存储器中易失性用户大数据并行处理控制系统

Control system for parallel processing of volatile user data in memory

摘要:

传统的并行处理控制系统在处理存储器中易失性用户大数据时，对CPU的利用率很低，导致处理控制工作精密度差。为了解决此问题，设计了一种新的大数据并行处理控制系统，分别对系统的硬件和软件进行设计，分析了控制系统中各组件的结构关系，重点设计了系统总线、中央处理器；软件部分分为打开文件、更新文件、监测运行、数据连接四步。为了检测系统的可行性，与传统并行处理控制系统进行实验对比，结果显示，设计的并行处理控制系统能够充足的利用系统CPU，精确地处理存储器中易失性用户大数据。该系统具有超强的工作能力，值得推广使用。

Abstract:

Traditional parallel processing control systems have low CPU utilization when dealing with large data of volatile users in memory, resulting in poor processing and control precision. In order to solve this problem, a new large data parallel processing control system is designed. The hardware and software of the system are designed separately. The structure relationship of each component in the control system is analyzed, and the system bus and the central processing unit are designed emphatically. The software part is divided into opening files, updating files, monitoring operation and data. Join the four step. In order to test the feasibility of the system, the experimental results show that the designed parallel processing control system can make full use of the system CPU and accurately process the large data of volatile users in the memory. The system has super working ability and is worthy of popularization and application.