A typical message broker system will often be processing multiple requests from the same stream or queue in a parallel, asynchronous manner.
典型的消息代理系统经常将以异步方式处理来自相同流或并行队列的多个请求。
If there are two messages on the queue when ListenerPort1 starts up, the messages will be processed in parallel.
如果在ListenerPort1启动时队列中有两个消息，则这两个消息将并行处理。
In this paper, several implementations of queue in parallel programming are proposed which employ central, distributed and half central managements in queues.
本文给出并行处理程序中队列的若干种设计方法，这些方法主要采用集中管理、分散管理或半集中管理等队列管理方法。
This paper studies on a typical parallel computation and communication pattern, known as task queue pattern, and implements the pattern in a pattern-based parallel programming environment.
本文在基于模式的并行编程方法的基础上，对一种典型的并行计算与通信模式-任务队列模式进行了深入的研究，并在基于模式的并行编程环境中对该模式进行了实现。
The results indicates that the multiprocess parallel arithmetic of using queue data structures in embedded system can save image capture time and improve rate of information collection.
应用实验结果表明，基于队列结构的多进程并行算法，缩短了图像信息的获取时间，提高了嵌入式系统信息采集速度。
Add new data to circular queue designed to be used with a parallel FIR filter.
添加数据到循环队列，用与并行FIR滤波器设计。
Combined input and cross point queue have advantage due to relative independency. it can be more parallel due to its independent and distributed memory.
组合输入交叉缓存交换机以结构上存储的相对独立性而占有优势，能获得更高的并行性。
Combined input and cross point queue have advantage due to relative independency. it can be more parallel due to its independent and distributed memory.
组合输入交叉缓存交换机以结构上存储的相对独立性而占有优势，能获得更高的并行性。
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