This problem also highlights one of the fundamental design principles when it comes to working with parallel data structures: Do not assume sequential execution of any code, ever.
这个问题也突显了并发数据结构的基本设计原则之一：决不要假设任何代码会连续执行。
It was illustrated how to utilize and extend the message-passing mechanisms provided by GOOMPI to transfer user-defined data structures and develop parallel programs effectively.
并研究了如何利用并扩展GOOMPI的消息传递机制来传递用户自定义数据结构，以有效地开发并行程序。
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。
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