作者: Juliana Freire , Rui Hu , Terrance Swift , David S. Warren
DOI: 10.1007/BFB0026817
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摘要: This paper addresses general issues involved in parallelizing tabled evaluations by introducing a model of shared-memory parallelism which we call table-parallelism, and comparing it to traditional models SLD. A basic architecture for supporting table-parallelism the framework SLG-WAM[14] is also presented, along with an algorithm detecting termination subcomputations.