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=7533 -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.externalizable

# Run progress: 0.00% complete, ETA 00:05:00
# Fork: 1 of 10
# Warmup Iteration   1: n = 1398, mean = 711750 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 142592, 173824, 259379, 2070323, 16816865, 32345063, 36175872, 36175872 ns/op
# Warmup Iteration   2: n = 2563, mean = 400659 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 80640, 99072, 132864, 141466, 12174623, 35317875, 48168960, 48168960 ns/op
# Warmup Iteration   3: n = 4481, mean = 221964 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 18048, 54592, 78976, 82176, 1438720, 36144284, 40173568, 40173568 ns/op
# Warmup Iteration   4: n = 12743, mean = 57200 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15600, 16640, 21504, 21952, 25234, 12062818, 106419873, 112066560 ns/op
# Warmup Iteration   5: n = 16825, mean = 32450 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15168, 16896, 17280, 17376, 20128, 195607, 46790358, 108658688 ns/op
# Warmup Iteration   6: n = 12866, mean = 26607 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15040, 15808, 16112, 16208, 19392, 30426, 97851981, 137101312 ns/op
# Warmup Iteration   7: n = 10196, mean = 26496 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15200, 16768, 17088, 17248, 20960, 33551, 12025856, 12025856 ns/op
# Warmup Iteration   8: n = 14257, mean = 15738 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14976, 15680, 15968, 16080, 17376, 25479, 62743, 86656 ns/op
# Warmup Iteration   9: n = 12382, mean = 15812 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14992, 15664, 15968, 16144, 18464, 26051, 191219, 192256 ns/op
# Warmup Iteration  10: n = 14536, mean = 15732 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14992, 15664, 15968, 16128, 17472, 25036, 30560, 30720 ns/op
# Warmup Iteration  11: n = 13608, mean = 15714 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15008, 15680, 15936, 16016, 16288, 26182, 32068, 32576 ns/op
# Warmup Iteration  12: n = 14507, mean = 15755 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15008, 15680, 15984, 16144, 17504, 25150, 29325, 29440 ns/op
# Warmup Iteration  13: n = 14229, mean = 24069 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15024, 15696, 16000, 16128, 18272, 25819, 68079307, 117964800 ns/op
# Warmup Iteration  14: n = 14469, mean = 21679 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15008, 15728, 16032, 16176, 18432, 25303, 46764462, 84541440 ns/op
# Warmup Iteration  15: n = 14270, mean = 15705 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14944, 15664, 15936, 16016, 16272, 25559, 34763, 37824 ns/op
# Warmup Iteration  16: n = 14449, mean = 15732 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15040, 15696, 15968, 16056, 16304, 25490, 30232, 30688 ns/op
# Warmup Iteration  17: n = 14380, mean = 21691 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15104, 15776, 16048, 16128, 16352, 25856, 47590747, 84672512 ns/op
# Warmup Iteration  18: n = 14413, mean = 15830 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15136, 15792, 16080, 16176, 16480, 25585, 29653, 30048 ns/op
# Warmup Iteration  19: n = 14469, mean = 15772 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15040, 15728, 16016, 16112, 16416, 25634, 30635, 31136 ns/op
# Warmup Iteration  20: n = 13090, mean = 15808 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15040, 15776, 16048, 16128, 16368, 25655, 29112, 29824 ns/op
Iteration   1: n = 27067, mean = 15756 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14976, 15712, 15984, 16080, 16304, 25877, 29739, 29984 ns/op
Iteration   2: n = 27467, mean = 15753 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15024, 15712, 16000, 16096, 16416, 25316, 30672, 56000 ns/op
Iteration   3: n = 28879, mean = 18717 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15024, 15760, 16032, 16112, 16304, 25480, 30504, 84541440 ns/op
Iteration   4: n = 29000, mean = 21684 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14976, 15696, 16016, 16176, 19712, 25888, 8475933, 84541440 ns/op
Iteration   5: n = 27446, mean = 19273 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14992, 15712, 16000, 16080, 16384, 25781, 29977, 96731136 ns/op

# Run progress: 10.00% complete, ETA 00:04:50
# Fork: 2 of 10
# Warmup Iteration   1: n = 1870, mean = 536114 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 116224, 159744, 237286, 297088, 12761498, 28894888, 32833536, 32833536 ns/op
# Warmup Iteration   2: n = 2652, mean = 381125 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 78720, 100096, 115712, 122925, 12139561, 37298045, 45088768, 45088768 ns/op
# Warmup Iteration   3: n = 3045, mean = 326982 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 37312, 68608, 78208, 80896, 12100239, 36107321, 36175872, 36175872 ns/op
# Warmup Iteration   4: n = 14434, mean = 68664 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15248, 18176, 34688, 35776, 39722, 16311992, 78175961, 111804416 ns/op
# Warmup Iteration   5: n = 17753, mean = 37291 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15200, 16112, 16480, 16608, 19759, 192319, 101919385, 131596288 ns/op
# Warmup Iteration   6: n = 13020, mean = 27314 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14688, 15424, 15760, 16128, 18233, 29149, 98954140, 137887744 ns/op
# Warmup Iteration   7: n = 13137, mean = 22937 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14752, 15440, 15760, 15890, 17184, 25828, 66347214, 96600064 ns/op
# Warmup Iteration   8: n = 14722, mean = 15518 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14768, 15456, 15728, 15824, 16096, 24928, 195235, 195840 ns/op
# Warmup Iteration   9: n = 13203, mean = 15615 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14816, 15472, 15776, 15936, 18272, 25011, 193603, 197376 ns/op
# Warmup Iteration  10: n = 14729, mean = 15509 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14768, 15472, 15744, 15824, 16048, 24675, 44436, 58240 ns/op
# Warmup Iteration  11: n = 13381, mean = 21823 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14720, 15456, 15728, 15808, 16048, 25120, 56132806, 84803584 ns/op
# Warmup Iteration  12: n = 14754, mean = 15564 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14752, 15456, 15744, 15904, 18368, 25054, 30890, 31392 ns/op
# Warmup Iteration  13: n = 13017, mean = 15563 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14832, 15488, 15792, 15968, 17280, 24832, 27896, 28736 ns/op
# Warmup Iteration  14: n = 14726, mean = 21265 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14800, 15472, 15744, 15824, 16064, 24512, 44730952, 84803584 ns/op
# Warmup Iteration  15: n = 13566, mean = 20697 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14656, 15456, 15776, 15914, 18315, 25173, 44699494, 69468160 ns/op
# Warmup Iteration  16: n = 14749, mean = 15612 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14784, 15456, 15760, 15904, 19616, 24808, 31109, 33024 ns/op
# Warmup Iteration  17: n = 13808, mean = 15605 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14784, 15440, 15760, 15904, 19712, 25196, 31255, 31584 ns/op
# Warmup Iteration  18: n = 14770, mean = 15478 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14736, 15440, 15712, 15792, 16032, 25711, 40818, 51520 ns/op
# Warmup Iteration  19: n = 13969, mean = 24414 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14832, 15456, 15744, 15824, 16112, 25378, 75095914, 124518400 ns/op
# Warmup Iteration  20: n = 14597, mean = 15489 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14752, 15440, 15728, 15824, 16128, 24922, 42966, 52736 ns/op
Iteration   1: n = 28131, mean = 18518 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14704, 15456, 15744, 15840, 16112, 24956, 33286, 84934656 ns/op
Iteration   2: n = 25902, mean = 16576 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14768, 15504, 15792, 15888, 18880, 25097, 5988438, 12042240 ns/op
Iteration   3: n = 28057, mean = 15677 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14832, 15520, 15824, 15984, 19648, 24768, 29221, 49152 ns/op
Iteration   4: n = 29090, mean = 24404 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14768, 15504, 15792, 15888, 16208, 24791, 69646746, 104988672 ns/op
Iteration   5: n = 29152, mean = 15679 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14816, 15536, 15840, 16000, 19616, 24475, 29023, 32448 ns/op

# Run progress: 20.00% complete, ETA 00:04:16
# Fork: 3 of 10
# Warmup Iteration   1: n = 1278, mean = 787672 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 139776, 171008, 255539, 444160, 21150433, 37028626, 40173568, 40173568 ns/op
# Warmup Iteration   2: n = 3161, mean = 321799 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 81408, 97792, 135168, 144896, 10896015, 24814354, 33488896, 33488896 ns/op
# Warmup Iteration   3: n = 4148, mean = 225022 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 26048, 55168, 78592, 80640, 465603, 29815308, 41615360, 41615360 ns/op
# Warmup Iteration   4: n = 11722, mean = 59218 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15072, 16016, 23744, 25088, 28921, 12079546, 94931032, 99876864 ns/op
# Warmup Iteration   5: n = 18880, mean = 25414 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14592, 16000, 16320, 16416, 17894, 192603, 15623584, 16220160 ns/op
# Warmup Iteration   6: n = 12570, mean = 20574 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14448, 15152, 15488, 15632, 17769, 27136, 49173843, 66125824 ns/op
# Warmup Iteration   7: n = 14960, mean = 15340 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14496, 15200, 15648, 16176, 17920, 24640, 28241, 28320 ns/op
# Warmup Iteration   8: n = 13537, mean = 27926 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14480, 15216, 15840, 16288, 18004, 24679, 84956886, 85327872 ns/op
# Warmup Iteration   9: n = 14899, mean = 15380 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14512, 15232, 15712, 16096, 19008, 25549, 116003, 194560 ns/op
# Warmup Iteration  10: n = 13547, mean = 15293 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14592, 15216, 15648, 16016, 16416, 24573, 36082, 39488 ns/op
# Warmup Iteration  11: n = 14928, mean = 15289 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14560, 15216, 15616, 15984, 16416, 24135, 29952, 31072 ns/op
# Warmup Iteration  12: n = 11970, mean = 17329 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14576, 15232, 15712, 16048, 16480, 25395, 12052165, 12058624 ns/op
# Warmup Iteration  13: n = 15065, mean = 20774 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14480, 15104, 15408, 15488, 15717, 24035, 41856970, 84803584 ns/op
# Warmup Iteration  14: n = 14085, mean = 21221 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14448, 15120, 15440, 15616, 17600, 24711, 50087300, 84672512 ns/op
# Warmup Iteration  15: n = 15039, mean = 15230 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14480, 15152, 15472, 15648, 16864, 24892, 31419, 34048 ns/op
# Warmup Iteration  16: n = 13346, mean = 24466 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14416, 15104, 15392, 15488, 15712, 24692, 82767613, 124387328 ns/op
# Warmup Iteration  17: n = 15308, mean = 19671 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14448, 15136, 15408, 15504, 15744, 23894, 32357812, 68943872 ns/op
# Warmup Iteration  18: n = 13670, mean = 21461 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14496, 15120, 15440, 15616, 19072, 24552, 53524556, 84541440 ns/op
# Warmup Iteration  19: n = 15062, mean = 15162 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14496, 15120, 15424, 15520, 15808, 24414, 27679, 29056 ns/op
# Warmup Iteration  20: n = 13731, mean = 15168 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14464, 15120, 15424, 15520, 15867, 24474, 29015, 29696 ns/op
Iteration   1: n = 29007, mean = 15870 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14416, 15120, 15392, 15488, 15744, 24512, 897388, 12025856 ns/op
Iteration   2: n = 29005, mean = 15977 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14464, 15136, 15408, 15504, 15744, 24352, 1169193, 12042240 ns/op
Iteration   3: n = 29094, mean = 18188 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14480, 15136, 15456, 15632, 19072, 24736, 28518, 84541440 ns/op
Iteration   4: n = 29093, mean = 15167 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14352, 15120, 15424, 15536, 15793, 24026, 28995, 36096 ns/op
Iteration   5: n = 29006, mean = 19177 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14464, 15120, 15392, 15488, 15728, 23839, 29235, 116785152 ns/op

# Run progress: 30.00% complete, ETA 00:03:44
# Fork: 4 of 10
# Warmup Iteration   1: n = 1893, mean = 535282 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 115072, 155392, 239514, 302490, 12272927, 26599293, 39518208, 39518208 ns/op
# Warmup Iteration   2: n = 2790, mean = 364013 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 78720, 100096, 116224, 125370, 12156928, 27001881, 36175872, 36175872 ns/op
# Warmup Iteration   3: n = 2859, mean = 352309 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 40000, 67328, 77184, 81024, 12156928, 36175872, 44105728, 44105728 ns/op
# Warmup Iteration   4: n = 11154, mean = 87893 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14832, 22336, 37696, 38336, 44701, 22227681, 82831213, 89128960 ns/op
# Warmup Iteration   5: n = 17782, mean = 30619 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14752, 16096, 16832, 16928, 20133, 1480659, 34564198, 92405760 ns/op
# Warmup Iteration   6: n = 19411, mean = 32792 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14384, 15312, 16304, 16640, 18364, 28841, 96899799, 135266304 ns/op
# Warmup Iteration   7: n = 14549, mean = 15076 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14112, 14928, 15280, 15360, 15736, 28110, 192652, 192768 ns/op
# Warmup Iteration   8: n = 13449, mean = 15044 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 14992, 15312, 15392, 15696, 25042, 145573, 195584 ns/op
# Warmup Iteration   9: n = 14943, mean = 15092 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 14992, 15312, 15376, 15616, 23815, 548092, 886784 ns/op
# Warmup Iteration  10: n = 15504, mean = 15007 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 14976, 15296, 15376, 15600, 24528, 29019, 29248 ns/op
# Warmup Iteration  11: n = 13971, mean = 15023 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14160, 14992, 15328, 15392, 15664, 24897, 29339, 29568 ns/op
# Warmup Iteration  12: n = 15542, mean = 15003 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14272, 14960, 15296, 15376, 15584, 24157, 32548, 36096 ns/op
# Warmup Iteration  13: n = 13125, mean = 14999 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 14960, 15296, 15360, 15536, 24344, 28350, 28480 ns/op
# Warmup Iteration  14: n = 15190, mean = 20576 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14208, 14976, 15312, 15408, 15664, 24897, 40607780, 84410368 ns/op
# Warmup Iteration  15: n = 13566, mean = 15005 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14256, 14976, 15296, 15376, 15557, 24695, 34228, 37504 ns/op
# Warmup Iteration  16: n = 15196, mean = 14988 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14256, 14960, 15280, 15360, 15536, 24289, 28442, 29440 ns/op
# Warmup Iteration  17: n = 13570, mean = 15016 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14256, 14976, 15312, 15392, 15600, 24763, 29595, 30144 ns/op
# Warmup Iteration  18: n = 14613, mean = 15017 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 14992, 15312, 15392, 15616, 24889, 50546, 68736 ns/op
# Warmup Iteration  19: n = 13843, mean = 21555 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14256, 14976, 15328, 15472, 18112, 24778, 55121070, 89522176 ns/op
# Warmup Iteration  20: n = 14744, mean = 15029 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14256, 14992, 15328, 15408, 15616, 24800, 29438, 29696 ns/op
Iteration   1: n = 28783, mean = 17967 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14208, 14992, 15328, 15408, 15616, 24933, 31961, 84803584 ns/op
Iteration   2: n = 27388, mean = 19380 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 14944, 15328, 15504, 18464, 24391, 12030134, 84934656 ns/op
Iteration   3: n = 28771, mean = 14954 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14208, 14928, 15280, 15360, 15552, 23788, 28152, 28416 ns/op
Iteration   4: n = 27870, mean = 14957 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14160, 14912, 15280, 15360, 15568, 24612, 28686, 28960 ns/op
Iteration   5: n = 28810, mean = 14960 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14208, 14912, 15264, 15344, 15552, 24204, 28763, 36160 ns/op

# Run progress: 40.00% complete, ETA 00:03:11
# Fork: 5 of 10
# Warmup Iteration   1: n = 1886, mean = 528959 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 117632, 178688, 241920, 278682, 12341903, 28269347, 28966912, 28966912 ns/op
# Warmup Iteration   2: n = 2719, mean = 358493 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 77184, 99840, 118016, 124672, 12009472, 35892756, 39190528, 39190528 ns/op
# Warmup Iteration   3: n = 3096, mean = 308457 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 56320, 64928, 76544, 78592, 10835231, 36169515, 52166656, 52166656 ns/op
# Warmup Iteration   4: n = 7514, mean = 132485 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 19904, 28640, 56640, 57344, 83251, 28672164, 96600064, 96600064 ns/op
# Warmup Iteration   5: n = 19363, mean = 29245 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15696, 16800, 17152, 17280, 20448, 191395, 29470805, 33030144 ns/op
# Warmup Iteration   6: n = 18515, mean = 30399 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15136, 16032, 16736, 16928, 19136, 34368, 81182012, 97255424 ns/op
# Warmup Iteration   7: n = 13976, mean = 23153 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15168, 16000, 16288, 16416, 17824, 30971, 58575781, 97124352 ns/op
# Warmup Iteration   8: n = 12790, mean = 16083 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15264, 16064, 16320, 16384, 16608, 25645, 47158, 53696 ns/op
# Warmup Iteration   9: n = 13796, mean = 16169 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15120, 16016, 16336, 16480, 20032, 25734, 47274, 56192 ns/op
# Warmup Iteration  10: n = 12487, mean = 16099 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15232, 16048, 16304, 16384, 16608, 25282, 193673, 195584 ns/op
# Warmup Iteration  11: n = 14228, mean = 21985 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15232, 16032, 16304, 16384, 16640, 24596, 48725308, 84410368 ns/op
# Warmup Iteration  12: n = 14248, mean = 16031 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15040, 16000, 16272, 16368, 16672, 25768, 45014, 51840 ns/op
# Warmup Iteration  13: n = 12383, mean = 23001 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15184, 16048, 16336, 16480, 20032, 25223, 64293909, 84410368 ns/op
# Warmup Iteration  14: n = 14228, mean = 16047 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15152, 16016, 16288, 16368, 16608, 25275, 29296, 29472 ns/op
# Warmup Iteration  15: n = 12634, mean = 16046 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15168, 16016, 16304, 16384, 16640, 25210, 29287, 29312 ns/op
# Warmup Iteration  16: n = 14695, mean = 16060 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15136, 16032, 16304, 16384, 16609, 26131, 31054, 31520 ns/op
# Warmup Iteration  17: n = 13510, mean = 22765 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15216, 16064, 16320, 16384, 16672, 25710, 58526382, 90177536 ns/op
# Warmup Iteration  18: n = 14238, mean = 21984 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15232, 16016, 16288, 16368, 16576, 25697, 48792449, 84672512 ns/op
# Warmup Iteration  19: n = 14232, mean = 16068 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15104, 16032, 16304, 16384, 16768, 25785, 29465, 29600 ns/op
# Warmup Iteration  20: n = 12578, mean = 21591 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15088, 16032, 16304, 16384, 16608, 25691, 51656910, 69599232 ns/op
Iteration   1: n = 27243, mean = 18952 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15136, 16048, 16352, 16512, 18688, 25496, 36039, 76546048 ns/op
Iteration   2: n = 27470, mean = 16538 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15152, 16048, 16352, 16512, 18688, 25250, 29065, 10977280 ns/op
Iteration   3: n = 27110, mean = 16140 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15168, 16048, 16352, 16480, 18592, 25198, 29235, 54784 ns/op
Iteration   4: n = 27106, mean = 22350 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15104, 16048, 16352, 16512, 17760, 25433, 24440661, 84541440 ns/op
Iteration   5: n = 27127, mean = 16075 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15120, 16048, 16320, 16384, 16663, 25404, 29838, 32096 ns/op

# Run progress: 50.00% complete, ETA 00:02:39
# Fork: 6 of 10
# Warmup Iteration   1: n = 1351, mean = 741964 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 141568, 171264, 251853, 351642, 20250624, 35161375, 36372480, 36372480 ns/op
# Warmup Iteration   2: n = 2391, mean = 429624 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 85248, 101888, 132608, 141926, 12242780, 32369017, 33226752, 33226752 ns/op
# Warmup Iteration   3: n = 2633, mean = 368105 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60416, 75776, 85197, 89126, 12145787, 36158308, 48168960, 48168960 ns/op
# Warmup Iteration   4: n = 7967, mean = 125659 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 20544, 27776, 47936, 49024, 104136, 25644237, 100401152, 100401152 ns/op
# Warmup Iteration   5: n = 16091, mean = 37485 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15760, 17088, 20064, 24480, 30624, 2898084, 48726553, 77332480 ns/op
# Warmup Iteration   6: n = 18801, mean = 26716 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15184, 15888, 17408, 17568, 18112, 189440, 25721016, 126222336 ns/op
# Warmup Iteration   7: n = 14250, mean = 15875 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15008, 15712, 15984, 16080, 16560, 27511, 199584, 201216 ns/op
# Warmup Iteration   8: n = 12813, mean = 15944 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15024, 15808, 16080, 16192, 19840, 26052, 145969, 191488 ns/op
# Warmup Iteration   9: n = 14386, mean = 15949 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15056, 15840, 16128, 16240, 19684, 25268, 49096, 55104 ns/op
# Warmup Iteration  10: n = 13270, mean = 16046 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15216, 15872, 16176, 16336, 20064, 25804, 143647, 197888 ns/op
# Warmup Iteration  11: n = 13778, mean = 24899 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15152, 15856, 16144, 16272, 19847, 25721, 76503912, 122945536 ns/op
# Warmup Iteration  12: n = 14171, mean = 15852 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15200, 15824, 16080, 16144, 16416, 25754, 29733, 29760 ns/op
# Warmup Iteration  13: n = 12997, mean = 22761 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15136, 15824, 16096, 16160, 16416, 25728, 62784299, 89653248 ns/op
# Warmup Iteration  14: n = 14419, mean = 15843 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15120, 15808, 16064, 16144, 16368, 27103, 44799, 53568 ns/op
# Warmup Iteration  15: n = 12358, mean = 33213 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15184, 15840, 16128, 16224, 16512, 25929, 113247493, 118751232 ns/op
# Warmup Iteration  16: n = 14210, mean = 15972 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15104, 15856, 16160, 16304, 18652, 25881, 42067, 51136 ns/op
# Warmup Iteration  17: n = 14108, mean = 21823 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15104, 15824, 16096, 16192, 16416, 25224, 49584223, 84148224 ns/op
# Warmup Iteration  18: n = 14346, mean = 21806 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15184, 15888, 16160, 16240, 16480, 24925, 47730312, 84410368 ns/op
# Warmup Iteration  19: n = 14345, mean = 16016 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15088, 15904, 16192, 16352, 18752, 25748, 32335, 34880 ns/op
# Warmup Iteration  20: n = 12970, mean = 15913 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15200, 15872, 16144, 16224, 16457, 25638, 31850, 32896 ns/op
Iteration   1: n = 26907, mean = 15916 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15136, 15808, 16096, 16256, 18560, 25903, 35916, 50752 ns/op
Iteration   2: n = 27882, mean = 16631 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15104, 15840, 16128, 16224, 17472, 26308, 1821615, 12025856 ns/op
Iteration   3: n = 26607, mean = 15888 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14976, 15776, 16080, 16240, 18592, 25632, 29240, 29952 ns/op
Iteration   4: n = 27196, mean = 22631 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15152, 15872, 16176, 16336, 17696, 25530, 23794765, 96731136 ns/op
Iteration   5: n = 26983, mean = 19961 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15104, 15888, 16160, 16240, 16512, 25345, 40211, 108789760 ns/op

# Run progress: 60.00% complete, ETA 00:02:07
# Fork: 7 of 10
# Warmup Iteration   1: n = 1593, mean = 622990 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 125184, 172288, 253952, 337254, 12943688, 43069342, 48168960, 48168960 ns/op
# Warmup Iteration   2: n = 2451, mean = 412497 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 78848, 100480, 126182, 138752, 12124160, 36822319, 45285376, 45285376 ns/op
# Warmup Iteration   3: n = 2604, mean = 382157 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62336, 73344, 81152, 84320, 12156928, 36175872, 55574528, 55574528 ns/op
# Warmup Iteration   4: n = 11643, mean = 81369 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 16928, 22944, 33344, 40640, 62756, 23819583, 86856617, 97124352 ns/op
# Warmup Iteration   5: n = 17646, mean = 31767 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 16064, 17216, 17696, 20256, 22240, 199937, 45131701, 113639424 ns/op
# Warmup Iteration   6: n = 10841, mean = 27181 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15152, 15776, 17984, 18272, 18880, 30472, 89651390, 96862208 ns/op
# Warmup Iteration   7: n = 14284, mean = 15838 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15152, 15760, 15984, 16048, 16272, 25230, 194450, 194560 ns/op
# Warmup Iteration   8: n = 14125, mean = 15788 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15120, 15744, 15984, 16064, 16304, 25484, 41053, 49728 ns/op
# Warmup Iteration   9: n = 13511, mean = 15830 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15152, 15728, 15984, 16064, 18464, 25406, 195695, 196864 ns/op
# Warmup Iteration  10: n = 14507, mean = 15749 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15184, 15712, 15936, 16000, 16223, 25501, 30512, 31392 ns/op
# Warmup Iteration  11: n = 13989, mean = 15782 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15184, 15744, 15984, 16064, 16258, 24610, 29283, 30496 ns/op
# Warmup Iteration  12: n = 12896, mean = 15804 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15248, 15760, 16000, 16064, 16288, 25648, 47186, 54528 ns/op
# Warmup Iteration  13: n = 14453, mean = 15849 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15136, 15776, 16016, 16144, 17472, 24311, 43303, 55104 ns/op
# Warmup Iteration  14: n = 13124, mean = 15809 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15232, 15760, 16000, 16064, 16304, 25840, 53264, 55104 ns/op
# Warmup Iteration  15: n = 14474, mean = 15862 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15216, 15744, 16000, 16144, 18592, 25123, 30447, 30848 ns/op
# Warmup Iteration  16: n = 13117, mean = 28720 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15200, 15776, 16000, 16096, 16349, 25752, 84672512, 84672512 ns/op
# Warmup Iteration  17: n = 14481, mean = 15906 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15184, 15744, 16016, 16176, 19904, 25634, 32790, 34368 ns/op
# Warmup Iteration  18: n = 13809, mean = 22491 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15168, 15712, 15968, 16112, 19680, 25830, 56723629, 91619328 ns/op
# Warmup Iteration  19: n = 13977, mean = 24110 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15136, 15744, 15968, 16048, 16320, 25188, 70183852, 116523008 ns/op
# Warmup Iteration  20: n = 14334, mean = 22631 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15152, 15648, 15888, 15984, 16250, 25045, 56381263, 99483648 ns/op
Iteration   1: n = 27102, mean = 20115 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15184, 15728, 15968, 16032, 16256, 24825, 37059, 117833728 ns/op
Iteration   2: n = 27009, mean = 22097 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15216, 15760, 15984, 16064, 16733, 25024, 25312840, 85458944 ns/op
Iteration   3: n = 27166, mean = 15744 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15120, 15712, 15936, 16016, 16256, 25189, 29828, 56384 ns/op
Iteration   4: n = 27698, mean = 15854 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15088, 15696, 15952, 16112, 19776, 24672, 28412, 62144 ns/op
Iteration   5: n = 27629, mean = 15878 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15168, 15728, 15984, 16112, 19776, 25304, 28928, 29152 ns/op

# Run progress: 70.00% complete, ETA 00:01:35
# Fork: 8 of 10
# Warmup Iteration   1: n = 1731, mean = 574252 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 116864, 163328, 244685, 278938, 14152499, 35331506, 44302336, 44302336 ns/op
# Warmup Iteration   2: n = 3097, mean = 332981 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 76544, 91520, 120192, 125824, 11112612, 26382107, 32309248, 32309248 ns/op
# Warmup Iteration   3: n = 5307, mean = 180276 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 22720, 52800, 72704, 75392, 217016, 35600728, 36175872, 36175872 ns/op
# Warmup Iteration   4: n = 11985, mean = 58280 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15264, 16176, 22720, 24064, 27076, 12058853, 91852925, 98959360 ns/op
# Warmup Iteration   5: n = 13464, mean = 37360 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15264, 16480, 18944, 21728, 28939, 5437071, 64033096, 82313216 ns/op
# Warmup Iteration   6: n = 13395, mean = 16320 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14496, 15264, 15552, 15648, 16272, 27578, 8348743, 12025856 ns/op
# Warmup Iteration   7: n = 13198, mean = 15458 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14512, 15312, 15648, 15841, 16672, 25792, 196916, 198144 ns/op
# Warmup Iteration   8: n = 14669, mean = 15586 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14560, 15440, 16048, 16608, 17962, 25547, 116337, 191744 ns/op
# Warmup Iteration   9: n = 14645, mean = 15431 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14512, 15312, 15696, 16347, 16800, 26489, 170565, 189952 ns/op
# Warmup Iteration  10: n = 14056, mean = 27609 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14512, 15312, 15744, 16416, 16896, 26126, 85717352, 85983232 ns/op
# Warmup Iteration  11: n = 14920, mean = 20829 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14480, 15232, 15616, 16240, 16704, 25315, 41755003, 82182144 ns/op
# Warmup Iteration  12: n = 13590, mean = 24027 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14544, 15280, 16112, 16640, 18147, 24662, 72442838, 108658688 ns/op
# Warmup Iteration  13: n = 13160, mean = 15427 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14688, 15392, 15664, 15744, 15984, 25142, 47429, 56320 ns/op
# Warmup Iteration  14: n = 14262, mean = 15515 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14752, 15408, 15712, 15872, 18208, 24942, 45442, 57024 ns/op
# Warmup Iteration  15: n = 13349, mean = 28324 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14720, 15424, 15712, 15824, 16136, 25568, 85808251, 85852160 ns/op
# Warmup Iteration  16: n = 14763, mean = 15566 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14672, 15408, 15712, 15872, 19488, 27456, 43454, 56000 ns/op
# Warmup Iteration  17: n = 13306, mean = 21967 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14784, 15488, 15776, 15856, 16159, 25315, 57470565, 85852160 ns/op
# Warmup Iteration  18: n = 14730, mean = 15467 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14720, 15424, 15712, 15792, 16064, 24977, 28881, 29184 ns/op
# Warmup Iteration  19: n = 13256, mean = 15488 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14752, 15440, 15712, 15808, 16080, 25360, 30381, 30464 ns/op
# Warmup Iteration  20: n = 14732, mean = 15600 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14784, 15440, 15760, 15920, 19509, 25097, 28306, 29184 ns/op
Iteration   1: n = 26875, mean = 23103 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14800, 15456, 15744, 15824, 16080, 25468, 26891570, 118358016 ns/op
Iteration   2: n = 27537, mean = 19024 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14704, 15424, 15712, 15808, 16096, 25519, 2988222, 85721088 ns/op
Iteration   3: n = 28048, mean = 22325 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14720, 15456, 15728, 15824, 16064, 24766, 13842701, 120979456 ns/op
Iteration   4: n = 28471, mean = 21740 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14720, 15456, 15728, 15824, 16064, 25058, 13102798, 92536832 ns/op
Iteration   5: n = 29229, mean = 15512 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14704, 15472, 15760, 15840, 16080, 25334, 29231, 29920 ns/op

# Run progress: 80.00% complete, ETA 00:01:03
# Fork: 9 of 10
# Warmup Iteration   1: n = 1493, mean = 665084 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 131072, 168704, 249754, 337101, 16236544, 36274569, 36306944, 36306944 ns/op
# Warmup Iteration   2: n = 2429, mean = 403976 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 83328, 102656, 128512, 136064, 12505907, 34081669, 44171264, 44171264 ns/op
# Warmup Iteration   3: n = 2631, mean = 380798 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60608, 73856, 82944, 89395, 12151685, 36175872, 36241408, 36241408 ns/op
# Warmup Iteration   4: n = 11657, mean = 85649 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 15424, 20288, 37504, 38400, 62080, 24062919, 102081547, 114294784 ns/op
# Warmup Iteration   5: n = 16370, mean = 35463 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14992, 16176, 17056, 21440, 23104, 3833840, 53518867, 105250816 ns/op
# Warmup Iteration   6: n = 10556, mean = 31408 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14592, 15360, 16064, 16272, 18286, 191002, 95974646, 100925440 ns/op
# Warmup Iteration   7: n = 14630, mean = 15472 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14672, 15328, 15616, 15728, 19190, 26060, 194517, 195584 ns/op
# Warmup Iteration   8: n = 13423, mean = 21822 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14592, 15328, 15616, 15696, 15904, 25098, 56954225, 86507520 ns/op
# Warmup Iteration   9: n = 14469, mean = 15457 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14544, 15376, 15664, 15776, 19360, 25969, 29934, 30048 ns/op
# Warmup Iteration  10: n = 13440, mean = 21779 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14624, 15344, 15648, 15760, 16096, 25309, 56291762, 85721088 ns/op
# Warmup Iteration  11: n = 14675, mean = 15509 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14592, 15360, 15680, 15840, 19552, 24561, 27895, 28000 ns/op
# Warmup Iteration  12: n = 13415, mean = 15401 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14672, 15360, 15648, 15728, 15997, 25072, 27975, 28128 ns/op
# Warmup Iteration  13: n = 14818, mean = 15407 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14608, 15376, 15680, 15792, 16112, 25111, 28836, 29376 ns/op
# Warmup Iteration  14: n = 13212, mean = 15408 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14624, 15376, 15664, 15744, 15998, 24716, 28910, 28992 ns/op
# Warmup Iteration  15: n = 14850, mean = 15379 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14528, 15344, 15632, 15744, 16096, 24161, 28289, 28832 ns/op
# Warmup Iteration  16: n = 13450, mean = 28220 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14496, 15328, 15632, 15776, 18208, 24053, 85983232, 85983232 ns/op
# Warmup Iteration  17: n = 14474, mean = 16158 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14576, 15296, 15552, 15632, 15872, 24419, 6677567, 12042240 ns/op
# Warmup Iteration  18: n = 13119, mean = 23588 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14576, 15328, 15616, 15776, 17248, 24950, 73872654, 107347968 ns/op
# Warmup Iteration  19: n = 14872, mean = 21128 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14640, 15312, 15568, 15648, 15904, 25036, 44100382, 85983232 ns/op
# Warmup Iteration  20: n = 13717, mean = 15408 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14624, 15344, 15632, 15762, 17248, 23962, 33070, 35200 ns/op
Iteration   1: n = 28996, mean = 18396 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14608, 15344, 15632, 15712, 15936, 24448, 28208, 87425024 ns/op
Iteration   2: n = 28750, mean = 18436 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14528, 15360, 15664, 15824, 17312, 24568, 32146, 86245376 ns/op
Iteration   3: n = 28278, mean = 15444 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14496, 15328, 15632, 15792, 18144, 24837, 29003, 37888 ns/op
Iteration   4: n = 28248, mean = 18517 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14608, 15376, 15680, 15824, 18176, 25000, 34460, 85721088 ns/op
Iteration   5: n = 27971, mean = 18496 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14496, 15344, 15632, 15792, 17280, 24641, 50143, 86114304 ns/op

# Run progress: 90.00% complete, ETA 00:00:31
# Fork: 10 of 10
# Warmup Iteration   1: n = 1493, mean = 686756 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 136448, 167424, 250010, 958157, 16658268, 31158567, 36241408, 36241408 ns/op
# Warmup Iteration   2: n = 2433, mean = 418941 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 76672, 94720, 125440, 133709, 12178555, 41471574, 46530560, 46530560 ns/op
# Warmup Iteration   3: n = 3708, mean = 260543 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 30240, 64768, 77440, 79616, 6081536, 36175872, 52625408, 52625408 ns/op
# Warmup Iteration   4: n = 11287, mean = 64552 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14736, 15776, 22080, 25792, 31880, 15101854, 112456316, 117571584 ns/op
# Warmup Iteration   5: n = 12295, mean = 35340 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14848, 16320, 24480, 26432, 30368, 9699590, 24044188, 24051712 ns/op
# Warmup Iteration   6: n = 13492, mean = 24773 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14160, 14800, 15840, 16256, 17888, 27201, 66381708, 95551488 ns/op
# Warmup Iteration   7: n = 13775, mean = 15065 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 14912, 15216, 15376, 16736, 27425, 191898, 192768 ns/op
# Warmup Iteration   8: n = 15114, mean = 21206 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14288, 14864, 15152, 15264, 15712, 25105, 46390545, 94765056 ns/op
# Warmup Iteration   9: n = 13708, mean = 15041 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 14864, 15152, 15328, 19101, 24943, 130857, 188160 ns/op
# Warmup Iteration  10: n = 15287, mean = 20560 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14256, 14864, 15152, 15344, 19012, 24365, 39914423, 84672512 ns/op
# Warmup Iteration  11: n = 15303, mean = 20427 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14272, 14864, 15136, 15248, 15584, 23211, 39715851, 84541440 ns/op
# Warmup Iteration  12: n = 13928, mean = 22261 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 14848, 15136, 15296, 19136, 24615, 61292932, 100925440 ns/op
# Warmup Iteration  13: n = 15308, mean = 20539 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 14864, 15152, 15328, 19072, 24608, 39613281, 84410368 ns/op
# Warmup Iteration  14: n = 13700, mean = 19902 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14144, 14832, 15088, 15184, 15440, 24768, 43357523, 68812800 ns/op
# Warmup Iteration  15: n = 15310, mean = 14901 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14272, 14848, 15136, 15232, 15566, 24438, 33294, 34688 ns/op
# Warmup Iteration  16: n = 13907, mean = 14927 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14208, 14832, 15120, 15296, 16640, 24841, 29784, 29984 ns/op
# Warmup Iteration  17: n = 15325, mean = 14891 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14288, 14832, 15104, 15200, 15500, 24683, 29677, 29728 ns/op
# Warmup Iteration  18: n = 13901, mean = 14928 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14112, 14848, 15152, 15326, 16607, 24547, 42152, 50368 ns/op
# Warmup Iteration  19: n = 15334, mean = 14922 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 14832, 15120, 15296, 16576, 24256, 40132, 54080 ns/op
# Warmup Iteration  20: n = 13883, mean = 21030 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14224, 14864, 15168, 15328, 16640, 24331, 51716482, 84541440 ns/op
Iteration   1: n = 29711, mean = 16806 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14208, 14864, 15152, 15328, 17824, 24489, 28933, 54198272 ns/op
Iteration   2: n = 28612, mean = 15488 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14272, 14848, 15120, 15216, 15472, 24396, 758497, 12025856 ns/op
Iteration   3: n = 28944, mean = 17835 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14208, 14832, 15136, 15296, 16576, 24642, 32322, 84410368 ns/op
Iteration   4: n = 28701, mean = 14922 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14192, 14848, 15136, 15296, 16608, 24499, 27870, 28928 ns/op
Iteration   5: n = 29470, mean = 17211 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 14240, 14832, 15088, 15168, 15424, 24689, 29536, 68812800 ns/op

Result "externalizable":
  17843.025 ±(99.9%) 1248.730 ns/op [Average]
  (min, avg, max) = (14160.000, 17843.025, 120979456.000), stdev = 449516.368
  CI (99.9%): [16594.295, 19091.755] (assumes normal distribution)
  Samples, N = 1403094
        mean =  17843.025 ±(99.9%) 1248.730 ns/op
         min =  14160.000 ns/op
  p( 0.0000) =  14160.000 ns/op
  p(50.0000) =  15488.000 ns/op
  p(90.0000) =  16016.000 ns/op
  p(95.0000) =  16176.000 ns/op
  p(99.0000) =  18368.000 ns/op
  p(99.9000) =  24988.960 ns/op
  p(99.9900) =  29728.000 ns/op
  p(99.9990) = 85721088.000 ns/op
  p(99.9999) = 119922766.643 ns/op
         max = 120979456.000 ns/op

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

Benchmark                        Mode      Cnt      Score      Error  Units
ComparisonMain.externalizable  sample  1403094  17843.025 ± 1248.730  ns/op
