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Computing System with Multi-Processor Platform for Accelerating Influence Maximization Computation and Related Methods
Computing System with Multi-Processor Platform for Accelerating Influence Maximization Computation and Related Methods
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机译：具有多处理器平台的影响力最大化计算加速计算系统及相关方法
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摘要
The influence spread can be efficiently increased, or even maximized, by utilizing a multi-processing platform such as a GPU (e.g. Graphics Processing Unit), multi-core processor, etc. It is herein provided that a large graph of a social data network comprising nodes (e.g. the user accounts) and edges (e.g. the data links or relationships between the user accounts) may be separated into local subgraph trees, and that these local subgraph trees may be independently processed in parallel threads on the multi-processing platform. A particular example of such a platform is a GPU-based environment that includes many threads.
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