两个并发数据结构，用于高效的数据查询处理

Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming Pub Date : 2018-02-10 DOI:10.1145/3178487.3178525

Herbert Jordan, Bernhard Scholz, Pavle Subotic

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引用次数: 2

摘要

近年来，Datalog因实现高级数据分析而受到欢迎。应用程序受益于Datalog的高级声明性语法以及用于计算解决方案的高效算法的可用性。Datalog引擎的效率已经达到了一定程度，souffl等引擎报告的性能结果可以与低级手工制作的替代品[3]相媲美。

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Two concurrent data structures for efficient datalog query processing

In recent years, Datalog has gained popularity for the implementation of advanced data analysis. Applications benefit from Datalog's high-level, declarative syntax, and availability of efficient algorithms for computing solutions. The efficiency of Datalog engines has reached a point where engines such as Soufflé have reported performance results comparable to low-level hand-crafted alternatives [3].

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Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

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