Höchste Rechenleistung für mehr Intelligenz/Highest computing power for greater/more intelligence - Many-Core computers raise performance and reliability

2015 ◽  
Vol 105 (05) ◽  
pp. 342-347
Author(s):  
J. Papenfort ◽  
H. Zabel ◽  
U. Frank
Keyword(s):  
Time Use ◽  
Time Delays ◽  
Control Technology ◽  
Computing Power ◽  
Multiple Cores ◽  
Deterministic Control ◽  
Automation Technology ◽  
Many Core ◽  
Technology Control ◽  
Efficiency And Reliability

Schnelle, hoch deterministische Steuerungstechnik in Verbindung mit Many-Core-Rechnern steigert die Effizienz und Zuverlässigkeit von Anlagen. Das it’s OWL-Spitzencluster-Pilotprojekt „efa – eXtreme Fast Automation“ erforscht den echtzeitfähigen Einsatz von Many-Core-Rechnern in der Automatisierung. Steuerungsaufgaben sollen so auf die Cores verteilt werden, dass komplexe zeitintensive Berechnungen auf mehrere Kerne verteilt, innerhalb kürzester aufeinander abgestimmter Zyklen bearbeitet und damit Wartezeiten eliminiert werden.   Fast, highly deterministic control technology in conjunction with Many-Core computers increases the efficiency and reliability of plants. The it’s OWL project “efa - eXtreme Fast Automation“ of the best cluster competition explores the real-time use of Many-Core computers in automation technology. Control tasks should be distributed to the cores to divide complex time-consuming calculations to multiple cores, to process within shortest coordinated cycles and thereby to eliminate time delays.

scholarly journals A Control Method to Balance the Efficiency and Reliability of a Time-Delayed Pump-Valve System

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Zhounian Lai ◽  
Peng Wu ◽  
Shuai Yang ◽  
Dazhuan Wu
Keyword(s):  
Time Delays ◽  
Control Method ◽  
Sliding Mode ◽  
Mimo System ◽  
Smith Predictor ◽  
Free System ◽  
Pump Operation ◽  
Operation Conditions ◽  
Speed Regulation ◽  
Efficiency And Reliability

The efficiency and reliability of pumps are highly related to their operation conditions. The concept of the optimization pump operation conditions is to adjust the operation point of the pump to obtain higher reliability at the cost of lower system efficiency using a joint regulation of valve and frequency convertor. This paper realizes the control of the fluid conveying system based on the optimization results. The system is a nonlinear Multi-Input Multioutput (MIMO) system with time delays. In this paper, the time delays are separated from the system. The delay-free system is linearized using input-output linearization and controlled using a sliding mode method. A modified Smith predictor is used to compensate time delays of the system. The control strategy is validated to be effective on the test bench. The comparison of energy consumption and operation point deviation between conventional speed regulation and the new method is presented.

Two Degree of Freedom Model Driven PID Control for Unstable Process with Time Delays

2013 ◽  
Vol 339 ◽  
pp. 45-49
Author(s):  
Li Xiang Zhang
Keyword(s):  
Control System ◽  
Control Systems ◽  
Pid Control ◽  
Time Delays ◽  
Degree Of Freedom ◽  
Control Technology ◽  
Model Driven ◽  
Unstable Process ◽  
Unstable Processes ◽  
Two Degree Of Freedom

PID control systems are the most commonly used control technology in industries. However, there are issues on control performances for the unstable process with time delays. In order to improve the control performances of PID control systems, a new two degree of freedom model driven PID control system is introduced in this paper and it is used to the unstable processes with time delay. The model driven PID control is capable of stabilizing with unstable processes by using PD feedback, regulating quickly for disturbance and tracking quickly to the change of set point. With case studies comparing with conventional PID control systems was done.

The Application of Motion Control Technology to Textile Production

2011 ◽  
Vol 331 ◽  
pp. 433-436
Author(s):  
Ming Han ◽  
Chang Yun Miao ◽  
Jing Min Chang
Keyword(s):  
Control Theory ◽  
Motion Control ◽  
Science And Technology ◽  
Control Technology ◽  
Textile Production ◽  
Technology Control

With the development of science and technology, Control Theory has been updating and progressing constantly. Motion Control Technology is continually going into all fields and in which it is pushed forward rapidly. It is playing a more and more important role and has found an increasingly wide utilization in the textile production. This paper expounds Motion Control Theory and its application, as well as some living examples of the application of Motion Control Technology to the textile production.

In Celebration of the New “International Journal of Automation Technology”

2007 ◽  
Vol 1 (1) ◽  
pp. 5-5
Author(s):  
Sojiro Tsuchiya
Keyword(s):  
Production Systems ◽  
Automated System ◽  
Control Technology ◽  
System Technology ◽  
Global Business ◽  
Industrial Firms ◽  
Practical Applications ◽  
Software Technology ◽  
Automation Technology

I’m especially pleased to send you my congratulations on the publication of “International Journal of Automation Technology”. The automation technology has the extremely clear purpose of replacing human work with automated system. However, the automation technology requires various kinds of technologies, ranging from mechanical technology, electronics, control technology, software technology for computer, to system technology necessary for those to be functioned effectively. Therefore, people, who start to learn the automation technology or keep up on it, cannot help gathering fragmentary information from many kinds of technology fields. Additionally, relationship and collaboration between academic institute and industries are important issues that mean industrial firms investigate mostly practical applications of automated machines and production systems, while mainly universities and institutes research fundamental and elemental technologies. With these backgrounds, it has been tough to grasp its whole picture of the automation technology in general, although some of leading universities, institutes and industry firms themselves advance and accumulate the automation technology systematically. This time, through publishing “International Journal of Automation Technology”, I believe the automation technology must become popular and familiar for a great number of engineers, researchers and students. Especially, this publication is delightful news for young engineers, who work toward advanced automation in global business. I greatly expect this journal play a roll of network among engineers and researchers working on the automation in various technology fields, to help upskilling and stimulation for them, and to contribute the development of the automation technology itself as well.

Remote Control of Manipulator Electronic System

2014 ◽  
Vol 484-485 ◽  
pp. 391-395
Author(s):  
Na Yang
Keyword(s):  
Remote Control ◽  
Human Activity ◽  
Remote Monitoring ◽  
Human Activities ◽  
Electronic System ◽  
Control Technology ◽  
Control Techniques ◽  
And Performance ◽  
Automation Technology ◽  
Human Exploration

With the continuous development of control technology, various areas of human activity, such as aviation, aerospace, exploration, production and other control techniques are demanding for increasingly higher requirements, one of which is on the remote control technology needs, especially remote control robot or facilities produced in accordance with the requirements to make certain human activities, productions and make them ordered to complete various tasks. We believe that with further improvement of automation technology and the advancement of human exploration, there will be more and more areas introduced to the remote control, and there will be new requirements for quality and performance of remote monitoring.

scholarly journals swHPFM: Refactoring and Optimizing the Structured Grid Fluid Mechanical Algorithm on the Sunway TaihuLight Supercomputer

2019 ◽  
Vol 10 (1) ◽  
pp. 72 ◽  
Author(s):  
Jingbo Li ◽  
Xingjun Zhang ◽  
Jianfeng Zhou ◽  
Xiaoshe Dong ◽  
Chuhua Zhang ◽  
...  
Keyword(s):  
High Performance ◽  
Large Scale ◽  
Axial Compressor ◽  
Computing Power ◽  
Structured Grid ◽  
Compressor Rotor ◽  
Sunway Taihulight ◽  
Computing Performance ◽  
Computing Platforms ◽  
Many Core

Fluid mechanical simulation is a typical high-performance computing problem. Due to the development of high-precision parallel algorithms, traditional computing platforms are unable to satisfy the computing requirements of large-scale algorithms. The Sunway TaihuLight supercomputer, which uses the SW26010 processor as its computing node, provides a powerful computing performance for this purpose. In this paper, the Sunway hierarchical parallel fluid machinery (swHPFM) framework and algorithm are proposed. Using the proposed framework and algorithm, engineers can exploit the parallelism of the existing fluid mechanical algorithm and achieve a satisfactory performance on the Sunway TaihuLight. In the framework, a suitable mapping of the model and the system architecture is developed, and the computing power of the SW26010 processor is fully utilized via the scratch pad memory (SPM) access strategy and serpentine register communication. In addition, the framework is implemented and tested by the axial compressor rotor simulation algorithm on a real-world dataset with Sunway many-core processors. The results demonstrate that we can achieve a speedup of up to 8.2×, compared to the original ported version, which only uses management processing elements (MPEs), as well as a 1.3× speedup compared to an Intel Xeon E5 processor. The proposed framework is useful for the optimization of fluid mechanical algorithm programs on computing platforms with a heterogeneous many-core architecture.

scholarly journals Scqubits: a Python package for superconducting qubits

Quantum ◽  
2021 ◽  
Vol 5 ◽  
pp. 583
Author(s):  
Peter Groszkowski ◽  
Jens Koch
Keyword(s):  
Spectral Data ◽  
Hilbert Spaces ◽  
Energy Levels ◽  
Superconducting Qubits ◽  
Energy Spectra ◽  
Matrix Elements ◽  
Computing Power ◽  
Superconducting Circuits ◽  
Multiple Cores ◽  
Python Package

scqubits is an open-source Python package for simulating and analyzing superconducting circuits. It provides convenient routines to obtain energy spectra of common superconducting qubits, such as the transmon, fluxonium, flux, cos(2ϕ) and the 0-π qubit. scqubits also features a number of options for visualizing the computed spectral data, including plots of energy levels as a function of external parameters, display of matrix elements of various operators as well as means to easily plot qubit wavefunctions. Many of these tools are not limited to single qubits, but extend to composite Hilbert spaces consisting of coupled superconducting qubits and harmonic (or weakly anharmonic) modes. The library provides an extensive suite of methods for estimating qubit coherence times due to a variety of commonly considered noise channels. While all functionality of scqubits can be accessed programatically, the package also implements GUI-like widgets that, with a few clicks can help users both create relevant Python objects, as well as explore their properties through various plots. When applicable, the library harnesses the computing power of multiple cores via multiprocessing. scqubits further exposes a direct interface to the Quantum Toolbox in Python (QuTiP) package, allowing the user to efficiently leverage QuTiP's proven capabilities for simulating time evolution.

Multi-Core Architecture and Network on Chip: Applications and Challenges

2020 ◽  
Vol 17 (1) ◽  
pp. 239-245
Author(s):  
Maddula N. V. Sesha Saiteja ◽  
K. Sai Sumanth Reddy ◽  
D. Radha ◽  
Minal Moharir
Keyword(s):  
Computer Architecture ◽  
Network On Chip ◽  
Single Chip ◽  
Computing Technology ◽  
Core Technology ◽  
Multiple Cores ◽  
Research Problems ◽  
On Chip ◽  
Many Core ◽  
Day By Day

Technology improves performance and reduces in size day by day. Reduction in size can increase the density and which in turn can improve the performance. These statements suit very well for the computer architecture improvement. The whole System on Chip (SoC) brought the concept of multiple cores on a single chip. The multi-core or many-core architectures are the future of computing. Technology has improved in reducing the size and increasing the density, but improving the performance to an expectation of including more cores is a challenge of many-core technology. Utilization of all cores and improving the performance of execution by these cores are the challenges to be addressed in a many-core technology. This paper discusses the basics of many core architecture, comparison and applications. Further, it covers the basics of Network on Chip (NoC), architectural components, and various views of current Network on Chip research problems. Research problems include improving the performance of communication by avoiding congested path in routing.

scholarly journals A time-efficient data offloading method with privacy preservation for intelligent sensors in edge computing

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Zhanyang Xu ◽  
Xihua Liu ◽  
Gaoxing Jiang ◽  
Bowei Tang
Keyword(s):  
Privacy Preservation ◽  
Edge Computing ◽  
Computing Power ◽  
Time Consumption ◽  
Privacy Leakage ◽  
Intelligent Sensors ◽  
Private Data ◽  
Strength Pareto Evolutionary Algorithm ◽  
Efficient Data ◽  
Efficiency And Reliability

Abstract Over the past years, with the development of hardware and software, the intelligent sensors, which are deployed in the wearable devices, smart phones, and etc., are leveraged to collect the data around us. The data collected by the sensors is analyzed, and the corresponding measures will be implemented. However, due to the limited computing resources of the sensors, the overload resource usage may occur. In order to satisfy the requirements for strong computing power, edge computing, which emerges as a novel paradigm, provides computing resources at the edge of networks. In edge computing, the computing tasks could be offloaded from the sensors to the other sensors for processing. Despite the advantages of edge computing, during the offloading process of computing tasks between sensors, private data, including identity information and address, may be leaked, which threatens personal security. Hence, it is important to avoid privacy leakage in edge computing. In addition, the time consumption of offloading computing tasks affects the using experience of customers, and low time consumption makes contributions to the development of applications which are strict with time. To satisfy the above requirements, a time-efficient offloading method (TEO) with privacy preservation for intelligent sensors in edge computing is proposed. Technically, the time consumption and the offloading of privacy data are analyzed in a formalized way. Then, an improved of Strength Pareto Evolutionary Algorithm (SPEA2) is leveraged to optimize the average time consumption and average privacy entropy jointly. At last, abundant experimental evaluations are conducted to verify efficiency and reliability of our method.

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