首页> 外国专利> DYNAMIC E2E ANALYTIC TASK OPTIMIZATION, CODE GENERATION AND JIT COMPILE BASED ON LAYERED OPERATOR CATALOG AND DATA FLOW GRAPH REPRESENTATION OF ANALYTIC TASK

DYNAMIC E2E ANALYTIC TASK OPTIMIZATION, CODE GENERATION AND JIT COMPILE BASED ON LAYERED OPERATOR CATALOG AND DATA FLOW GRAPH REPRESENTATION OF ANALYTIC TASK

机译:基于分层操作员目录和分析任务的数据流图表示的动态E2E分析任务优化,代码生成和JIT编译

摘要

The objective of the present invention is to provide end-to-end analytic task optimization and dynamic code generation using a JIT compile based on the reuse of an operator, the securing of algorithm scalability, and data flow graph representation through the layered operator catalog structure of complex analysis algorithm. The present invention comprises a method for modeling a data flow graph by combining code templates which are stored after the code templates of a complex analysis algorithm are defined and the defined code templates are stored in a layered operator catalog; and a method for executing an end-to-end optimization of a data flow through a JIT compile.;COPYRIGHT KIPO 2017
机译:本发明的目的是提供基于JIT编译器的端到端分析任务优化和动态代码生成,该JIT编译器基于操作员的重用,算法可伸缩性的保证以及通过分层操作员目录结构的数据流图表示复杂分析算法。本发明包括一种通过组合在定义复杂分析算法的代码模板并将定义的代码模板存储在分层操作员目录中之后存储的代码模板来对数据流图进行建模的方法。以及通过JIT编译执行数据流的端到端优化的方法。; COPYRIGHT KIPO 2017

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