RFR: 8275821: Optimize random number generators developed in JDK-8248862 using Math.unsignedMultiplyHigh() [v4]

[Vamsi Parasa]

On Thu, 2 Dec 2021 23:02:57 GMT, Paul Sandoz <psandoz at openjdk.org> wrote:

>> Vamsi Parasa has updated the pull request incrementally with one additional commit since the last revision:
>> 
>>   add seeds for the random generators to eliminate run-to-run variance
>
> test/micro/org/openjdk/bench/java/util/RandomGeneratorNext.java line 57:
> 
>> 55:         rngL128X128MixRandom = RandomGeneratorFactory.of("L128X128MixRandom").create(42);
>> 56:         rngL128X256MixRandom = RandomGeneratorFactory.of("L128X256MixRandom").create(174);
>> 57:         rngL128X1024MixRandom = RandomGeneratorFactory.of("L128X1024MixRandom").create(308);
> 
> You can declare parameters:
> 
> 
> @Param({"L128X128MixRandom", "L128X256MixRandom", "L128X1024MixRandom"})
> String randomGeneratorName;
> 
> @Param("1024")
> int size;
> 
> long[] buffer;
> RandomGenerator randomGenerator;
> 
> 
> @Setup
> public void setup() {
>     buffer = new long[size];
>     randomGenerator = RandomGeneratorFactory.of(randomGeneratorName)
>         .create(randomGeneratorName.hashCode());
> }
> 
> 
> Then you can simplify to just two benchmark methods. Further, the benchmark can be used for other PRNGs.

@PaulSandoz  Implemented the changes you suggested for the benchmark. Tested it on my side and ensured that it's working as expected...

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PR: https://git.openjdk.java.net/jdk/pull/6206