As one of the most important issues in multiprocessor systems, data locality is a main direction of studies on such systems.
数据局部性是多处理器系统中的重要研究方向之一。
The use of local queues not only reduces pressure on the global queue, it also takes advantage of data locality.
使用本地队列不仅可以减轻全局队列上的压力，而且可以利用数据位置。
This feature, known as data locality, is at the heart of data processing in Hadoop and is the reason for its good performance.
这个数据本地化是hadoop的核心特征，也是使hadoop获得高性能的原因。
Data locality model should optimize for keeping "related data" in physical proximity to ensure analysis is efficient.
数据本地化模型的优化方法是将“关联的数据”放在物理上临近的地方，从而确保分析的高效性。
Data locality: the client machine typically is not a data node. Allthe data accessed is remote and has to be read via the network.
数据分布：客户端机器一般都不是数据节点，所有的数据访问都是远程的，必须通过网络读取。
We parallelized LM_NS3D, a program for three dimensional low mach flow simulation, with PVM as the message passing environment. Communication is carefully optimized. Data locality is achieved.
以PVM为消息传递支持软件实现了低马赫数流动三维数值模拟程序LM_NS3D的并行化，考虑了通信优化、数据局部化及负载平衡等。
We parallelized LM_NS3D, a program for three dimensional low mach flow simulation, with PVM as the message passing environment. Communication is carefully optimized. Data locality is achieved.
以PVM为消息传递支持软件实现了低马赫数流动三维数值模拟程序LM_NS3D的并行化，考虑了通信优化、数据局部化及负载平衡等。
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