AAAI Publications, Twenty-Sixth AAAI Conference on Artificial Intelligence

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Filtering Algorithms Based on the Word-RAM Model
Philippe Van Kessel, Claude-Guy Quimper

Last modified: 2012-07-14

Abstract


The Word-RAM is a model of computation that takes into account the capacity of a computer to manipulate a word of w bits with a single instruction. Many modern constraint solvers use a bitset data structure to encode the values contained in the variable domains. Using the algorithmic techniques developed for the Word-RAM, we propose new filtering algorithms that can prune Opwq values from a domain in a single instruction. Experiments show that on a processor with w = 64, the new filtering algorithms that enforce domain consis- tency on the constraints A + B = C, |A - B| = C and ALL-DIFFERENT can offer a speed up of a factor 10.

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