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Real-time distributed computing system for modeling of physical processesстатья
Информация о цитировании статьи получена из
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Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 29 сентября 2021 г.
- Авторы: Bychkov V., Dembitsky N.
- Журнал: Journal of Physics: Conference Series
- Том: 1560
- Номер: 012069
- Год издания: 2020
- Издательство: IOP Publishing
- Местоположение издательства: [Bristol, UK], England
- Первая страница: 1
- Последняя страница: 10
- DOI: 10.1088/1742-6596/1560/1/012069
- Аннотация: Modern physical experiment imposes stringent requirements on the speed of computing devices built into a experimental setup. The purpose of them is to manage the simulated processes in a timely manner synchronized with the rate of parameters change. Coordinated by the interaction of physical and computational processes in the experiment most often determines the receipt of adequate results. At developing of control systems for experimental installations, not only calculations of functional characteristics and dependencies are required, but also a logical analysis of the incoming information. Survey of a large number of sensors, the need to control of numerous devices and physical installations leads to an avalanche of the software growth, slowing down information traffic, and increasing of the computing load on computers. All this complicates the task of coordinating of computational and physical processes in the experiment, and reduces the reliability of control systems. The proposed approach to increasing the efficiency of computing systems is based on the distribution of computers within the experimental setup. Methods of continuum computing devices embedding into the control of interacting processes and their transformation into one of the links in the system are considered. On the basis of continuum processors, a hardware implementation of a distributed knowledge processing system is created, which is built into the complex of control and management tools for complex experimental installations.
- Добавил в систему: Бычков Владимир Львович