【Key words】 parallelization compiler; parallel recognition; data dependence; medium grain parallel; computation decomposition; data decomposition;
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Data and computation decomposition is the basis of parallel programs.
数据和计算分解是并行化的基础,对应的数据分布和计算划分是并行化编译的重要组成部分。
参考来源 - 分布式主存系统上自动数据和计算分解和相关研究·2,447,543篇论文数据,部分数据来源于NoteExpress
计算划分问题是并行编译中最为重要的问题之一。
Computation partition is one of the most important problems in parallel compilation and optimization.
提出了一种基于投票逻辑的信任模型,将信任的计算划分为直接信任和间接信任的计算。
Put forward a trust model based on polling logic. Trust is composed of direct trust and indirect trust.
它需要划分文本,分解为一个数组,并计算每个单词的出现次数。
It needs to strip the text, break it into an array, and count the occurrences of each word.
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