这些因素使多玩家在线游戏引擎可以利用并行数据库技术，比如对称多处理器，以及其他大内存系统。
These factors allow a multiplayer online game engine to take advantage of the power of parallel database technology, such as symmetric multiprocessors, and other large memory systems.
分配组还有助于在多处理器系统上优化并行io性能，因为可以同时有多个元数据更新处于“在传输中”。
Allocation groups also help to optimize parallel IO performance on multiprocessor systems, because more than one metadata update can be "in transit" at the same time.
由 -XX:+UseParallelGC启用的并行清除收集器是年轻代收集器，针对多处理器系统上非常大(吉字节以及更大的)堆进行了优化。
The parallel scavenging collector, enabled by -XX:+UseParallelGC, is a young-generation collector optimized for very large (gigabyte and larger) heaps on multiprocessor systems.
另外，一些多处理器系统支持并行处理。
In addition, some multiprocessor systems support parallel processing.
包含概述在多处理器系统中生成时的注意事项的主题，例如并行生成以及有效使用内存。
Contains topics that outline what to consider when you are building on a multi-processor system, for example, building in parallel and using memory efficiently.
文章在分析已有并行关联规则挖掘算法的基础上，讨论了多处理器系统中影响并行关联规则挖掘算法性能的主要问题。
The current algorithms of parallel association rules mining are analyzed, and the main factors affecting the performance of the mining algorithm in the multi-processor system are discussed.
文中还将多处理器并行系统与单个处理器系统的处理结果进行了对比分析，验证了并行算法的优越性。
The implementation of the parallel algorithm is discussed and results are given to show the performance of the parallel system compared to a single processor system.
随着人们对高性能与低成本的需求的增长，多处理器并行系统也得到了越来越多的应用。
Along with the requirement of high performance and low cost increasing, parallel system based on multi-process acquired more and more application.
文中讨论了在多处理器系统上，用大规模并行处理技术实现人工神经网络时，处理器之间的通信开销问题。
The communication overhead in parallel implementation of artificial neural network on a multiprocessor system is analyzed in this paper.
在多处理器系统中，寻求一个有效的并行任务设计安排使得整个执行时间达到最小是至关重要的环节。
In the multiprocessor systems, an efficient scheduling of a parallel program onto the processors that minimizes the entire execution time is vital.
为了提高实时处理能力的分布式多处理器计算机数控系统(CNC)系统的数控的核心任务，并行处理进行了研究。
To improve the real time processing capability of distributed multiprocessor Computer Numerical Control (CNC) system systemically, the parallel processing of CNC core tasks was studied.
为了提高实时处理能力的分布式多处理器计算机数控系统(CNC)系统的数控的核心任务，并行处理进行了研究。
To improve the real time processing capability of distributed multiprocessor Computer Numerical Control (CNC) system systemically, the parallel processing of CNC core tasks was studied.
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