Domain partion uses data dependence analysis technology during compile time, and sub-component combination uses fuzzy clustering algorithm for interval data designed by us.
其中域划分利用了编译时的数据依赖分析技术,子构件组合利用了所设计的基于区间数据的模糊聚类算法。
参考来源 - 编译指导的构件并行技术·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
Data dependence analysis is the basis of the parallelization.
数据依赖分析是并行识别的基础。
Dependence analysis is widely developed. Dependence measures, including linear correlation coefficient and concordance measure, are traditional methods.
相关性分析是应用极为广泛的方法。相关性度量，包括线性相关系数和和谐性相关性度量是传统方法。
The most common analysis is data dependence analysis, which is to determine the instructions that use the variable (register or memory location) modified by another instruction.
最通常的分析是数据依存性分析，它用来确定指令使用的变量(寄存器或内存位置)是否被另一条指令修改。
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