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GPU-BASED METHOD FOR OPTIMIZING RICH METADATA MANAGEMENT AND SYSTEM THEREOF

机译:基于GPU的丰富元数据管理优化方法及其系统

摘要

A GPU-based system for optimizing rich metadata management and a method thereof are disclosed. The system includes: a search engine for converting rich metadata information into traversal information and/or search information of a property graph, and providing at least one API according to a traversal process and/or a search process; a mapping module for detecting relationships among entity nodes in the property graph by means of mapping; a management module for activating a GPU thread group and allotting video memory blocks, so as to store the property graph in a GPU as a mixed graph; and a traversal module for activating a traversal program and performing detection and gathering on stored property arrays for iteration, so as to feed back a result of the iteration to the search engine. The system and the method are efficient in rich metadata search while having good scalability and compatibility.
机译:公开了一种用于优化富元数据管理的基于GPU的系统及其方法。该系统包括:搜索引擎,用于将丰富的元数据信息转换为特性图的遍历信息和/或搜索信息,并根据遍历过程和/或搜索过程提供至少一个API;映射模块,用于通过映射检测所述属性图中实体节点之间的关系;管理模块,用于激活GPU线程组并分配视频存储块,以将属性图作为混合图存储在GPU中;遍历模块,用于激活遍历程序,并对存储的属性数组进行检测和采集以进行迭代,以将迭代结果反馈给搜索引擎。该系统和方法在丰富的元数据搜索中有效,同时具有良好的可伸缩性和兼容性。

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