The Kullback-Liebler divergence, Hellinger distance, and alpha-divergence in Futhark.
Documentation is available here.
To run the benchmarks:
make
pipenv run python harness.py
and
futhark bench information.fut --backend opencl --runs=100
| Computation | Array Size | Implementation | Time |
|---|---|---|---|
| Entropy | 10000000 | Futhark | 19.61 ms |
| Kullback-Liebler Divergence | 10000000 | Futhark | 27.41 ms |
| Entropy | 10000000 | Python + Futhark | 52.80 ms |
| Kullback-Liebler Divergence | 10000000 | Python + Futhark | 94.07 ms |
| Entropy | 10000000 | Python (SciPy) | 233.45 ms |
| Kullback-Liebler Divergence | 10000000 | Python (SciPy) | 340.83 ms |
| Entropy | 10000000 | J | 227.37 ms |
| Entropy | 10000000 | Haskell Accelerate | 46.27 ms |
| Kullback-Liebler Divergence | 10000000 | Haskell Accelerate | 70.99 ms |
(Have a look at accelerate-kullback-liebler for details on its benchmarks).