Building Graphs at a Large Scale: Union Find Shuffle

Saigopal Thota,Mridul Jain,Nishad Kamat, Saikiran Malikireddy, Pruthvi Raj Eranti, Albin Kuruvilla

2021 IEEE International Conference on Big Data (Big Data)(2021)

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摘要
Large scale graph processing using distributed computing frameworks is becoming pervasive and efficient in the industry. In this work, we present a highly scalable and configurable distributed algorithm for building connected components, called Union Find Shuffle (UFS) with Path Compression. The scale and complexity of the algorithm are a function of the number of partitions into which the data is...
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Industries,Production systems,Runtime,Buildings,Benchmark testing,Big Data,Real-time systems
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