Hi Artem, we've added JMH for Commons CSV in a special profile. Maybe you can use that as inspiration for RNG [1]
Regards, Benedikt [1] https://github.com/apache/commons-csv/blob/master/pom.xml#L390-L498 Artem Barger <ar...@bargr.net> schrieb am Di., 9. Aug. 2016 um 14:39 Uhr: > Hi, > > I've created a following JIRA task, to add JMH dependency and allow > execution of microbenchmarks based on JMH framework. I've added maven > profile to separate compilation of benchmark related jar from the main > stream. My proposed changes attached to the JIRA issue, any comments or > suggestions are welcomed. > > > Also it will be interesting to hear ideas where to actually write and > implement the benchmarks once such change will be added. Moreover it's > important to note, that using JMH it only allows to compare algorithms and > different implementations performance wise rather than comparing the > actually accuracy of result produced. For example if I'll add a benchmark > to compare different random source providers, I will receive results which > show me what is the most performant provider for given workload, while > nothing regarding the actually accuracy of the algorithm I've implemented > to run the comparison. > > More particularly I've added a benchmark to estimate value of PI add this > is the results I've got out of JMH: > > # Run complete. Total time: 00:01:35 > > Benchmark (pairsToGenerate) (randomSourceName) > Mode Cnt Score Error Units > PiComputationBenchmark.computePi 1000000 JDK > avgt 5 44076.310 ± 2794.888 us/op > PiComputationBenchmark.computePi 1000000 WELL_512_A > avgt 5 19374.112 ± 4973.542 us/op > PiComputationBenchmark.computePi 1000000 WELL_1024_A > avgt 5 20575.240 ± 4298.444 us/op > PiComputationBenchmark.computePi 1000000 WELL_19937_A > avgt 5 42208.136 ± 2062.648 us/op > PiComputationBenchmark.computePi 1000000 WELL_19937_C > avgt 5 45105.231 ± 2752.918 us/op > PiComputationBenchmark.computePi 1000000 WELL_44497_A > avgt 5 49710.663 ± 15786.830 us/op > PiComputationBenchmark.computePi 1000000 WELL_44497_B > avgt 5 48984.700 ± 2449.719 us/op > PiComputationBenchmark.computePi 1000000 MT > avgt 5 22466.565 ± 1377.585 us/op > PiComputationBenchmark.computePi 1000000 ISAAC > avgt 5 21615.283 ± 1080.331 us/op > > Note, there is nothing here that shows how actually computed PI results is > close to real value. > > Best regards, > Artem Barger. >
