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Proceedings of the 2022 International Conference on Management of Data
Over the past years, there has been a resurgence of interest in Datalog due to its superior ability of expressing applications that require recursive computations. However, in addition to expressive power, supporting analytical tasks with ever-increasing volume of data requires high performance and scalability. In this paper, we present DCDatalog, an in-memory Datalog engine specifically designed for modern shared-memory multicore architectures. Our key contribution is a novel systemdoi:10.1145/3514221.3517853 fatcat:lgv7q6jdojabjbcerxjneawhla