这在多处理器系统中是一项特别重要的技术，(原则上)可在其中进行并发处理而无需降低响应时间。
This is an especially important technique on multi-processor systems, where concurrency can (in principle) be used without degrading response time.
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.
然而目前一些有效降低能量消耗的技术大多针对单处理器系统，较少考虑多处理器系统。
Many techniques have been proposed to reduce power consumption for uniprocessor systems, while less work have taken multiprocessor systems into account.
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.
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.
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