# JMH version: 1.37
# VM version: JDK 25.0.5, OpenJDK 64-Bit Server VM, 25.0.5+8-LTS
# VM invoker: /tmp/tools/jdk-25.0.5+8/bin/java
# Blackhole mode: compiler (auto-detected, use -Djmh.blackhole.autoDetect=false to disable)
# Warmup: 3 iterations, 1 s each
# Measurement: 5 iterations, 1 s each
# Timeout: 10 min per iteration
# Threads: 1 thread, will synchronize iterations
# Benchmark mode: Average time, time/op
# Benchmark: com.ankurm.jmhbasics.SumBenchmark.sum
# Parameters: (size = 10)

# Run progress: 0.00% complete, ETA 00:00:24
# Fork: 1 of 1
# Warmup Iteration   1: 11.152 ns/op
# Warmup Iteration   2: 9.349 ns/op
# Warmup Iteration   3: 11.239 ns/op
Iteration   1: 11.426 ns/op
Iteration   2: 11.575 ns/op
Iteration   3: 11.528 ns/op
Iteration   4: 8.986 ns/op
Iteration   5: 10.091 ns/op


Result "com.ankurm.jmhbasics.SumBenchmark.sum":
  10.721 ±(99.9%) 4.427 ns/op [Average]
  (min, avg, max) = (8.986, 10.721, 11.575), stdev = 1.150
  CI (99.9%): [6.294, 15.149] (assumes normal distribution)


# JMH version: 1.37
# VM version: JDK 25.0.5, OpenJDK 64-Bit Server VM, 25.0.5+8-LTS
# VM invoker: /tmp/tools/jdk-25.0.5+8/bin/java
# Blackhole mode: compiler (auto-detected, use -Djmh.blackhole.autoDetect=false to disable)
# Warmup: 3 iterations, 1 s each
# Measurement: 5 iterations, 1 s each
# Timeout: 10 min per iteration
# Threads: 1 thread, will synchronize iterations
# Benchmark mode: Average time, time/op
# Benchmark: com.ankurm.jmhbasics.SumBenchmark.sum
# Parameters: (size = 1000)

# Run progress: 33.33% complete, ETA 00:00:16
# Fork: 1 of 1
# Warmup Iteration   1: 72.906 ns/op
# Warmup Iteration   2: 61.956 ns/op
# Warmup Iteration   3: 60.801 ns/op
Iteration   1: 53.346 ns/op
Iteration   2: 57.255 ns/op
Iteration   3: 52.866 ns/op
Iteration   4: 54.738 ns/op
Iteration   5: 54.117 ns/op


Result "com.ankurm.jmhbasics.SumBenchmark.sum":
  54.465 ±(99.9%) 6.611 ns/op [Average]
  (min, avg, max) = (52.866, 54.465, 57.255), stdev = 1.717
  CI (99.9%): [47.854, 61.075] (assumes normal distribution)


# JMH version: 1.37
# VM version: JDK 25.0.5, OpenJDK 64-Bit Server VM, 25.0.5+8-LTS
# VM invoker: /tmp/tools/jdk-25.0.5+8/bin/java
# Blackhole mode: compiler (auto-detected, use -Djmh.blackhole.autoDetect=false to disable)
# Warmup: 3 iterations, 1 s each
# Measurement: 5 iterations, 1 s each
# Timeout: 10 min per iteration
# Threads: 1 thread, will synchronize iterations
# Benchmark mode: Average time, time/op
# Benchmark: com.ankurm.jmhbasics.SumBenchmark.sum
# Parameters: (size = 100000)

# Run progress: 66.67% complete, ETA 00:00:08
# Fork: 1 of 1
# Warmup Iteration   1: 8474.836 ns/op
# Warmup Iteration   2: 7431.944 ns/op
# Warmup Iteration   3: 7347.101 ns/op
Iteration   1: 7377.289 ns/op
Iteration   2: 7499.047 ns/op
Iteration   3: 7046.908 ns/op
Iteration   4: 7454.035 ns/op
Iteration   5: 7662.632 ns/op


Result "com.ankurm.jmhbasics.SumBenchmark.sum":
  7407.982 ±(99.9%) 875.072 ns/op [Average]
  (min, avg, max) = (7046.908, 7407.982, 7662.632), stdev = 227.254
  CI (99.9%): [6532.910, 8283.055] (assumes normal distribution)


# Run complete. Total time: 00:00:25

REMEMBER: The numbers below are just data. To gain reusable insights, you need to follow up on
why the numbers are the way they are. Use profilers (see -prof, -lprof), design factorial
experiments, perform baseline and negative tests that provide experimental control, make sure
the benchmarking environment is safe on JVM/OS/HW level, ask for reviews from the domain experts.
Do not assume the numbers tell you what you want them to tell.

NOTE: Current JVM experimentally supports Compiler Blackholes, and they are in use. Please exercise
extra caution when trusting the results, look into the generated code to check the benchmark still
works, and factor in a small probability of new VM bugs. Additionally, while comparisons between
different JVMs are already problematic, the performance difference caused by different Blackhole
modes can be very significant. Please make sure you use the consistent Blackhole mode for comparisons.

Benchmark         (size)  Mode  Cnt     Score     Error  Units
SumBenchmark.sum      10  avgt    5    10.721 ±   4.427  ns/op
SumBenchmark.sum    1000  avgt    5    54.465 ±   6.611  ns/op
SumBenchmark.sum  100000  avgt    5  7407.982 ± 875.072  ns/op