scholarly journals A comprehensive zero-copy architecture for high performance distributed data acquisition over advanced network technologies for the CMS experiment

2012 ◽  
Author(s):  
Gerry Bauer ◽  
Ulf Behrens ◽  
James Branson ◽  
Sebastian Bukowiec ◽  
Olivier Chaze ◽  
...  
Keyword(s):  
Data Acquisition ◽  
High Performance ◽  
Distributed Data ◽  
Cms Experiment ◽  
Zero Copy ◽  
Network Technologies

A Comprehensive Zero-Copy Architecture for High Performance Distributed Data Acquisition Over Advanced Network Technologies for the CMS Experiment

2013 ◽  
Vol 60 (6) ◽  
pp. 4595-4602 ◽  
Author(s):  
Gerry Bauer ◽  
Ulf Behrens ◽  
James Branson ◽  
Sebastian Bukowiec ◽  
Olivier Chaze ◽  
...  
Keyword(s):  
Data Acquisition ◽  
High Performance ◽  
Distributed Data ◽  
Cms Experiment ◽  
Zero Copy ◽  
Network Technologies

A New Design of Distributed and Smart Automatic Weather Station

2012 ◽  
Vol 241-244 ◽  
pp. 566-570
Author(s):  
Fei Long Huang ◽  
Yan Li He ◽  
Wei Yan Lei
Keyword(s):  
Data Acquisition ◽  
High Performance ◽  
Distributed Data ◽  
Weather Station ◽  
Automatic Weather Station ◽  
Correlation Models ◽  
Efficient Data ◽  
Hardware Configuration ◽  
System Breakdown ◽  
New Sensors

Aiming at development and requirement of environmental monitoring, automatic weather station (AWS) must be more powerful and reliable. With distributed data acquisition nodes, new AWS extends and adds new sensors easily. Using protective power supply to each node, new system has high performance of lightning protection, which will not let system breakdown for any node crash. Three-stage automatic self-checking for node state is included, which makes failure diagnosis efficient. Data quality checking node is created in the new design. By databases and correlation models, it provides data self-checking functions for unattended AWS. Defects of old design such as fixed hardware configuration and centralized data acquisition are overcome. Flexibility and stability of AWS are improved, and data reliability of unattended AWS is improved.

МЕТОДЫ ДОСТИЖЕНИЯ МАКСИМАЛЬНОЙ ЭФФЕКТИВНОСТИ ПЛАТФОРМЫ ПРОТОТИПИРОВАНИЯ ВЫСОКОПРОИЗВОДИТЕЛЬНЫХ СИСТЕМ НА КРИСТАЛЛЕ НА ЗАДАЧАХ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА

2020 ◽  
Vol 96 (3s) ◽  
pp. 585-588
Author(s):  
С.Е. Фролова ◽  
Е.С. Янакова
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Computer Vision ◽  
High Performance ◽  
Systems On Chip ◽  
High Performance Systems ◽  
On Chip ◽  
Network Technologies ◽  
Neural Network Technologies

Предлагаются методы построения платформ прототипирования высокопроизводительных систем на кристалле для задач искусственного интеллекта. Изложены требования к платформам подобного класса и принципы изменения проекта СнК для имплементации в прототип. Рассматриваются методы отладки проектов на платформе прототипирования. Приведены результаты работ алгоритмов компьютерного зрения с использованием нейросетевых технологий на FPGA-прототипе семантических ядер ELcore. Methods have been proposed for building prototyping platforms for high-performance systems-on-chip for artificial intelligence tasks. The requirements for platforms of this class and the principles for changing the design of the SoC for implementation in the prototype have been described as well as methods of debugging projects on the prototyping platform. The results of the work of computer vision algorithms using neural network technologies on the FPGA prototype of the ELcore semantic cores have been presented.

Using computer clusters for processing spatial-temporal data streams in data acquisition systems

2018 ◽  
Vol 935 (5) ◽  
pp. 54-63
Author(s):  
A.A. Maiorov ◽  
A.V. Materuhin ◽  
I.N. Kondaurov
Keyword(s):  
Data Acquisition ◽  
Data Streams ◽  
Spatial Data ◽  
High Performance ◽  
Temporal Data ◽  
Cyberphysical Systems ◽  
Software Environment ◽  
Computer Clusters ◽  
Data Acquisition Systems ◽  
Essential Components

Geoinformation technologies are now becoming “end-to-end” technologies of the new digital economy. There is a need for solutions for efficient processing of spatial and spatio-temporal data that could be applied in various sectors of this new economy. Such solutions are necessary, for example, for cyberphysical systems. Essential components of cyberphysical systems are high-performance and easy-scalable data acquisition systems based on smart geosensor networks. This article discusses the problem of choosing a software environment for this kind of systems, provides a review and a comparative analysis of various open source software environments designed for large spatial data and spatial-temporal data streams processing in computer clusters. It is shown that the software framework STARK can be used to process spatial-temporal data streams in spatial-temporal data streams. An extension of the STARK class system based on the type system for spatial-temporal data streams developed by one of the authors of this article is proposed. The models and data representations obtained as a result of the proposed expansion can be used not only for processing spatial-temporal data streams in data acquisition systems based on smart geosensor networks, but also for processing spatial-temporal data streams in various purposes geoinformation systems that use processing data in computer clusters.

scholarly journals Deployment and future prospects of high performance diagnostics featuring serial I/O (SIO) data acquisition (DAQ) at ASDEX Upgrade

2012 ◽  
Vol 87 (12) ◽  
pp. 2145-2151 ◽  
Author(s):  
K. Behler ◽  
H. Blank ◽  
H. Eixenberger ◽  
M. Fitzek ◽  
A. Lohs ◽  
...  
Keyword(s):  
Data Acquisition ◽  
High Performance ◽  
Future Prospects ◽  
Performance Diagnostics

scholarly journals The Data Acquisition System of the Na62 Experiment at Cern

2019 ◽  
Vol 214 ◽  
pp. 01037
Author(s):  
Marco Boretto
Keyword(s):  
Data Acquisition ◽  
High Performance ◽  
Branching Ratio ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Trigger System ◽  
Level Trigger ◽  
Decay Products ◽  
Ethernet Network ◽  
Trigger Decision

The aim of the NA62 experiment is to study the extreme rare kaon decay K+ ? π+vv and to measure its branching ratio with a 10% accuracy. In order to do so, a very high intensity beam from the CERN SPS is used to produce charged kaons whose decay products are detected by many detectors installed along a 60 m decay region. The NA62 Data Acquisition system (DAQ) exploits a multi-level trigger system; following a Level0 (L0) trigger decision, 1 MHz data rate from about 60 sources is read by a PC-farm, the partial event is built and then passed through a series of Level1 (L1) algorithms to further reduce the trigger rate. Events passing this level are completed with the missing, larger, data sources (~400 sources) at the rate of 100 KHz. The DAQ is built around a high performance ethernet network interconnecting the detectors to a farm of 30 servers. After an overall description of the system design and the main implementation choices that allowed to reach the required performance and functionality, this paper describes the overall behaviour of the DAQ in the 2017 data taking period. It then concludes with an outlook of possible improvements and upgrades that may be applied to the system in the future.

Remote Control for the HT-7 Distributed Data Acquisition System

2003 ◽  
Vol 5 (4) ◽  
pp. 1881-1886 ◽  
Author(s):  
Yue Dongli ◽  
Luo Jiarong ◽  
Wang Feng ◽  
Zhu Lin
Keyword(s):  
Remote Control ◽  
Data Acquisition ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Distributed Data
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