Parallel Processing Method of Local-Information-Based Combinatorial Problem Solving Based on Implicit Stochastic Divide-and-Conquer
Kanada, Y., not yet published, 1995.
Abstract: A method of solving combinatorial problems, such as the N queens problem or graph coloring problems using independent parallel processes, is proposed in the present paper. This method is stochastic (or randomized). Problems are decomposed for parallel processing implicitly and stochastically by this method. This method is based on CCM, which is a computational model proposed by the author. A program consists of production rules and local evaluation functions in CCM. Each process uses the same set of rules and functions, and it may use the same set of initial data in this method. However, the performance is approximately in proportion to the number of processors in average in certain cases. The theoretical reason of this linear acceleration is explained, and several results of experiments, some of which was successful but others were not, are also shown.
Introduction to this research theme: CCM: Chemical-Computation Model