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

    公开(公告)号:US20190294643A1

    公开(公告)日:2019-09-26

    申请号:US16284611

    申请日:2019-02-25

    Abstract: 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.

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