Carl Nolan’s ramblings on development
In previous posts I have presented code to perform Parallel Sorting of arrays using 2 different methods:
As the code is spread out over these post I thought it would be useful to wrap up the code into a single solution for downloading:
Although the two implementations can be called separately a single set of sort operations within the Array.Parallel module has been exposed:
This heuristic based wrapper works on the assumption that the Quicksort is faster for under 2 million array entries; after which the Merger sort is faster. Also when there are less than 50 thousand entries in the Array then the base sequential sort is faster. Here is a summary for the sortInPlace operation:
As demonstrated, the parallel extensions support not only the sort and sortInPlace operations but the full set of possible operations; including sortBy, sortWith, sortByInPlace, and sortWithInPlace.
So how do the different sorts compare? Using my quad-core laptop with an array of 5 million floats the numbers are (the projection is defined as (sqrt << abs)):
One metric worth mentioning is that if one creates a comparer from the projection and then performs a sortInPlaceWith then the Quicksort takes about 3 seconds. This is compared with the sortInPlaceBy of about 1 second.
So if you have the need to perform parallel sort operation hopefully this will get you off the ground.