package aperf
Install
Dune Dependency
Authors
Maintainers
Sources
sha256=aea2cc46292e3b6869d0e159942ff29ca920e21571e1c9e0f024525d7343b0dc
md5=68f60133dd5d805efd43f1518c03a601
Description
Published: 11 Aug 2016
README
aperf — OCaml tools for loop perforation
Examples
k-means
k-means has two loops that can be perforated
the loop over the points when finding new centers
the number of iterations of the step algorithm
I have trained the automatic perforation over 10 input sets, each of 100,000 2-dimensional points with each dimension in the range [0,50].
For a baseline, here are the exhaustive results where we try all combinations of loop perforations between 0 and 100% by steps of 5%:
And here are the results for the automatic perforation:
Each trained perforation was then tested on a different set of live data: 10 input sets, each of 1,000,000 2-dimensional points with each dimension in the range [0,50].
Below is a combined graph where the trained results are in red and the live results are in blue. The green points are the additional configurations which the live data set discovered. Green lines are when accuracy increased for a configuration from the training run to the live run and a red line is when accuracy decreased.