C. Frăsinaru, M. Răschip

An Improved Subsumption Testing Algorithm for the Optimal-Size Sorting Network Problem

Artificial Intelligence

In this paper a new method for checking the subsumption relation for the optimal-size sorting network problem is described. The new approach is based on creating a bipartite graph and modelling the subsumption test as the problem of enumerating all perfect matchings in this graph. Experiments showed significant improvements over the previous approaches when considering the number of subsumption checks and the time needed to find optimal-size sorting networks. We were able to generate all the complete sets of filters for comparator networks with 9 channels, confirming that the 25-comparators sorting network is optimal. The running time was reduced more than 10 times, compared to the state-of-the-art results.

This article is authored also by Synbrain data scientists and collaborators. READ THE FULL ARTICLE