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A New Paradigm for Parallel and Distributed Rule-Processing

Wolfson, Ouri; Ozeri, Aya

This paper is concerned with the parallel evaluation of datalog rule programs, mainly by processors that are interconnected by a communication network. We introduce a paradigm, called data-reduction, for the parallel evaluation of a general datalog program. Several parallelization strategies discussed previously in [CW, GST, W, WS] are special cases of this paradigm. The paradigm parallelizes the evaluation by partitioning among the processors the instantiations of the rules. After presenting the paradigm, we discuss the following issues, that we see fundamental for parallelization strategies derived from the paradigm properties of the strategies that enable a reduction in the communication overhead, decomposability, load balancing, and application to programs with negation. We prove that decomposability, a concept introduced previously in [WS, CW], is undecidable.



More About This Work

Academic Units
Computer Science
Department of Computer Science, Columbia University
Columbia University Computer Science Technical Reports, CUCS-463-89
Published Here
December 23, 2011