measurementTime: 2 secs
# JMH 1.10.3 (released 31 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=7535 -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.externalizableWithCBytes

# Run progress: 0.00% complete, ETA 00:05:00
# Fork: 1 of 10
# Warmup Iteration   1: n = 1554, mean = 631380 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 121088, 165888, 290816, 377600, 13741261, 36827300, 40173568, 40173568 ns/op
# Warmup Iteration   2: n = 2714, mean = 372767 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 78848, 98176, 124672, 133440, 14132019, 31391744, 36765696, 36765696 ns/op
# Warmup Iteration   3: n = 2856, mean = 352548 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 39104, 68864, 80384, 83328, 12098437, 36175872, 40173568, 40173568 ns/op
# Warmup Iteration   4: n = 11247, mean = 88774 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15376, 20480, 32128, 36992, 43041, 24084480, 93335637, 101056512 ns/op
# Warmup Iteration   5: n = 18954, mean = 29533 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14880, 16176, 16928, 18536, 20704, 676388, 31243600, 33062912 ns/op
# Warmup Iteration   6: n = 12320, mean = 32506 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14128, 14896, 15216, 16368, 19065, 188846, 100474277, 103546880 ns/op
# Warmup Iteration   7: n = 14951, mean = 15251 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14352, 15040, 15264, 15392, 19136, 26894, 190213, 190720 ns/op
# Warmup Iteration   8: n = 13078, mean = 24624 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14480, 15056, 15264, 15328, 15616, 25154, 86241218, 124518400 ns/op
# Warmup Iteration   9: n = 15123, mean = 15110 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14416, 15072, 15296, 15376, 15824, 24472, 27710, 27808 ns/op
# Warmup Iteration  10: n = 13896, mean = 15143 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14464, 15072, 15312, 15408, 15776, 24538, 189133, 193024 ns/op
# Warmup Iteration  11: n = 14970, mean = 15111 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14480, 15072, 15296, 15408, 15824, 24320, 26711, 27872 ns/op
# Warmup Iteration  12: n = 15130, mean = 15098 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14448, 15056, 15264, 15344, 15520, 24531, 28121, 28384 ns/op
# Warmup Iteration  13: n = 13718, mean = 15099 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14320, 15072, 15264, 15328, 15520, 24676, 28649, 28768 ns/op
# Warmup Iteration  14: n = 15118, mean = 15230 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14480, 15072, 15312, 15424, 19232, 24608, 42058, 54016 ns/op
# Warmup Iteration  15: n = 14820, mean = 15222 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14464, 15072, 15296, 15424, 19136, 24258, 28593, 28608 ns/op
# Warmup Iteration  16: n = 15129, mean = 15231 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14432, 15072, 15312, 15424, 19168, 24348, 41074, 53632 ns/op
# Warmup Iteration  17: n = 14766, mean = 15120 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14416, 15088, 15296, 15360, 15568, 23917, 35721, 41472 ns/op
# Warmup Iteration  18: n = 13915, mean = 15273 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14528, 15120, 15344, 15472, 19195, 25229, 29260, 29824 ns/op
# Warmup Iteration  19: n = 15114, mean = 20747 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14512, 15088, 15280, 15344, 15552, 24757, 41569208, 85065728 ns/op
# Warmup Iteration  20: n = 15118, mean = 15238 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14464, 15088, 15328, 15440, 19168, 23964, 25809, 26464 ns/op
Iteration   1: n = 28817, mean = 15121 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14384, 15088, 15296, 15360, 15552, 24131, 28209, 49920 ns/op
Iteration   2: n = 27896, mean = 18765 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14352, 15088, 15328, 15440, 19104, 24298, 2580244, 86376448 ns/op
Iteration   3: n = 28808, mean = 18079 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14496, 15088, 15296, 15360, 15536, 24518, 32999, 85065728 ns/op
Iteration   4: n = 30167, mean = 20798 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14416, 15104, 15328, 15392, 15600, 24661, 56572, 85458944 ns/op
Iteration   5: n = 28569, mean = 15270 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14432, 15120, 15344, 15456, 19200, 24380, 28343, 50944 ns/op

# Run progress: 10.00% complete, ETA 00:04:47
# Fork: 2 of 10
# Warmup Iteration   1: n = 1102, mean = 885347 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 150784, 179072, 328653, 389504, 24828641, 36293444, 36306944, 36306944 ns/op
# Warmup Iteration   2: n = 3119, mean = 327037 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 75520, 86656, 131328, 154624, 12107776, 27981251, 33161216, 33161216 ns/op
# Warmup Iteration   3: n = 3683, mean = 269716 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 46208, 54336, 74368, 77568, 7983596, 32961724, 36175872, 36175872 ns/op
# Warmup Iteration   4: n = 13700, mean = 72721 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14784, 20960, 28829, 45440, 49534, 19346063, 72566292, 97124352 ns/op
# Warmup Iteration   5: n = 19610, mean = 28464 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14032, 15408, 15792, 15888, 18432, 194432, 15931857, 99483648 ns/op
# Warmup Iteration   6: n = 11492, mean = 33890 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14016, 15456, 15856, 15952, 17890, 2076518, 85546405, 96862208 ns/op
# Warmup Iteration   7: n = 15378, mean = 21028 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13872, 14576, 14864, 15024, 17312, 27997, 44686968, 96468992 ns/op
# Warmup Iteration   8: n = 13713, mean = 22877 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13904, 14528, 14816, 14960, 16304, 24745, 71280986, 113377280 ns/op
# Warmup Iteration   9: n = 15650, mean = 20088 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13952, 14560, 14832, 14960, 17472, 24235, 37037602, 84672512 ns/op
# Warmup Iteration  10: n = 14160, mean = 26707 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13968, 14576, 14864, 15008, 16416, 24875, 85011189, 85065728 ns/op
# Warmup Iteration  11: n = 15253, mean = 14585 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13872, 14544, 14816, 14912, 15200, 24615, 29508, 29760 ns/op
# Warmup Iteration  12: n = 14184, mean = 20583 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13904, 14560, 14816, 14912, 15232, 23924, 49401930, 84934656 ns/op
# Warmup Iteration  13: n = 15634, mean = 20109 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13856, 14560, 14848, 15024, 17408, 23959, 37147094, 85065728 ns/op
# Warmup Iteration  14: n = 15446, mean = 14651 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13952, 14560, 14848, 15024, 16416, 24466, 28183, 28288 ns/op
# Warmup Iteration  15: n = 15595, mean = 14629 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13920, 14560, 14832, 14944, 16384, 24308, 28238, 28256 ns/op
# Warmup Iteration  16: n = 15463, mean = 14596 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13920, 14560, 14816, 14896, 15136, 23697, 41579, 53696 ns/op
# Warmup Iteration  17: n = 14396, mean = 14672 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13952, 14592, 14880, 15040, 16417, 24858, 43041, 52736 ns/op
# Warmup Iteration  18: n = 15151, mean = 14643 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13888, 14560, 14848, 15008, 16368, 24123, 27724, 28416 ns/op
# Warmup Iteration  19: n = 13790, mean = 14680 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13872, 14560, 14848, 15008, 17600, 24781, 46585, 53184 ns/op
# Warmup Iteration  20: n = 15630, mean = 14651 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13952, 14576, 14848, 15008, 16416, 23376, 40334, 53632 ns/op
Iteration   1: n = 29800, mean = 17545 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13872, 14576, 14848, 15024, 17568, 24211, 29058, 85065728 ns/op
Iteration   2: n = 29467, mean = 15352 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13872, 14576, 14848, 15008, 16384, 23842, 490222, 12058624 ns/op
Iteration   3: n = 30682, mean = 20156 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13888, 14576, 14848, 14944, 15232, 24352, 29138, 85065728 ns/op
Iteration   4: n = 31612, mean = 14601 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13872, 14560, 14816, 14896, 15136, 23161, 28299, 36864 ns/op
Iteration   5: n = 30243, mean = 16559 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13904, 14576, 14816, 14896, 15136, 23832, 29278, 59179008 ns/op

# Run progress: 20.00% complete, ETA 00:04:14
# Fork: 3 of 10
# Warmup Iteration   1: n = 1154, mean = 870819 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 150784, 180992, 336896, 2092032, 18844877, 39574241, 40173568, 40173568 ns/op
# Warmup Iteration   2: n = 2538, mean = 400023 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 90368, 99520, 141850, 161024, 12166922, 32967918, 44171264, 44171264 ns/op
# Warmup Iteration   3: n = 2499, mean = 411251 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 63936, 76416, 85376, 89984, 12189696, 38174720, 48103424, 48103424 ns/op
# Warmup Iteration   4: n = 6599, mean = 148596 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 18688, 25600, 61440, 63296, 205056, 28036301, 36110336, 36110336 ns/op
# Warmup Iteration   5: n = 12581, mean = 52302 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14992, 15840, 23424, 24000, 27136, 12025856, 110226217, 128450560 ns/op
# Warmup Iteration   6: n = 15386, mean = 33048 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15008, 15696, 16000, 16128, 18592, 37541, 81108396, 103809024 ns/op
# Warmup Iteration   7: n = 14250, mean = 21959 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14128, 14848, 15136, 15280, 17552, 188352, 55391698, 96206848 ns/op
# Warmup Iteration   8: n = 15193, mean = 15129 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14160, 14896, 15184, 15344, 17440, 24557, 775332, 1404928 ns/op
# Warmup Iteration   9: n = 14538, mean = 14930 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14208, 14864, 15120, 15216, 15440, 25135, 194026, 195072 ns/op
# Warmup Iteration  10: n = 15299, mean = 14997 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 14880, 15168, 15360, 17632, 24643, 31284, 32352 ns/op
# Warmup Iteration  11: n = 15301, mean = 14997 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14256, 14880, 15168, 15344, 17664, 23974, 29951, 32224 ns/op
# Warmup Iteration  12: n = 13809, mean = 14993 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 14880, 15152, 15328, 17664, 24684, 28462, 28608 ns/op
# Warmup Iteration  13: n = 15323, mean = 14898 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14144, 14864, 15104, 15200, 15452, 24534, 45403, 65472 ns/op
# Warmup Iteration  14: n = 14252, mean = 20897 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 14880, 15152, 15312, 16448, 24326, 48748814, 84803584 ns/op
# Warmup Iteration  15: n = 15317, mean = 14904 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 14864, 15120, 15200, 15456, 24129, 40033, 52864 ns/op
# Warmup Iteration  16: n = 15327, mean = 20447 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14208, 14864, 15104, 15200, 15472, 24480, 39757950, 85065728 ns/op
# Warmup Iteration  17: n = 14122, mean = 20984 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 14848, 15136, 15312, 16608, 24732, 50167772, 85327872 ns/op
# Warmup Iteration  18: n = 15183, mean = 21168 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 14848, 15136, 15296, 17600, 24611, 45406393, 94240768 ns/op
# Warmup Iteration  19: n = 14330, mean = 20836 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14208, 14848, 15102, 15184, 15451, 24512, 48384788, 85327872 ns/op
# Warmup Iteration  20: n = 15282, mean = 14932 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 14896, 15152, 15232, 15472, 24165, 27948, 28320 ns/op
Iteration   1: n = 27788, mean = 19196 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14144, 14848, 15136, 15296, 17632, 24576, 28742, 117571584 ns/op
Iteration   2: n = 29732, mean = 17772 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14208, 14848, 15104, 15184, 15440, 24442, 28569, 85721088 ns/op
Iteration   3: n = 28788, mean = 18684 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14144, 14848, 15122, 15296, 16480, 24142, 32969, 108396544 ns/op
Iteration   4: n = 29235, mean = 14894 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14160, 14864, 15104, 15184, 15440, 24489, 27842, 31648 ns/op
Iteration   5: n = 29356, mean = 14883 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 14848, 15088, 15184, 15456, 24510, 28153, 30752 ns/op

# Run progress: 30.00% complete, ETA 00:03:43
# Fork: 4 of 10
# Warmup Iteration   1: n = 1291, mean = 742787 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 135424, 171520, 342528, 443597, 16172974, 36334207, 36372480, 36372480 ns/op
# Warmup Iteration   2: n = 2930, mean = 347489 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 77184, 93824, 128640, 146944, 10589307, 33681113, 38076416, 38076416 ns/op
# Warmup Iteration   3: n = 4303, mean = 233606 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 29920, 55360, 75904, 79488, 264796, 36090413, 48103424, 48103424 ns/op
# Warmup Iteration   4: n = 10829, mean = 65286 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14848, 15904, 22496, 25632, 31126, 12181668, 111951610, 113246208 ns/op
# Warmup Iteration   5: n = 10336, mean = 32271 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 15504, 15776, 15872, 19284, 194298, 103356819, 106168320 ns/op
# Warmup Iteration   6: n = 14961, mean = 14937 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14128, 14832, 15056, 15152, 16342, 25228, 192393, 193536 ns/op
# Warmup Iteration   7: n = 10696, mean = 31465 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14368, 15504, 15792, 15888, 16896, 27675, 111776491, 119144448 ns/op
# Warmup Iteration   8: n = 15359, mean = 14814 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 14784, 14992, 15072, 15270, 23837, 27819, 28128 ns/op
# Warmup Iteration   9: n = 13753, mean = 14875 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14208, 14784, 15024, 15136, 18432, 24832, 42487, 50944 ns/op
# Warmup Iteration  10: n = 15398, mean = 14821 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 14784, 15024, 15120, 15392, 24064, 28440, 28768 ns/op
# Warmup Iteration  11: n = 15393, mean = 20369 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 14800, 15040, 15136, 15424, 24058, 39257112, 85196800 ns/op
# Warmup Iteration  12: n = 13966, mean = 14925 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 14784, 15024, 15168, 18624, 23853, 41439, 49792 ns/op
# Warmup Iteration  13: n = 15403, mean = 14824 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14256, 14784, 15024, 15104, 15376, 24428, 40318, 53184 ns/op
# Warmup Iteration  14: n = 13946, mean = 14824 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14256, 14784, 15008, 15072, 15264, 23633, 31667, 34496 ns/op
# Warmup Iteration  15: n = 15686, mean = 19138 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 14784, 14992, 15072, 15296, 24840, 29252515, 67764224 ns/op
# Warmup Iteration  16: n = 15307, mean = 14819 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14176, 14784, 15024, 15120, 15424, 23638, 27823, 27840 ns/op
# Warmup Iteration  17: n = 15400, mean = 20332 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14160, 14784, 15008, 15104, 15408, 23955, 39090346, 84934656 ns/op
# Warmup Iteration  18: n = 15806, mean = 18677 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 14768, 14992, 15072, 15296, 24531, 25600421, 61014016 ns/op
# Warmup Iteration  19: n = 13310, mean = 14799 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14144, 14752, 14976, 15056, 15264, 24642, 45889, 53888 ns/op
# Warmup Iteration  20: n = 15412, mean = 14919 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14208, 14768, 15024, 15152, 18656, 23644, 44682, 55040 ns/op
Iteration   1: n = 29398, mean = 17733 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14160, 14768, 15008, 15088, 15408, 23962, 28750, 86114304 ns/op
Iteration   2: n = 27930, mean = 25681 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14128, 14768, 15024, 15168, 18720, 24818, 84988894, 94240768 ns/op
Iteration   3: n = 29705, mean = 14928 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14160, 14784, 15024, 15168, 18688, 24348, 29111, 31744 ns/op
Iteration   4: n = 28634, mean = 21189 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14064, 14752, 14976, 15040, 15248, 24268, 11671958, 98041856 ns/op
Iteration   5: n = 29401, mean = 14801 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14160, 14752, 14992, 15088, 15376, 24166, 27402, 51520 ns/op

# Run progress: 40.00% complete, ETA 00:03:11
# Fork: 5 of 10
# Warmup Iteration   1: n = 1555, mean = 637445 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 125312, 164096, 286618, 379904, 16357130, 39507591, 48234496, 48234496 ns/op
# Warmup Iteration   2: n = 2889, mean = 349661 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 78464, 99072, 124800, 135424, 12140544, 33079296, 37027840, 37027840 ns/op
# Warmup Iteration   3: n = 3134, mean = 314141 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 36736, 65376, 78720, 81440, 12091392, 36175872, 36175872, 36175872 ns/op
# Warmup Iteration   4: n = 15463, mean = 64210 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 16176, 18944, 31296, 36160, 39383, 16156983, 60666256, 92930048 ns/op
# Warmup Iteration   5: n = 18839, mean = 29972 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15424, 17152, 17760, 17920, 20947, 195410, 22543139, 101318656 ns/op
# Warmup Iteration   6: n = 16685, mean = 31756 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 16272, 17216, 17568, 17728, 20032, 34209, 45217736, 98828288 ns/op
# Warmup Iteration   7: n = 11362, mean = 29685 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15280, 15968, 16928, 17120, 18124, 188207, 87802230, 98172928 ns/op
# Warmup Iteration   8: n = 14127, mean = 22535 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15392, 15984, 16256, 16352, 16832, 26060, 53975204, 91881472 ns/op
# Warmup Iteration   9: n = 13208, mean = 16116 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15360, 15984, 16256, 16384, 20032, 26143, 176247, 243200 ns/op
# Warmup Iteration  10: n = 14230, mean = 16132 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15376, 15968, 16256, 16416, 20160, 26267, 45491, 56512 ns/op
# Warmup Iteration  11: n = 14198, mean = 16126 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15376, 15968, 16242, 16384, 20192, 26099, 29400, 29440 ns/op
# Warmup Iteration  12: n = 13559, mean = 16019 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15312, 15968, 16240, 16352, 16800, 26332, 30131, 30336 ns/op
# Warmup Iteration  13: n = 14248, mean = 15984 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15280, 15936, 16192, 16288, 16576, 25856, 29323, 29568 ns/op
# Warmup Iteration  14: n = 14262, mean = 15974 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15344, 15936, 16192, 16272, 16512, 25457, 28802, 29184 ns/op
# Warmup Iteration  15: n = 13500, mean = 16096 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15360, 15936, 16240, 16384, 20128, 25728, 31985, 32512 ns/op
# Warmup Iteration  16: n = 14276, mean = 16087 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15312, 15920, 16208, 16368, 20128, 25559, 29385, 29536 ns/op
# Warmup Iteration  17: n = 14265, mean = 16096 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15344, 15936, 16224, 16384, 20192, 25079, 29030, 29344 ns/op
# Warmup Iteration  18: n = 13598, mean = 15965 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15360, 15920, 16192, 16304, 16704, 25178, 29582, 30112 ns/op
# Warmup Iteration  19: n = 14247, mean = 15987 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15328, 15936, 16208, 16320, 16721, 25080, 42987, 53440 ns/op
# Warmup Iteration  20: n = 14271, mean = 15978 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15328, 15920, 16176, 16256, 16640, 26176, 43910, 54464 ns/op
Iteration   1: n = 26826, mean = 26494 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15296, 15936, 16240, 16384, 20224, 26454, 85017834, 108396544 ns/op
Iteration   2: n = 27925, mean = 16485 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15264, 15952, 16208, 16288, 16608, 25730, 362118, 12042240 ns/op
Iteration   3: n = 27000, mean = 15958 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15328, 15920, 16176, 16256, 16544, 25728, 29562, 30048 ns/op
Iteration   4: n = 27503, mean = 25237 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15280, 15920, 16160, 16256, 16576, 25680, 84967372, 85196800 ns/op
Iteration   5: n = 28559, mean = 16089 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15296, 15920, 16208, 16368, 20192, 25760, 29945, 50304 ns/op

# Run progress: 50.00% complete, ETA 00:02:39
# Fork: 6 of 10
# Warmup Iteration   1: n = 1154, mean = 859046 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 145152, 175488, 329216, 1634304, 20465254, 35017359, 36241408, 36241408 ns/op
# Warmup Iteration   2: n = 2938, mean = 340529 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 76032, 98304, 142362, 151296, 11770921, 24280728, 26247168, 26247168 ns/op
# Warmup Iteration   3: n = 3049, mean = 317561 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 50304, 68096, 79872, 82496, 12075008, 35913728, 36241408, 36241408 ns/op
# Warmup Iteration   4: n = 6057, mean = 157170 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 18240, 30464, 59840, 61184, 214728, 24549392, 82706432, 82706432 ns/op
# Warmup Iteration   5: n = 15249, mean = 41680 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14496, 15968, 19040, 22176, 26016, 11448320, 61858611, 101580800 ns/op
# Warmup Iteration   6: n = 11628, mean = 20948 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14128, 14864, 16112, 16288, 19200, 192351, 17660148, 18644992 ns/op
# Warmup Iteration   7: n = 13693, mean = 28504 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14048, 14688, 14944, 15040, 15344, 24554, 95171012, 98172928 ns/op
# Warmup Iteration   8: n = 15483, mean = 20323 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14032, 14672, 14912, 15008, 18208, 23736, 39023556, 86376448 ns/op
# Warmup Iteration   9: n = 14041, mean = 14806 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14064, 14688, 14960, 15072, 18400, 22523, 43735, 53824 ns/op
# Warmup Iteration  10: n = 15475, mean = 14864 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14064, 14704, 14976, 15120, 18528, 23762, 194024, 194304 ns/op
# Warmup Iteration  11: n = 14017, mean = 14738 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14112, 14704, 14960, 15040, 15344, 23808, 28403, 28480 ns/op
# Warmup Iteration  12: n = 15107, mean = 21837 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14080, 14720, 14976, 15104, 18304, 24246, 52017747, 106299392 ns/op
# Warmup Iteration  13: n = 14787, mean = 20476 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14064, 14704, 14960, 15056, 15344, 24674, 44213954, 84803584 ns/op
# Warmup Iteration  14: n = 15492, mean = 14721 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14064, 14688, 14928, 15008, 15200, 23968, 30450, 33280 ns/op
# Warmup Iteration  15: n = 15479, mean = 14848 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14048, 14704, 14976, 15104, 18560, 23872, 40093, 52544 ns/op
# Warmup Iteration  16: n = 14037, mean = 14858 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14112, 14704, 14992, 15136, 18592, 24345, 29263, 29728 ns/op
# Warmup Iteration  17: n = 15561, mean = 20119 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13984, 14624, 14880, 14960, 15264, 23334, 37723474, 84934656 ns/op
# Warmup Iteration  18: n = 14102, mean = 20677 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13984, 14640, 14896, 14992, 15248, 24051, 49953779, 84672512 ns/op
# Warmup Iteration  19: n = 15585, mean = 14654 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14016, 14624, 14864, 14944, 15152, 23770, 29367, 30368 ns/op
# Warmup Iteration  20: n = 14973, mean = 14658 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13952, 14624, 14864, 14928, 15168, 23458, 27329, 27584 ns/op
Iteration   1: n = 30814, mean = 14644 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14000, 14624, 14848, 14928, 15152, 23134, 27640, 27936 ns/op
Iteration   2: n = 28121, mean = 24258 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13728, 14432, 14704, 14880, 16300, 24248, 85426333, 90570752 ns/op
Iteration   3: n = 30009, mean = 14477 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13792, 14432, 14688, 14768, 14992, 24415, 30687, 54272 ns/op
Iteration   4: n = 29525, mean = 14478 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13744, 14432, 14688, 14768, 15008, 23951, 30521, 49664 ns/op
Iteration   5: n = 30326, mean = 23808 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 13856, 14448, 14720, 14864, 18336, 23926, 82285023, 109314048 ns/op

# Run progress: 60.00% complete, ETA 00:02:07
# Fork: 7 of 10
# Warmup Iteration   1: n = 1398, mean = 711738 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 138752, 162816, 298598, 397210, 19114885, 36832215, 37224448, 37224448 ns/op
# Warmup Iteration   2: n = 2152, mean = 462960 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 79488, 97856, 130522, 149338, 12515082, 36413309, 40632320, 40632320 ns/op
# Warmup Iteration   3: n = 3167, mean = 317827 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 56192, 70016, 77952, 80333, 10365829, 35780035, 39256064, 39256064 ns/op
# Warmup Iteration   4: n = 6227, mean = 149021 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 18368, 27392, 56128, 57600, 197929, 29318840, 95944704, 95944704 ns/op
# Warmup Iteration   5: n = 14976, mean = 41856 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14688, 15664, 20576, 24640, 26592, 9361867, 71734192, 101187584 ns/op
# Warmup Iteration   6: n = 15658, mean = 27712 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14464, 15488, 15794, 15936, 19674, 195189, 19592022, 24051712 ns/op
# Warmup Iteration   7: n = 14376, mean = 21394 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14256, 14912, 15184, 15280, 15680, 24540, 51413199, 90177536 ns/op
# Warmup Iteration   8: n = 14899, mean = 15074 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14160, 14928, 15216, 15360, 18912, 23907, 30643, 33152 ns/op
# Warmup Iteration   9: n = 14505, mean = 26863 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14256, 14912, 15200, 15360, 18880, 24464, 85294711, 85590016 ns/op
# Warmup Iteration  10: n = 15060, mean = 14966 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14304, 14912, 15184, 15264, 15504, 24666, 110086, 194560 ns/op
# Warmup Iteration  11: n = 14606, mean = 23493 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 14896, 15168, 15248, 15488, 24274, 67449188, 125042688 ns/op
# Warmup Iteration  12: n = 13411, mean = 14954 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 14912, 15184, 15296, 15584, 23896, 51348, 51392 ns/op
# Warmup Iteration  13: n = 15269, mean = 15063 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14272, 14912, 15216, 15360, 18880, 24042, 31049, 34304 ns/op
# Warmup Iteration  14: n = 15264, mean = 14957 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 14912, 15184, 15280, 15568, 24295, 28155, 28896 ns/op
# Warmup Iteration  15: n = 13855, mean = 27208 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 14912, 15168, 15248, 15479, 23813, 85045176, 85196800 ns/op
# Warmup Iteration  16: n = 15592, mean = 15068 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14272, 14928, 15216, 15360, 18880, 23501, 27505, 28096 ns/op
# Warmup Iteration  17: n = 13446, mean = 14900 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 14864, 15120, 15200, 15448, 24167, 27726, 27936 ns/op
# Warmup Iteration  18: n = 15301, mean = 15035 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14272, 14880, 15184, 15344, 18912, 23830, 28282, 28672 ns/op
# Warmup Iteration  19: n = 15302, mean = 14920 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 14880, 15136, 15216, 15520, 24528, 36097, 43072 ns/op
# Warmup Iteration  20: n = 13100, mean = 15002 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 14880, 15152, 15248, 15504, 24410, 772001, 1093632 ns/op
Iteration   1: n = 29957, mean = 23541 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 14880, 15168, 15312, 18944, 23777, 84674164, 85196800 ns/op
Iteration   2: n = 30083, mean = 18147 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14160, 14896, 15152, 15232, 15488, 24152, 58751, 84803584 ns/op
Iteration   3: n = 29209, mean = 17928 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 14880, 15168, 15328, 18880, 23897, 32778, 84934656 ns/op
Iteration   4: n = 29177, mean = 17853 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14144, 14880, 15136, 15216, 15424, 23887, 27457, 85983232 ns/op
Iteration   5: n = 29206, mean = 14894 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14144, 14864, 15120, 15200, 15424, 23929, 28651, 35264 ns/op

# Run progress: 70.00% complete, ETA 00:01:35
# Fork: 8 of 10
# Warmup Iteration   1: n = 1310, mean = 759508 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 144384, 168448, 329677, 777574, 16243917, 38860358, 40042496, 40042496 ns/op
# Warmup Iteration   2: n = 2488, mean = 404087 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 83968, 101248, 143872, 155674, 12156928, 29367894, 32473088, 32473088 ns/op
# Warmup Iteration   3: n = 2759, mean = 350754 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 59648, 73344, 82176, 87168, 12114330, 37085512, 40239104, 40239104 ns/op
# Warmup Iteration   4: n = 11532, mean = 84571 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15936, 19936, 33920, 39552, 62784, 24051712, 88531193, 96206848 ns/op
# Warmup Iteration   5: n = 19097, mean = 31298 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15744, 16736, 17088, 17216, 20737, 191182, 30620916, 132907008 ns/op
# Warmup Iteration   6: n = 11753, mean = 26560 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15040, 15840, 16272, 16544, 18811, 188542, 89979978, 106561536 ns/op
# Warmup Iteration   7: n = 14201, mean = 15836 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15008, 15760, 16016, 16096, 16336, 26130, 197098, 199680 ns/op
# Warmup Iteration   8: n = 13019, mean = 15770 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15008, 15728, 15984, 16064, 16320, 25789, 29533, 29920 ns/op
# Warmup Iteration   9: n = 14407, mean = 15836 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15152, 15792, 16032, 16112, 16320, 26768, 33398, 33920 ns/op
# Warmup Iteration  10: n = 14398, mean = 15828 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15024, 15776, 16032, 16112, 16384, 26067, 34420, 36672 ns/op
# Warmup Iteration  11: n = 12586, mean = 15826 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15184, 15792, 16048, 16112, 16304, 25666, 30965, 31040 ns/op
# Warmup Iteration  12: n = 14411, mean = 21706 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15088, 15776, 16016, 16096, 16288, 25214, 47547633, 85065728 ns/op
# Warmup Iteration  13: n = 14244, mean = 22504 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14992, 15776, 16032, 16112, 16304, 25441, 54851447, 95289344 ns/op
# Warmup Iteration  14: n = 13249, mean = 22219 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15120, 15760, 16000, 16080, 16280, 25528, 57436693, 85065728 ns/op
# Warmup Iteration  15: n = 14402, mean = 15816 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15104, 15776, 16032, 16112, 16304, 25670, 29313, 29792 ns/op
# Warmup Iteration  16: n = 14587, mean = 20865 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15104, 15776, 16016, 16096, 16290, 25274, 39950407, 73793536 ns/op
# Warmup Iteration  17: n = 13083, mean = 15801 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15136, 15760, 16000, 16080, 16272, 25373, 47939, 55232 ns/op
# Warmup Iteration  18: n = 14366, mean = 15787 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15056, 15760, 16000, 16080, 16272, 24617, 28598, 28864 ns/op
# Warmup Iteration  19: n = 14443, mean = 15789 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15024, 15744, 15984, 16080, 16304, 25405, 43699, 55616 ns/op
# Warmup Iteration  20: n = 13254, mean = 15800 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15152, 15760, 16000, 16080, 16272, 25528, 47277, 56256 ns/op
Iteration   1: n = 28870, mean = 15790 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15136, 15760, 16000, 16064, 16272, 25316, 29522, 30112 ns/op
Iteration   2: n = 27027, mean = 16519 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14992, 15776, 16048, 16176, 19648, 25535, 1266281, 12025856 ns/op
Iteration   3: n = 28542, mean = 15792 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15056, 15760, 16000, 16080, 16297, 25260, 28367, 29120 ns/op
Iteration   4: n = 28802, mean = 15801 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15040, 15760, 16016, 16096, 16288, 25613, 28475, 38144 ns/op
Iteration   5: n = 27637, mean = 15808 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15136, 15776, 16016, 16080, 16304, 25571, 36036, 56640 ns/op

# Run progress: 80.00% complete, ETA 00:01:03
# Fork: 9 of 10
# Warmup Iteration   1: n = 1702, mean = 578559 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 122752, 162816, 328397, 371200, 13070008, 26932249, 29949952, 29949952 ns/op
# Warmup Iteration   2: n = 2903, mean = 345084 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 75648, 94464, 123136, 127718, 12771000, 33254801, 36175872, 36175872 ns/op
# Warmup Iteration   3: n = 3106, mean = 314034 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 48064, 61952, 73856, 77184, 11467489, 36871143, 42008576, 42008576 ns/op
# Warmup Iteration   4: n = 16121, mean = 60165 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15216, 20736, 27904, 42624, 49088, 12455018, 53306786, 98041856 ns/op
# Warmup Iteration   5: n = 18664, mean = 32705 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14480, 15840, 16144, 16256, 19520, 192256, 105102901, 108396544 ns/op
# Warmup Iteration   6: n = 11500, mean = 35510 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14608, 15840, 16640, 16736, 19552, 4557906, 80099577, 90177536 ns/op
# Warmup Iteration   7: n = 14628, mean = 15462 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14432, 15280, 15552, 15680, 17911, 25980, 198732, 199680 ns/op
# Warmup Iteration   8: n = 12956, mean = 15294 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14464, 15264, 15520, 15600, 15856, 24673, 46864, 53440 ns/op
# Warmup Iteration   9: n = 14860, mean = 15337 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14608, 15312, 15568, 15648, 15872, 24370, 42244, 54144 ns/op
# Warmup Iteration  10: n = 13975, mean = 15386 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14592, 15312, 15568, 15648, 15904, 25896, 195747, 197376 ns/op
# Warmup Iteration  11: n = 14866, mean = 15335 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14480, 15312, 15568, 15648, 15840, 24397, 43578, 56832 ns/op
# Warmup Iteration  12: n = 14858, mean = 15345 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14576, 15312, 15568, 15648, 15872, 24576, 30521, 30816 ns/op
# Warmup Iteration  13: n = 13489, mean = 15338 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14576, 15312, 15584, 15680, 15936, 24336, 28547, 28960 ns/op
# Warmup Iteration  14: n = 14858, mean = 15344 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14496, 15312, 15568, 15648, 15856, 24421, 28088, 28352 ns/op
# Warmup Iteration  15: n = 14861, mean = 15350 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14608, 15312, 15584, 15680, 15952, 25152, 31861, 32032 ns/op
# Warmup Iteration  16: n = 13690, mean = 20639 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14544, 15312, 15600, 15696, 16017, 24896, 45584597, 72220672 ns/op
# Warmup Iteration  17: n = 14882, mean = 21027 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14544, 15296, 15536, 15616, 15843, 24740, 43475314, 84934656 ns/op
# Warmup Iteration  18: n = 14207, mean = 15454 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14608, 15296, 15584, 15744, 19392, 25349, 41612, 51200 ns/op
# Warmup Iteration  19: n = 14877, mean = 15331 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14608, 15296, 15552, 15632, 15872, 25136, 42548, 55488 ns/op
# Warmup Iteration  20: n = 14865, mean = 21055 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14608, 15296, 15568, 15648, 15856, 24740, 43687133, 85065728 ns/op
Iteration   1: n = 27862, mean = 15343 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14528, 15312, 15568, 15648, 15920, 24772, 30485, 54976 ns/op
Iteration   2: n = 27133, mean = 16669 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14496, 15312, 15584, 15744, 19392, 25152, 9758317, 12058624 ns/op
Iteration   3: n = 29552, mean = 15467 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14512, 15312, 15584, 15760, 19552, 25565, 29380, 53952 ns/op
Iteration   4: n = 27963, mean = 15335 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14496, 15296, 15552, 15632, 15888, 25120, 29089, 29344 ns/op
Iteration   5: n = 28068, mean = 15307 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14528, 15264, 15536, 15648, 15968, 24768, 29286, 34944 ns/op

# Run progress: 90.00% complete, ETA 00:00:31
# Fork: 10 of 10
# Warmup Iteration   1: n = 1398, mean = 710577 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 147968, 164864, 292506, 712346, 18227200, 34215363, 36438016, 36438016 ns/op
# Warmup Iteration   2: n = 2554, mean = 393452 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 82432, 100992, 143872, 152064, 12517376, 27285750, 37355520, 37355520 ns/op
# Warmup Iteration   3: n = 2750, mean = 369613 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 45696, 72832, 81792, 85376, 12132188, 40533623, 56098816, 56098816 ns/op
# Warmup Iteration   4: n = 8863, mean = 111669 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 18240, 23104, 45862, 47168, 60915, 24084480, 111411200, 111411200 ns/op
# Warmup Iteration   5: n = 19848, mean = 28440 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14960, 15616, 16064, 19072, 20384, 192155, 19500148, 100925440 ns/op
# Warmup Iteration   6: n = 12265, mean = 25630 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14336, 15040, 15392, 15584, 18891, 189304, 73786189, 91881472 ns/op
# Warmup Iteration   7: n = 14504, mean = 15239 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14304, 15024, 15312, 15472, 19136, 25534, 192726, 195840 ns/op
# Warmup Iteration   8: n = 13766, mean = 15058 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14320, 15024, 15280, 15360, 15568, 24709, 29290, 29664 ns/op
# Warmup Iteration   9: n = 15167, mean = 15062 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14368, 15008, 15264, 15344, 15536, 20458, 158165, 292864 ns/op
# Warmup Iteration  10: n = 13737, mean = 15131 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14384, 15008, 15296, 15456, 17696, 24872, 130515, 189952 ns/op
# Warmup Iteration  11: n = 15176, mean = 20633 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14272, 14992, 15248, 15328, 15520, 24399, 41041812, 85065728 ns/op
# Warmup Iteration  12: n = 15175, mean = 15034 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14352, 14992, 15248, 15328, 15556, 24853, 29119, 29632 ns/op
# Warmup Iteration  13: n = 13287, mean = 15046 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14384, 15008, 15264, 15344, 15600, 25732, 28941, 29120 ns/op
# Warmup Iteration  14: n = 15162, mean = 15034 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14416, 14992, 15248, 15328, 15574, 24523, 28071, 28352 ns/op
# Warmup Iteration  15: n = 14634, mean = 15078 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14416, 15008, 15280, 15424, 16704, 23901, 27677, 27840 ns/op
# Warmup Iteration  16: n = 15179, mean = 15117 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14384, 15008, 15296, 15440, 17728, 24762, 29450, 30080 ns/op
# Warmup Iteration  17: n = 15243, mean = 20541 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 14944, 15200, 15264, 15488, 24080, 40423618, 84934656 ns/op
# Warmup Iteration  18: n = 13821, mean = 14966 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14288, 14928, 15184, 15264, 15472, 24147, 28500, 28512 ns/op
# Warmup Iteration  19: n = 14606, mean = 14964 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 14928, 15184, 15264, 15488, 24416, 28222, 28384 ns/op
# Warmup Iteration  20: n = 15025, mean = 14987 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14304, 14944, 15184, 15264, 15488, 25565, 28590, 28960 ns/op
Iteration   1: n = 30369, mean = 17991 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14176, 14928, 15184, 15248, 15456, 24657, 28625, 92143616 ns/op
Iteration   2: n = 28553, mean = 15433 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14080, 14928, 15216, 15360, 16608, 25038, 59661, 12025856 ns/op
Iteration   3: n = 28748, mean = 15007 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14208, 14928, 15216, 15360, 16576, 24384, 28556, 50944 ns/op
Iteration   4: n = 29193, mean = 24697 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14352, 14944, 15216, 15360, 16576, 24314, 85239058, 111804416 ns/op
Iteration   5: n = 30421, mean = 15042 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14320, 14944, 15216, 15360, 17504, 24416, 28284, 32512 ns/op

Result "externalizableWithCBytes":
  17623.435 ±(99.9%) 1270.530 ns/op [Average]
  (min, avg, max) = (13728.000, 17623.435, 117571584.000), stdev = 464787.149
  CI (99.9%): [16352.905, 18893.966] (assumes normal distribution)
  Samples, N = 1449008
        mean =  17623.435 ±(99.9%) 1270.530 ns/op
         min =  13728.000 ns/op
  p( 0.0000) =  13728.000 ns/op
  p(50.0000) =  14960.000 ns/op
  p(90.0000) =  15888.000 ns/op
  p(95.0000) =  16048.000 ns/op
  p(99.0000) =  18496.000 ns/op
  p(99.9000) =  24544.000 ns/op
  p(99.9900) =  29347.171 ns/op
  p(99.9990) = 85721088.000 ns/op
  p(99.9999) = 114982073.663 ns/op
         max = 117571584.000 ns/op

# Run complete. Total time: 00:05:17

Benchmark                                  Mode      Cnt      Score      Error  Units
ComparisonMain.externalizableWithCBytes  sample  1449008  17623.435 ± 1270.530  ns/op
