The goal of this project is to compare the performance of several mathematical libraries for Kotlin.
We test the performance of the following operations:
- elementwise addition and multiplication of two double arrays, both with and without an offset
- dot product (aka scalar product) of two double arrays
- sum of all elements of a double array
- elementwise exponent, logarithm,
expm1andlog1pof a double array
We also test the performance of the "naive" Kotlin implementations of these operations.
This is a JMH project. Its intended execution mode is
mvn clean verify
java -jar target/benchmarks.jarThe usual JMH options can be added to the latter command.
The author of this benchmark suite is also the author and maintainer of viktor, one of the libraries being tested. The results might be biased despite my best efforts to stay objective.
We ran the suite on a Lenovo ThinkPad laptop:
| parameter | value |
|---|---|
| CPU | Intel Core i7-6820HQ |
| frequency | 2.70GHz |
| architecture | amd64 |
| SIMD extension | AVX |
| OS | Ubuntu 20.04 LTS |
The benchmark suite was run overnight as the only user application.
We tested three JVMs:
On the following plot, we show the performance gain (or loss) of the tested library as compared to the naïve JVM baseline (i.e. a simple loop). For instance, the value of 2 would mean that the particular library is twice as fast as the baseline.
