Development of High Speed Data Acquisition System using Multiprocessor Array

近年来，随着能量的增加，高能物理实验的规模越来越大。数据采集与处理系统必须处理数据量大、数据格式复杂的问题。这对数据采集提出了更高的要求，而不是更大的数据传输容量。除了实时的数据校正和压缩外，还需要一个智能的数据预处理系统来处理大数据量。为此，利用INMOS的Transputer开发了一个多处理器系统。该微处理机具有四个相互连接的通信端口；该链路为阵列中的微型计算机节点之间提供了一种简单的连接。为了在实验环境中对该系统进行评估，设计了一种基于特里斯坦金星探测器中心漂移室命中导线信息的用于寻迹处理的阵列系统，在本研究中，我们设计并构建了接口电路…更多的是从疾控中心的读出电子设备中获取命中线数据。并开发了阵列数据并行处理的软件系统。该接口由通用控制部分和专用控制部分组成，对于其他应用，需要重新设计；被测多处理器阵列由20个Transputer节点组成，数量易于扩展。虽然，分布式处理软件的改进仍在进行中，但通过加载真实的实验数据来测量系统在当前版本的软件下的性能。结果显示，数据的平均处理时间约为几毫秒，而富士通M-780的处理时间为20毫秒。结果表明，性能足以满足目前金星实验的应用，并讨论了这一发展报告。在3月10-11日召开的下一代数据采集系统研讨会上，也报告了1990年4月9-13日在新墨西哥州圣达菲举行的90高能物理计算会议上的结果。

In the recent years, high energy physics experiments are getting the size bigger and bigger as the energy goes up. The data acquisition and processing system must deal with the large data size and complex data format. It requires advanced method for the data acquisition other than a larger capacity of the data transmission. An intelligent data preprocessing system is required to cope with the large data in addition to the data correction and compression in real time. Along this aim, a multi-processor system was developed using the TRANSPUTER of INMOS. The microprocessor has a facility of four communication ports for each other; LINK which provides an easy connection between microcomputer nodes in the array. For evaluation of such system in the experimental environment, an array system was designed to apply for the track finding processing based on the hit wire information of the central drift chamber of TRISTAN VENUS detector.In this research, we designed and built an interface circuit … More to squire the hit wire data from the CDC readout electronics. Also the software system for the parallel processing of the data in the array was developed. The interface is consist of the general control part and the dedicated part for this application which must be redesigned for the other application.The multiprocessor array under test consists of 20 TRANSPUTER nodes, the number of which is expandable easily. Although, an improvement of the distributed processing software is still under way, the performance of the system under the current version of the software were measured by loading the real experimental data. The results show the average processing time for the data is about a few milliseconds instead of 20 msec by Fujitsu M-780. The result shows the performance is enough for the present application for the VENUS experiment.A report of this development has been discussed. in the symposium on the Next Generation System of Data Acquisition in March 10-11, 1989, And the result is also reported at the conference of Computing in High Energy Physics '90 held at Santa Fe,New Mexico, April 9-13 1990. Less