 15248, 15552, 15952, 18596, 22401, 15200069, 16023552 ns/op
# Warmup Iteration  11: n = 15963, mean = 15347 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14544, 15248, 15552, 15824, 17984, 21057, 30311, 30368 ns/op
# Warmup Iteration  12: n = 15942, mean = 15360 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14464, 15248, 15552, 15856, 18144, 20866, 28047, 30272 ns/op
# Warmup Iteration  13: n = 15943, mean = 15898 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14560, 15248, 15552, 15664, 16640, 20994, 3919675, 9584640 ns/op
# Warmup Iteration  14: n = 15934, mean = 15930 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14528, 15264, 15568, 15924, 16992, 21420, 3902638, 9519104 ns/op
# Warmup Iteration  15: n = 15113, mean = 15347 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14464, 15264, 15584, 16144, 16992, 21088, 45830, 58496 ns/op
# Warmup Iteration  16: n = 15915, mean = 16623 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14560, 15248, 15552, 15792, 16704, 21317, 10460371, 10518528 ns/op
# Warmup Iteration  17: n = 15949, mean = 15895 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14544, 15248, 15520, 15616, 16736, 21506, 3921145, 9633792 ns/op
# Warmup Iteration  18: n = 15816, mean = 15893 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14496, 15248, 15520, 15616, 16699, 21126, 4069269, 9682944 ns/op
# Warmup Iteration  19: n = 15956, mean = 15380 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14464, 15248, 15552, 15808, 19008, 21379, 31476, 31552 ns/op
# Warmup Iteration  20: n = 15932, mean = 15378 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14560, 15264, 15568, 15888, 18912, 21506, 32336, 32640 ns/op
Iteration   1: n = 31876, mean = 15898 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14496, 15248, 15552, 15744, 16640, 20800, 33012, 9650176 ns/op
Iteration   2: n = 31461, mean = 15990 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14448, 15248, 15552, 15792, 16640, 21137, 43966, 11239424 ns/op
Iteration   3: n = 31804, mean = 15727 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14528, 15248, 15568, 15840, 19008, 21350, 35715, 10584064 ns/op
Iteration   4: n = 31800, mean = 15646 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14528, 15264, 15568, 15808, 16640, 20992, 32242, 10518528 ns/op
Iteration   5: n = 31825, mean = 16387 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14480, 15248, 15552, 15856, 19008, 21472, 8577184, 10649600 ns/op

# Run progress: 20.00% complete, ETA 00:04:15
# Fork: 3 of 10
# Warmup Iteration   1: n = 1730, mean = 577606 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 94592, 131584, 224230, 287744, 13636076, 81662968, 209190912, 209190912 ns/op
# Warmup Iteration   2: n = 4008, mean = 249901 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 41664, 61440, 84365, 89344, 2553692, 28013724, 110886912, 110886912 ns/op
# Warmup Iteration   3: n = 17173, mean = 56950 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15232, 17056, 27200, 39424, 42112, 19848757, 38069220, 44040192 ns/op
# Warmup Iteration   4: n = 16196, mean = 36652 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15264, 16832, 17280, 18208, 20897, 198606, 63538535, 125960192 ns/op
# Warmup Iteration   5: n = 10264, mean = 31359 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14400, 15392, 16384, 16672, 17728, 194424, 107564990, 109838336 ns/op
# Warmup Iteration   6: n = 13319, mean = 26438 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14432, 15280, 15600, 15792, 16595, 20502, 85716828, 121372672 ns/op
# Warmup Iteration   7: n = 14790, mean = 18884 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14512, 15264, 15552, 15648, 16419, 20449, 16039936, 16039936 ns/op
# Warmup Iteration   8: n = 15844, mean = 16028 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14528, 15328, 15632, 15824, 16704, 20480, 4329719, 10338304 ns/op
# Warmup Iteration   9: n = 15744, mean = 16644 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14544, 15328, 15648, 15836, 16768, 20744, 9799696, 10289152 ns/op
# Warmup Iteration  10: n = 15821, mean = 15479 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14528, 15344, 15664, 15856, 19040, 21355, 43990, 55168 ns/op
# Warmup Iteration  11: n = 14613, mean = 17649 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14544, 15264, 15552, 15648, 16412, 20409, 13341167, 16039936 ns/op
# Warmup Iteration  12: n = 15864, mean = 15951 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14352, 15296, 15616, 15824, 16640, 20758, 3949194, 9502720 ns/op
# Warmup Iteration  13: n = 15824, mean = 15365 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14592, 15328, 15616, 15712, 16544, 20582, 33451, 33600 ns/op
# Warmup Iteration  14: n = 15793, mean = 15388 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14592, 15344, 15648, 15728, 16337, 20685, 47812, 68096 ns/op
# Warmup Iteration  15: n = 15167, mean = 15975 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14528, 15312, 15584, 15680, 16416, 20608, 4671867, 9633792 ns/op
# Warmup Iteration  16: n = 15845, mean = 16671 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14496, 15296, 15616, 15840, 18304, 20682, 9957455, 10551296 ns/op
# Warmup Iteration  17: n = 15803, mean = 15327 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14544, 15280, 15584, 15760, 16544, 20256, 33611, 34688 ns/op
# Warmup Iteration  18: n = 15897, mean = 15989 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14512, 15264, 15552, 15760, 18240, 20643, 3978282, 9650176 ns/op
# Warmup Iteration  19: n = 15884, mean = 15381 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14576, 15264, 15584, 15776, 18304, 20743, 38201, 45696 ns/op
# Warmup Iteration  20: n = 15837, mean = 15364 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14448, 15296, 15600, 15808, 16992, 20469, 32397, 32640 ns/op
Iteration   1: n = 31673, mean = 15662 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14512, 15280, 15584, 15760, 16448, 20288, 32048, 10436608 ns/op
Iteration   2: n = 31273, mean = 16361 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14496, 15280, 15552, 15648, 16368, 20320, 5487000, 16039936 ns/op
Iteration   3: n = 31580, mean = 16051 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14528, 15328, 15632, 15808, 16960, 20237, 31828, 10502144 ns/op
Iteration   4: n = 31691, mean = 15674 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14528, 15280, 15584, 15792, 16960, 20256, 37077, 10502144 ns/op
Iteration   5: n = 30660, mean = 15683 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14560, 15312, 15584, 15680, 16416, 20352, 32939, 10485760 ns/op

# Run progress: 30.00% complete, ETA 00:03:42
# Fork: 4 of 10
# Warmup Iteration   1: n = 1653, mean = 613499 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 104064, 150784, 253184, 299008, 14317978, 105741550, 205520896, 205520896 ns/op
# Warmup Iteration   2: n = 4083, mean = 261180 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 34880, 45568, 95616, 100992, 7073628, 24305598, 98041856, 98041856 ns/op
# Warmup Iteration   3: n = 12708, mean = 58045 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14768, 15776, 21024, 29568, 36410, 18873319, 87914879, 105775104 ns/op
# Warmup Iteration   4: n = 16415, mean = 25897 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14560, 17280, 17728, 17888, 20256, 194241, 47684282, 104333312 ns/op
# Warmup Iteration   5: n = 10723, mean = 41275 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14064, 14928, 15408, 15984, 18968, 38188, 102698739, 103809024 ns/op
# Warmup Iteration   6: n = 12115, mean = 17564 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14160, 17280, 17856, 17952, 18208, 24891, 9951337, 12500992 ns/op
# Warmup Iteration   7: n = 14956, mean = 18127 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14288, 15120, 15424, 15600, 16416, 20320, 13213778, 16056320 ns/op
# Warmup Iteration   8: n = 16001, mean = 15807 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14352, 15136, 15440, 15648, 17055, 20160, 3818507, 9469952 ns/op
# Warmup Iteration   9: n = 14852, mean = 15174 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14320, 15104, 15408, 15632, 16992, 20293, 33017, 33856 ns/op
# Warmup Iteration  10: n = 15086, mean = 15122 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 15088, 15376, 15456, 16304, 20026, 56951, 59328 ns/op
# Warmup Iteration  11: n = 15225, mean = 16521 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 15152, 15446, 15616, 16960, 20692, 9934396, 10371072 ns/op
# Warmup Iteration  12: n = 15788, mean = 15912 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14336, 15184, 15472, 15696, 16960, 20093, 4414381, 10436608 ns/op
# Warmup Iteration  13: n = 15976, mean = 15838 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14304, 15136, 15440, 15632, 18112, 20353, 3802905, 9404416 ns/op
# Warmup Iteration  14: n = 16001, mean = 15210 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 15104, 15424, 15632, 18016, 20384, 32307, 32384 ns/op
# Warmup Iteration  15: n = 15359, mean = 15807 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 15152, 15424, 15536, 16326, 20402, 4472542, 9601024 ns/op
# Warmup Iteration  16: n = 14909, mean = 15142 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 15088, 15408, 15616, 16480, 20131, 33346, 33472 ns/op
# Warmup Iteration  17: n = 15119, mean = 19600 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14208, 15088, 15392, 15568, 19072, 22166, 32286343, 66125824 ns/op
# Warmup Iteration  18: n = 16060, mean = 15099 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14208, 15072, 15344, 15424, 15888, 20000, 31489, 32032 ns/op
# Warmup Iteration  19: n = 16055, mean = 15712 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 15088, 15360, 15440, 16304, 20254, 3806488, 9601024 ns/op
# Warmup Iteration  20: n = 15284, mean = 15847 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14336, 15120, 15392, 15536, 16368, 19991, 4953324, 10469376 ns/op
Iteration   1: n = 31914, mean = 15944 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14336, 15152, 15440, 15616, 19040, 21315, 34418, 10665984 ns/op
Iteration   2: n = 31117, mean = 16462 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14256, 15072, 15376, 15600, 19008, 21788, 10004319, 11272192 ns/op
Iteration   3: n = 31933, mean = 15148 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14336, 15120, 15376, 15456, 15936, 20004, 30851, 31712 ns/op
Iteration   4: n = 31958, mean = 15839 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14336, 15136, 15408, 15600, 16480, 20032, 53614, 10567680 ns/op
Iteration   5: n = 31706, mean = 16292 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14320, 15152, 15424, 15610, 19104, 21395, 8706012, 10780672 ns/op

# Run progress: 40.00% complete, ETA 00:03:10
# Fork: 5 of 10
# Warmup Iteration   1: n = 1514, mean = 650038 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 106624, 133888, 248832, 302720, 15568077, 151349166, 282066944, 282066944 ns/op
# Warmup Iteration   2: n = 3926, mean = 260605 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 33088, 61536, 92672, 104531, 7209042, 30339105, 36175872, 36175872 ns/op
# Warmup Iteration   3: n = 11566, mean = 63088 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15152, 16064, 28576, 32149, 36970, 19617907, 78821622, 87293952 ns/op
# Warmup Iteration   4: n = 15171, mean = 39871 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14944, 17024, 17568, 17952, 28032, 205780, 115692903, 134742016 ns/op
# Warmup Iteration   5: n = 13055, mean = 19145 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14640, 15424, 17664, 17824, 19310, 30809, 23031815, 26116096 ns/op
# Warmup Iteration   6: n = 15213, mean = 17409 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14432, 15200, 15520, 15781, 16960, 21319, 16046381, 20480000 ns/op
# Warmup Iteration   7: n = 15539, mean = 15895 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14544, 15216, 15536, 15760, 16896, 20175, 4233807, 9453568 ns/op
# Warmup Iteration   8: n = 15442, mean = 16468 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14464, 15200, 15515, 15648, 16544, 20352, 9441747, 9486336 ns/op
# Warmup Iteration   9: n = 14738, mean = 15250 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14448, 15216, 15488, 15600, 16362, 20241, 48575, 57280 ns/op
# Warmup Iteration  10: n = 15875, mean = 16418 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14464, 15168, 15456, 15552, 16448, 20748, 9524183, 9764864 ns/op
# Warmup Iteration  11: n = 16035, mean = 15217 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14400, 15184, 15456, 15568, 16468, 20319, 31860, 33792 ns/op
# Warmup Iteration  12: n = 16014, mean = 15209 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14384, 15168, 15456, 15568, 16480, 20254, 32985, 33216 ns/op
# Warmup Iteration  13: n = 16011, mean = 15983 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14496, 15184, 15520, 15776, 19008, 21341, 4194579, 10469376 ns/op
# Warmup Iteration  14: n = 15026, mean = 15253 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14496, 15216, 15488, 15584, 16608, 20223, 31567, 31680 ns/op
# Warmup Iteration  15: n = 15117, mean = 19453 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14448, 15200, 15488, 15600, 16544, 20256, 31115497, 63700992 ns/op
# Warmup Iteration  16: n = 15937, mean = 16809 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14496, 15200, 15536, 15824, 16928, 20618, 9759733, 9895936 ns/op
# Warmup Iteration  17: n = 15327, mean = 15723 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14336, 15056, 15344, 15456, 16448, 19979, 4472388, 9535488 ns/op
# Warmup Iteration  18: n = 16147, mean = 15703 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14384, 15056, 15376, 15520, 16304, 20192, 3739361, 9650176 ns/op
# Warmup Iteration  19: n = 16138, mean = 15746 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14384, 15072, 15408, 15680, 16768, 20439, 3726738, 9601024 ns/op
# Warmup Iteration  20: n = 15307, mean = 15769 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14336, 15072, 15408, 15664, 16768, 20143, 4454211, 9420800 ns/op
Iteration   1: n = 32018, mean = 15228 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14480, 15184, 15472, 15584, 16576, 20287, 30655, 31200 ns/op
Iteration   2: n = 30689, mean = 15607 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14480, 15216, 15536, 15664, 16480, 20298, 47408, 10436608 ns/op
Iteration   3: n = 31825, mean = 15533 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14464, 15200, 15472, 15584, 16448, 20160, 30740, 9486336 ns/op
Iteration   4: n = 31995, mean = 15911 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14432, 15200, 15520, 15776, 17889, 20416, 31808, 9797632 ns/op
Iteration   5: n = 31943, mean = 15577 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14384, 15200, 15504, 15648, 16416, 20130, 31924, 10584064 ns/op

# Run progress: 50.00% complete, ETA 00:02:39
# Fork: 6 of 10
# Warmup Iteration   1: n = 1728, mean = 573496 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 97408, 127552, 233523, 279142, 14695465, 75795825, 201326592, 201326592 ns/op
# Warmup Iteration   2: n = 4017, mean = 273970 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 34176, 50944, 89472, 92544, 4272292, 40172388, 109576192, 109576192 ns/op
# Warmup Iteration   3: n = 13103, mean = 53569 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14832, 16064, 19744, 26688, 33277, 16018440, 78153725, 98435072 ns/op
# Warmup Iteration   4: n = 17277, mean = 34241 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14272, 16640, 17120, 17248, 18983, 194304, 103185777, 124649472 ns/op
# Warmup Iteration   5: n = 11624, mean = 27181 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14128, 15136, 15472, 15696, 17976, 28416, 76593357, 88342528 ns/op
# Warmup Iteration   6: n = 15327, mean = 15323 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14432, 15216, 15536, 15664, 17568, 22264, 213044, 230912 ns/op
# Warmup Iteration   7: n = 15214, mean = 16268 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14448, 15200, 16112, 17472, 18395, 23366, 6220722, 10420224 ns/op
# Warmup Iteration   8: n = 15370, mean = 15362 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14448, 15216, 15616, 17248, 17824, 21054, 41298, 46592 ns/op
# Warmup Iteration   9: n = 15048, mean = 16735 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14448, 15232, 15616, 17280, 17824, 22306, 10121332, 20054016 ns/op
# Warmup Iteration  10: n = 15844, mean = 15352 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14384, 15216, 15584, 17248, 17792, 20869, 33688, 36288 ns/op
# Warmup Iteration  11: n = 14567, mean = 16112 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14400, 15200, 16080, 17568, 18826, 22460, 5271837, 9666560 ns/op
# Warmup Iteration  12: n = 15900, mean = 19596 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14352, 15216, 15504, 15664, 18880, 21267, 29721957, 57344000 ns/op
# Warmup Iteration  13: n = 15413, mean = 15259 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14432, 15232, 15520, 15600, 15886, 20171, 31994, 32704 ns/op
# Warmup Iteration  14: n = 15191, mean = 15232 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14400, 15200, 15488, 15552, 15984, 20058, 72465, 113536 ns/op
# Warmup Iteration  15: n = 15992, mean = 15218 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14400, 15184, 15472, 15552, 15921, 20193, 31668, 32224 ns/op
# Warmup Iteration  16: n = 15935, mean = 15869 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14448, 15216, 15504, 15600, 17728, 20386, 3974061, 9699328 ns/op
# Warmup Iteration  17: n = 15345, mean = 15278 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14400, 15184, 15504, 15648, 17952, 20256, 27955, 31616 ns/op
# Warmup Iteration  18: n = 15058, mean = 15897 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14352, 15200, 15520, 15680, 16960, 20288, 4744010, 9568256 ns/op
# Warmup Iteration  19: n = 14884, mean = 19089 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14368, 15168, 15472, 15616, 16210, 20356, 29581724, 57802752 ns/op
# Warmup Iteration  20: n = 15995, mean = 15917 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14416, 15184, 15488, 15648, 18048, 20384, 4121282, 10207232 ns/op
Iteration   1: n = 29908, mean = 17443 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14304, 15136, 15456, 15616, 16896, 20236, 10518975, 46137344 ns/op
Iteration   2: n = 30819, mean = 15843 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14320, 15152, 15456, 15616, 17984, 20326, 31586, 18481152 ns/op
Iteration   3: n = 31038, mean = 17841 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14336, 15152, 15456, 15616, 17984, 20479, 31965, 69730304 ns/op
Iteration   4: n = 31165, mean = 15499 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 15136, 15424, 15504, 16027, 19931, 31259, 10649600 ns/op
Iteration   5: n = 31120, mean = 15258 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14352, 15168, 15472, 15632, 18016, 20160, 29756, 30880 ns/op

# Run progress: 60.00% complete, ETA 00:02:07
# Fork: 7 of 10
# Warmup Iteration   1: n = 1602, mean = 620911 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 100864, 151040, 261632, 322662, 15249572, 99290776, 209190912, 209190912 ns/op
# Warmup Iteration   2: n = 4136, mean = 239910 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 37568, 62656, 99328, 102291, 4132700, 25958973, 90701824, 90701824 ns/op
# Warmup Iteration   3: n = 11331, mean = 74195 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15360, 16384, 27392, 30304, 42883, 19618988, 91742064, 92143616 ns/op
# Warmup Iteration   4: n = 16316, mean = 24547 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15504, 17536, 18144, 18432, 20384, 84188, 16913180, 18382848 ns/op
# Warmup Iteration   5: n = 18959, mean = 26783 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14688, 15600, 17216, 17696, 19072, 33633, 38736495, 130809856 ns/op
# Warmup Iteration   6: n = 14495, mean = 17466 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14432, 15456, 15824, 16000, 16992, 21889, 14056764, 16023552 ns/op
# Warmup Iteration   7: n = 10341, mean = 19612 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14960, 17600, 18048, 18208, 20088, 23786, 18520483, 18972672 ns/op
# Warmup Iteration   8: n = 15537, mean = 15709 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14880, 15680, 16000, 16128, 17056, 20815, 57542, 89600 ns/op
# Warmup Iteration   9: n = 15542, mean = 16338 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14832, 15664, 16000, 16384, 17472, 20573, 4289754, 9584640 ns/op
# Warmup Iteration  10: n = 15551, mean = 15719 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14832, 15664, 16000, 16416, 17408, 20398, 32103, 32352 ns/op
# Warmup Iteration  11: n = 15541, mean = 15764 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14848, 15664, 16000, 16256, 18624, 21019, 31331, 32448 ns/op
# Warmup Iteration  12: n = 15532, mean = 16903 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14816, 15664, 15968, 16064, 17088, 21103, 9475524, 9502720 ns/op
# Warmup Iteration  13: n = 14598, mean = 16329 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14816, 15664, 15968, 16048, 16992, 20800, 5139199, 9486336 ns/op
# Warmup Iteration  14: n = 15550, mean = 15723 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14896, 15664, 16000, 16384, 17440, 20512, 44114, 57472 ns/op
# Warmup Iteration  15: n = 15518, mean = 16374 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14832, 15680, 16016, 16608, 17504, 20527, 4431665, 9846784 ns/op
# Warmup Iteration  16: n = 14631, mean = 15704 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14720, 15664, 15968, 16064, 18880, 21379, 30349, 30720 ns/op
# Warmup Iteration  17: n = 15550, mean = 15655 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14784, 15632, 15936, 16032, 16992, 20683, 30920, 31968 ns/op
# Warmup Iteration  18: n = 15006, mean = 15628 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14768, 15616, 15920, 16000, 16832, 20544, 30192, 30400 ns/op
# Warmup Iteration  19: n = 15581, mean = 16253 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14832, 15632, 15936, 16016, 16928, 20512, 4237371, 9519104 ns/op
# Warmup Iteration  20: n = 15593, mean = 16846 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14832, 15600, 15904, 16000, 16992, 21069, 9529649, 9584640 ns/op
Iteration   1: n = 29754, mean = 17562 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14816, 15616, 15920, 16016, 16960, 20424, 265308, 47906816 ns/op
Iteration   2: n = 30185, mean = 16289 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14704, 15616, 15920, 16016, 16992, 20640, 31324, 10436608 ns/op
Iteration   3: n = 30586, mean = 17758 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14832, 15600, 15920, 16016, 16960, 20480, 8901728, 46137344 ns/op
Iteration   4: n = 30572, mean = 15975 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14752, 15632, 15968, 16176, 16992, 20905, 38904, 9551872 ns/op
Iteration   5: n = 31133, mean = 15949 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14752, 15616, 15930, 16016, 16960, 21350, 38282, 9535488 ns/op

# Run progress: 70.00% complete, ETA 00:01:35
# Fork: 8 of 10
# Warmup Iteration   1: n = 1715, mean = 579802 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 98048, 132608, 235264, 281190, 14511636, 86955786, 204734464, 204734464 ns/op
# Warmup Iteration   2: n = 4024, mean = 259980 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 33280, 49408, 91264, 94080, 5369856, 32210125, 74579968, 74579968 ns/op
# Warmup Iteration   3: n = 12160, mean = 54009 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14912, 16080, 21600, 34624, 44569, 15740043, 80654637, 92536832 ns/op
# Warmup Iteration   4: n = 16026, mean = 28062 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15216, 16800, 17344, 17536, 20064, 191737, 53149816, 109445120 ns/op
# Warmup Iteration   5: n = 12244, mean = 20014 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14304, 15072, 17056, 17280, 19424, 31075, 25719439, 27852800 ns/op
# Warmup Iteration   6: n = 15815, mean = 15555 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14336, 14960, 15232, 15328, 15920, 20812, 3647833, 8437760 ns/op
# Warmup Iteration   7: n = 15816, mean = 15591 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 14928, 15232, 15424, 16416, 19680, 3959428, 9420800 ns/op
# Warmup Iteration   8: n = 14884, mean = 16061 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14352, 14944, 15200, 15312, 16144, 20004, 8212773, 16023552 ns/op
# Warmup Iteration   9: n = 15219, mean = 15665 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14352, 14944, 15216, 15312, 16112, 21069, 4937124, 10289152 ns/op
# Warmup Iteration  10: n = 16040, mean = 15580 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 14944, 15216, 15296, 15801, 19807, 3853041, 9682944 ns/op
# Warmup Iteration  11: n = 14822, mean = 17207 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14384, 14960, 15280, 15504, 16800, 20102, 16023552, 16023552 ns/op
# Warmup Iteration  12: n = 16047, mean = 15611 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 14928, 15232, 15456, 16704, 20186, 3846844, 9650176 ns/op
# Warmup Iteration  13: n = 16183, mean = 15719 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14320, 14960, 15264, 15424, 16080, 20122, 4378954, 11386880 ns/op
# Warmup Iteration  14: n = 16205, mean = 14987 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14320, 14928, 15216, 15312, 16063, 19936, 83243, 164864 ns/op
# Warmup Iteration  15: n = 16206, mean = 16184 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14336, 14944, 15216, 15328, 16048, 19960, 9736615, 9797632 ns/op
# Warmup Iteration  16: n = 16210, mean = 15086 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14336, 14928, 15232, 15447, 18880, 21241, 32767, 34496 ns/op
# Warmup Iteration  17: n = 16286, mean = 15125 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14208, 14832, 15136, 15328, 18688, 20900, 907133, 2387968 ns/op
# Warmup Iteration  18: n = 16130, mean = 16280 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14256, 14816, 15120, 15312, 18720, 22044, 10492099, 10502144 ns/op
# Warmup Iteration  19: n = 15163, mean = 19948 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14272, 14848, 15104, 15200, 16640, 19803, 37107991, 76677120 ns/op
# Warmup Iteration  20: n = 16294, mean = 14890 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14160, 14816, 15104, 15296, 16320, 20081, 32796, 33984 ns/op
Iteration   1: n = 32557, mean = 15205 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 14832, 15104, 15184, 15671, 19982, 33006, 10616832 ns/op
Iteration   2: n = 32145, mean = 15153 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 14832, 15104, 15200, 15568, 19931, 32183, 8880128 ns/op
Iteration   3: n = 32177, mean = 15521 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14176, 14832, 15088, 15184, 15600, 19834, 34865, 10518528 ns/op
Iteration   4: n = 32543, mean = 15865 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 14848, 15120, 15216, 15849, 19808, 7801371, 10731520 ns/op
Iteration   5: n = 31560, mean = 15330 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 14848, 15136, 15312, 18752, 21120, 30882, 10469376 ns/op

# Run progress: 80.00% complete, ETA 00:01:03
# Fork: 9 of 10
# Warmup Iteration   1: n = 1730, mean = 587046 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 96256, 144128, 264192, 306688, 14982349, 81293148, 206569472, 206569472 ns/op
# Warmup Iteration   2: n = 4006, mean = 241964 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 34176, 57152, 83494, 91091, 4115046, 30307877, 91095040, 91095040 ns/op
# Warmup Iteration   3: n = 11348, mean = 63776 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15168, 16192, 28608, 34432, 46369, 16254026, 85589898, 91619328 ns/op
# Warmup Iteration   4: n = 16085, mean = 27230 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14944, 17248, 17728, 18240, 26144, 192204, 27755361, 33259520 ns/op
# Warmup Iteration   5: n = 19223, mean = 23315 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14160, 14896, 15760, 16864, 17568, 22112, 31044980, 114950144 ns/op
# Warmup Iteration   6: n = 14788, mean = 18285 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 15008, 15360, 15760, 18592, 27216, 17256135, 19759104 ns/op
# Warmup Iteration   7: n = 10491, mean = 19266 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14256, 17600, 18048, 18176, 19296, 35650, 15460093, 16023552 ns/op
# Warmup Iteration   8: n = 16343, mean = 16097 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14096, 14832, 15200, 15744, 16336, 20510, 9592924, 9863168 ns/op
# Warmup Iteration   9: n = 16279, mean = 15615 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14144, 14880, 15232, 15984, 17574, 20247, 3842611, 10272768 ns/op
# Warmup Iteration  10: n = 16323, mean = 14927 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 14864, 15152, 15280, 16364, 19926, 42183, 60032 ns/op
# Warmup Iteration  11: n = 16182, mean = 16171 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 14848, 15200, 16016, 18112, 21146, 9546496, 9617408 ns/op
# Warmup Iteration  12: n = 15435, mean = 15526 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14096, 14848, 15152, 15280, 16324, 20260, 4376487, 9551872 ns/op
# Warmup Iteration  13: n = 15642, mean = 19336 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 14880, 15232, 15664, 16336, 20320, 26937537, 49348608 ns/op
# Warmup Iteration  14: n = 16309, mean = 15525 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 14880, 15216, 15600, 16288, 20118, 3496730, 9420800 ns/op
# Warmup Iteration  15: n = 16259, mean = 14938 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 14864, 15200, 15600, 16304, 20032, 39462, 55488 ns/op
# Warmup Iteration  16: n = 16297, mean = 14932 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 14864, 15168, 15328, 16384, 20160, 30628, 30688 ns/op
# Warmup Iteration  17: n = 16345, mean = 15467 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14128, 14816, 15136, 15328, 16320, 19903, 3552225, 9666560 ns/op
# Warmup Iteration  18: n = 16167, mean = 15036 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 14880, 15200, 16000, 18720, 21147, 31586, 31744 ns/op
# Warmup Iteration  19: n = 16332, mean = 15539 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 14864, 15200, 15920, 16448, 19904, 3547435, 9617408 ns/op
# Warmup Iteration  20: n = 16346, mean = 15488 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14208, 14848, 15152, 15280, 16296, 20309, 3461241, 9420800 ns/op
Iteration   1: n = 32685, mean = 15509 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14112, 14848, 15200, 15904, 16416, 20064, 32368, 9519104 ns/op
Iteration   2: n = 32166, mean = 15391 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14160, 14864, 15184, 15344, 16320, 19968, 32077, 9469952 ns/op
Iteration   3: n = 32700, mean = 15188 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14096, 14848, 15136, 15296, 16288, 19882, 33505, 9486336 ns/op
Iteration   4: n = 32665, mean = 15225 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14096, 14848, 15200, 15904, 16448, 20128, 32892, 9568256 ns/op
Iteration   5: n = 32474, mean = 14951 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14144, 14864, 15216, 15904, 16416, 20322, 31961, 32224 ns/op

# Run progress: 90.00% complete, ETA 00:00:31
# Fork: 10 of 10
# Warmup Iteration   1: n = 1653, mean = 603332 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 101376, 153088, 251392, 296090, 15749284, 97775387, 212598784, 212598784 ns/op
# Warmup Iteration   2: n = 3926, mean = 243209 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 35328, 53120, 92710, 99283, 1353441, 32147800, 39845888, 39845888 ns/op
# Warmup Iteration   3: n = 13334, mean = 47907 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14560, 15424, 20224, 33600, 42240, 9921249, 91920531, 101187584 ns/op
# Warmup Iteration   4: n = 15703, mean = 36793 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14256, 17344, 17696, 17824, 20064, 48135, 119550876, 126877696 ns/op
# Warmup Iteration   5: n = 11465, mean = 36240 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 14976, 15328, 15552, 16747, 29877, 101285704, 101842944 ns/op
# Warmup Iteration   6: n = 15682, mean = 15218 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14272, 14928, 15296, 16736, 17472, 21172, 1065129, 2211840 ns/op
# Warmup Iteration   7: n = 15414, mean = 16881 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14272, 14976, 15664, 16864, 17408, 21400, 13101965, 16056320 ns/op
# Warmup Iteration   8: n = 15113, mean = 17158 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14304, 14976, 15472, 16896, 17504, 22574, 13015197, 16039936 ns/op
# Warmup Iteration   9: n = 14997, mean = 15146 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14256, 14960, 15616, 16896, 17472, 22976, 43540, 54528 ns/op
# Warmup Iteration  10: n = 15293, mean = 15107 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14176, 14960, 15328, 16864, 17408, 20256, 42447, 54272 ns/op
# Warmup Iteration  11: n = 15370, mean = 15924 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14288, 14976, 15280, 15392, 15984, 20148, 6543903, 14073856 ns/op
# Warmup Iteration  12: n = 15469, mean = 15827 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 15008, 15360, 15568, 18848, 22097, 4759309, 10469376 ns/op
# Warmup Iteration  13: n = 15614, mean = 19266 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 14976, 15280, 15392, 16032, 20332, 26055721, 46202880 ns/op
# Warmup Iteration  14: n = 16035, mean = 15649 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14256, 14960, 15280, 15376, 16128, 20158, 4135512, 10387456 ns/op
# Warmup Iteration  15: n = 16179, mean = 15692 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14272, 15008, 15344, 15488, 16227, 20346, 3974674, 10354688 ns/op
# Warmup Iteration  16: n = 16201, mean = 15768 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14208, 14960, 15312, 15536, 16672, 20435, 4765662, 10715136 ns/op
# Warmup Iteration  17: n = 16190, mean = 15699 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14288, 14992, 15344, 15552, 16736, 20116, 3931361, 10272768 ns/op
# Warmup Iteration  18: n = 16152, mean = 15135 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 15024, 15376, 15552, 18016, 20347, 30535, 30752 ns/op
# Warmup Iteration  19: n = 16201, mean = 15031 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 14976, 15312, 15440, 16192, 20435, 40737, 56832 ns/op
# Warmup Iteration  20: n = 16179, mean = 15725 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14208, 15008, 15344, 15536, 16736, 20372, 4037715, 10518528 ns/op
Iteration   1: n = 32361, mean = 15427 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14304, 14992, 15344, 15536, 18016, 20416, 32297, 10207232 ns/op
Iteration   2: n = 31908, mean = 16406 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 14992, 15344, 15520, 16704, 20582, 10204850, 11173888 ns/op
Iteration   3: n = 32366, mean = 16009 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14256, 14992, 15296, 15392, 15861, 20297, 7799603, 11436032 ns/op
Iteration   4: n = 31602, mean = 16784 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 14992, 15296, 15392, 16032, 20397, 32000, 55443456 ns/op
Iteration   5: n = 31265, mean = 17914 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14256, 14992, 15344, 15531, 18112, 20896, 9062437, 66715648 ns/op


Result "boon":
  16042.639 ±(99.9%) 391.729 ns/op [Average]
  (min, avg, max) = (14096.000, 16042.639, 69730304.000), stdev = 149241.764
  CI (99.9%): [15650.910, 16434.368] (assumes normal distribution)
  Samples, N = 1571600
        mean =  16042.639 ±(99.9%) 391.729 ns/op
         min =  14096.000 ns/op
  p( 0.0000) =  14096.000 ns/op
  p(50.0000) =  15184.000 ns/op
  p(90.0000) =  15744.000 ns/op
  p(95.0000) =  15920.000 ns/op
  p(99.0000) =  17952.000 ns/op
  p(99.9000) =  20704.000 ns/op
  p(99.9900) =  32480.000 ns/op
  p(99.9990) = 11004999.598 ns/op
  p(99.9999) = 68007123.615 ns/op
         max = 69730304.000 ns/op


# Run complete. Total time: 00:05:18

Benchmark              Mode      Cnt      Score     Error  Units
ComparisonMain.boon  sample  1571600  16042.639 ± 391.729  ns/op
