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- W2735105947 abstract "Compared with distributed graph computation, traditionally single node computation is unfitted in processing large scale graph data. The GAS (Gather, Apply and Scatter) Model is a universal vertex-cut graph computation programming model based on edge-centric programs to support graph algorithms, which process distributed graph computation after graph partition. In this paper, we introduce that three minor-steps of GAS. We then analyze more complete process of GAS considering intra-node computation and internode communication of distributed graph computation. Based on our analysis, we evaluate the performance in different nodes of graph analysis algorithm applying GAS model. The evaluation shows that the bottleneck is computation performance or communication bandwidth depending on number of nodes, which is an inspiration of optimizing the GAS model." @default.
- W2735105947 created "2017-07-21" @default.
- W2735105947 creator A5019657990 @default.
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- W2735105947 date "2017-06-01" @default.
- W2735105947 modified "2023-09-24" @default.
- W2735105947 title "Analysis and Evaluation of the GAS Model for Distributed Graph Computation" @default.
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- W2735105947 doi "https://doi.org/10.1109/icdcsw.2017.27" @default.
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