针对测井数据处理系统中交互数据检索速度慢等一系列问题，提出一个专用分布式并行模型。
In order to deal with the problems including slow interactive data retrieval and so on, a special distributed and parallel model was given for logging data processing systems.
最后，提出了该算法基于MIMD模型的扩展分布式并行算法。
Finally, an extended distributed parallel algorithm for the GA and MIMD model is presented.
该模型目前已成功应用于中国科学院第三代海洋环流模式的分布式并行计算优化。
This model has been successfully utilized in the optimization of distributed parallel computing of the third generation ocean general circulation model of the Chinese Academy of Science.
该模型通过分布式并行技术提高数据检索速度，通过定点同步的方法保证了多用户数据一致性。
The model accelerates retrieval processes by distributed and parallel technologies, utilizes one-node synchronization methods to sure multi-user data consistency.
故障诊断是分布式并行环境下容错系统的关键部分，故障分类模型是影响故障诊断性能的重要因素之一。
Fault detection is a crucial part of the distributed fault tolerant system, and failure classification model is one of the most important factors to affect the performance of a fault detection system.
本文从分布式存储的并行计算机入手，引出了它的两种并行编程模型消息传递模型和数据并行模型。
This paper starts with parallel computer of distributed memory, educe two kinds of parallel programming models-message transferring model and data paralleling model.
基于Spark分布式图计算模型，提出大规模复杂网络社区并行发现算法DBCS。
Based on Spark distributed graph computing model, a large scale and complex network community parallel discovery algorithm DBCS is proposed.
面对数据的海洋，传统的单机串行算法己经不能适应快速、实时的知识需求，研究面向多机、并行、分布式的数据挖掘模型越来越重要。
The traditional serial algorithm can't do work well for the data ocean quickly and correctly, it also important to research the parallel algorithm.
首先利用数学工具分析设计出该问题的适合于分布式并行计算的方案，然后依照模型实现实验程序。
First the project of the problem was analyzed and designed by using mathematical theory, then the test program was coded with this model.
首先利用数学工具分析设计出该问题的适合于分布式并行计算的方案，然后依照模型实现实验程序。
First the project of the problem was analyzed and designed by using mathematical theory, then the test program was coded with this model.
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