首页> 外国专利> MATRIX-RELATED OPERATIONS IN RELATIONAL DATABASES SYSTEMS INCLUDING MASSIVELY PARALLEL PROCESSING SYSTEMS

MATRIX-RELATED OPERATIONS IN RELATIONAL DATABASES SYSTEMS INCLUDING MASSIVELY PARALLEL PROCESSING SYSTEMS

机译:关系数据库系统中的矩阵相关操作,包括大规模并行处理系统

摘要

Improved techniques for performing Matrix-Related operations (e.g., Matrix Multiplication, Matrix Transpose) in Relational Database systems are disclosed. Techniques provide Matrix Data Sets for performing Matrix-Related operations in Relational Databases more efficiently than conventional techniques. By way of example, Matrix Data can be partitioned such that data each partition can be processed directly in a cache memory of a processor thereby reducing the need for copying data as it is conventionally done in Relational Databases. In addition, database queries involving Matrix-Related operations can be optimized for a Relational Database by providing Matrix Operations that can be directly used as declarative statements in a Database Query language (e.g., SQL). Furthermore, database query optimizers of a Relational Database can be further enhanced by allowing them to consider Matrix Algebra, as well as other opportunities in processing Matrix-related operation, possibly in connection of one or more the facets of the improved techniques.
机译:公开了用于执行关系数据库系统中的矩阵相关操作(例如,矩阵乘法,矩阵转置)的改进技术。技术提供了用于比传统技术更有效地执行关系数据库中与关系数据库中的矩阵相关操作的矩阵数据集。举例来说,可以划分矩阵数据,使得数据每个分区可以直接处理处理器的高速缓冲存储器中,从而减少对数据传输在关系数据库中的复制数据的需求。此外,可以通过提供可以直接用作数据库查询语言(例如,SQL)中的矩阵操作来针对关系数据库进行涉及矩阵相关操作的数据库查询。此外,可以通过允许它们考虑矩阵代数以及处理矩阵相关操作的其他机会来进一步增强关系数据库的数据库查询优化器,可能结合改进技术的一个或多个小平面。

著录项

  • 公开/公告号US2021303574A1

    专利类型

  • 公开/公告日2021-09-30

    原文格式PDF

  • 申请/专利权人 PAUL GEOFFREY BROWN;

    申请/专利号US202017139289

  • 发明设计人 PAUL GEOFFREY BROWN;

    申请日2020-12-31

  • 分类号G06F16/2453;G06F17/16;

  • 国家 US

  • 入库时间 2022-08-24 21:22:03

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