The purpose of this performance test was to review several methods/libraries available for vector/matrix math operations for use in libgdx-atc-sim
- Apache commons-math
- Pythagoras Library
- Yeppp! Library
- LWJGL OpenCL (TODO)
Vector classes using double precision floating point numbers were used. Where classes were missing, a plain java alternative was implemented.
| Benchmark | Samples | Score | Error | units |
|---|---|---|---|---|
| testApacheCommons | 20 | 1.916 | ± 0.428 | ops/s |
| testPythagoras | 20 | 7.572 | ± 0.355 | ops/s |
| testYepp | 20 | 0.205 | ± 0.001 | ops/s |
- + lots of other classes we may want to use
- - bloated
- ~ performance is okay but not the best.
The Pythagoras has the best performance. It is also small
- + very small
- + performance
- - no unit tests for double class
Yeppp doesn't have the best performance for our application, and we'd have alter the design to cater for performance to get any kind of benefit.
- + small
- + popular
- - poor performance in java and for our application
c++ - Performance with Yeppp! is slower than native implementation - Stack Overflow
Yeppp! is optimized for processing arrays of 100+ elements. It is not efficient on small arrays (like length-3 array in your example) due to limited ability to use SIMD and overheads of function call, dynamic dispatching, and parameter checks.