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Improving parallel execution performance for logic programs using mode information

机译:使用模式信息提高逻辑程序的并行执行性能

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Parallel execution of a logic program is an active research topic. Extensive study has been focused on the AND-OR parallel execution of a logic program. Current approaches adopt a top-down evaluation sequence to realize AND-OR parallelism by exploring parallelly executable predicates from root to leaf and then collect bindings generated in this process. Our research presented in this paper explores the parallel execution of a logic program based on a new data flow analysis algorithm. A logic program is first applied by data dependency analysis which can find all mode combinations possibly existing within a logic clause. This mode information is used to support a novel hybrid parallel execution model, which combines both top-down and bottom-up evaluation strategies. By adopting this model, various improvements can be achieved. The results generated from a simulator demonstrate very encouraging results.
机译:并行执行逻辑程序是一个有源研究主题。广泛的研究专注于逻辑计划的和并行执行。目前方法采用自上而下的评估序列来实现通过从根到叶片的并行可执行的谓词来实现和 - 或并行性,然后收集在该过程中产生的绑定。我们本文提出的研究探讨了基于新数据流分析算法的逻辑程序的并行执行。首先通过数据依赖性分析应用逻辑程序,该数据依赖性分析可以在逻辑子句中找到可能存在的所有模式组合。该模式信息用于支持新型混合并行执行模型,其结合了自上而下和自下而上的评估策略。通过采用这种模型,可以实现各种改进。从模拟器产生的结果表明了非常令人鼓舞的结果。

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