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• W3139767048 abstract "Subgraph enumeration is a fundamental problem in graph analytics, which aims to find all instances of a given query graph on a large data graph. In this paper, we propose a system called HUGE to efficiently process subgraph enumeration at scale in the distributed context. HUGE features 1) an optimiser to compute an advanced execution plan without the constraints of existing works; 2) a hybrid communication layer that supports both pushing and pulling communication; 3) a novel two-stage execution mode with a lock-free and zero-copy cache design, 4) a BFS/DFS-adaptive scheduler to bound memory consumption, and 5) two-layer intra- and inter-machine load balancing. HUGE is generic such that all existing distributed subgraph enumeration algorithms can be plugged in to enjoy automatic speed up and bounded-memory execution." @default.
• W3139767048 created "2021-04-13" @default.
• W3139767048 creator A5019383391 @default.
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• W3139767048 date "2021-03-26" @default.
• W3139767048 modified "2023-09-23" @default.
• W3139767048 title "HUGE: An Efficient and Scalable Subgraph Enumeration System" @default.
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• W3139767048 doi "https://doi.org/10.48550/arxiv.2103.14294" @default.
• W3139767048 hasPublicationYear "2021" @default.
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