Partitioning can improve scalability on some systems that use large memory configurations with many CPUs.
对于一些使用大容量内存和多个CPU的系统，分区能够改善可伸缩性。
This was achieved through dynamic Logical Partitioning (DLPAR) -the process of dynamically allocating additional CPU or memory servers to a running LPAR.
这种功能是通过动态逻辑分区(DLPAR)实现的，也就是将附加的CPU或者内存服务器动态地分配给一个正在运行的LPAR。
Logical partitioning (LPAR) is the ability to logically slice up a single system's CPU, memory, and other resources to create multiple and separate servers.
逻辑分区(LPAR)是划分单个系统的CPU、内存和其他资源以创建多个单独服务器的能力。
Partitioning across multiple databases wouldn’t be a big deal if it were not for the fact that cross-database queries are not supported, forcing any unions or joins to be done in memory.
由于跨数据库查询不被支持，所以跨多个数据库的分区是个棘手的问题，任何union或join操作都需要在内存中完成。
Ray says that if you're consolidating to a small number of systems that can support large memory configurations, you should consider partitioning to achieve even greater scalability.
Ray认为，如果您正在合并几个支持大内存的系统，那么就应该考虑使用分区来实现更大的伸缩性。
Data access (Advanced) : By partitioning the data model structure and converting DAOs to access directly the XAP In-Memory data Grid, read and write performance is improved.
数据存取(高级)：通过划分数据模型结构和把DAO转换成直接访问XAP内存数据网格，改进读写性能。
Design program to simulate the dynamic partitioning method of memory storage management.
设计程序模拟内存的动态分区法存储管理。
Two new methods for partitioning and mapping nested loops with non-constant dependencies into distributed memory multiprocessors are presented.
给出了将具有变相关的嵌套循环映射到具有分布式存储的多处理机上的两种方法。
Two new methods for partitioning and mapping nested loops with non-constant dependencies into distributed memory multiprocessors are presented.
给出了将具有变相关的嵌套循环映射到具有分布式存储的多处理机上的两种方法。
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