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2022 ◽  
Vol 15 (2) ◽  
pp. 1-35
Atakan Doğan ◽  
Kemal Ebcioğlu

Hardware-accelerated cloud computing systems based on FPGA chips (FPGA cloud) or ASIC chips (ASIC cloud) have emerged as a new technology trend for power-efficient acceleration of various software applications. However, the operating systems and hypervisors currently used in cloud computing will lead to power, performance, and scalability problems in an exascale cloud computing environment. Consequently, the present study proposes a parallel hardware hypervisor system that is implemented entirely in special-purpose hardware, and that virtualizes application-specific multi-chip supercomputers, to enable virtual supercomputers to share available FPGA and ASIC resources in a cloud system. In addition to the virtualization of multi-chip supercomputers, the system’s other unique features include simultaneous migration of multiple communicating hardware tasks, and on-demand increase or decrease of hardware resources allocated to a virtual supercomputer. Partitioning the flat hardware design of the proposed hypervisor system into multiple partitions and applying the chip unioning technique to its partitions, the present study introduces a cloud building block chip that can be used to create FPGA or ASIC clouds as well. Single-chip and multi-chip verification studies have been done to verify the functional correctness of the hypervisor system, which consumes only a fraction of (10%) hardware resources.

Electronics ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 215
Quentin Berthet ◽  
Joachim Schmidt ◽  
Andres Upegui

Nowadays, one of the main challenges in computer architectures is scalability; indeed, novel processor architectures can include thousands of processing elements on a single chip and using them efficiently remains a big issue. An interesting source of inspiration for handling scalability is the mammalian brain and different works on neuromorphic computation have attempted to address this question. The Self-configurable 3D Cellular Adaptive Platform (SCALP) has been designed with the goal of prototyping such types of systems and has led to the proposal of the Cellular Self-Organizing Maps (CSOM) algorithm. In this paper, we present a hardware architecture for CSOM in the form of interconnected neural units with the specific property of supporting an asynchronous deployment on a multi-FPGA 3D array. The Asynchronous CSOM (ACSOM) algorithm exploits the underlying Network-on-Chip structure to be provided by SCALP in order to overcome the multi-path propagation issue presented by a straightforward CSOM implementation. We explore its behaviour under different map topologies and scalar representations. The results suggest that a larger network size with low precision coding obtains an optimal ratio between algorithm accuracy and FPGA resources.

Jinwen Li ◽  
Jie Zhang

Aiming at the problems of long response time and poor anti-interference ability of traditional vacuum nano-coating automatic control system, a design of vacuum nano-coating automatic control system based on AVR single-chip microcomputer is proposed. The use of ATmega128L microcontroller and Harvard architecture improves the parallel processing efficiency of the microcontroller. Select the transient voltage suppression diode to protect the power supply of the single-chip microcomputer, optimize the communication circuit, connect an external encryptor to realize the data encryption function, increase the filtering program and optimize the binary code processing function. Using PID (Packet Identifier) control algorithm, the design of nano-coating vacuum automatic control system based on AVR single-chip microcomputer is realized. Compared with the traditional system, when the simulation model and system parameters of the control system constructed in the environment change, the proposed system can be stabilized within 15 seconds, and can be stabilized for 13 seconds after the interference signal is added. The response time of the system is longer. Shorter, stronger anti-interference ability, more suitable for automatic control of vacuum nano-coating.

2022 ◽  
Vol 904 ◽  
pp. 43-49
Bai Xue Fu ◽  
Wei Wang ◽  
Zi Yuan Cheng ◽  
Yu Bao

Using ultrasonic time difference method to test automobile fuel consumption, the test accuracy mainly depends on the testing system timing accuracy and ultrasonic flow sensor output signal-to-noise ratio. At present, the timing accuracy of the single-chip can reach the level of picosecond, and the noise mixed in the output signal of the ultrasonic converter is the main factor affecting the accuracy of fuel consumption testing. When the receiving signal contains noise, it will cause the signal amplitude to fluctuate, making the measurement time error. The analysis of same-frequency noise, circuit noise and colored noise is carried out, and the feasible measures to eliminate noise are put forward to provide reference for accurate calculation of sound and development of high-precision automobile fuel consumption test instruments.

2022 ◽  
Vol 12 (1) ◽  
pp. 436
Shuo Jia ◽  
Zhiyuan Jiang ◽  
Binbin Jiao ◽  
Xiaochi Liu ◽  
Yijie Pan ◽  

Herein, a microfabricated millimeter-level vapor alkali cell with a high hermeticity is fabricated through a wet etching and single-chip anodic bonding process. The vapor cell, containing Rb and N2, was investigated in a coherent population trapping (CPT) setup for the application of a chip-scale atomic clock (CSAC). The contrast of CPT resonance is up to 1.1% within the only 1 mm length of light interacting with atom. The effects of some critical external parameters on the CPT resonance, such as laser intensity, cell temperature, and buffer gas pressure, are thoroughly studied and optimized. The improved microfabricated vapor cell also exhibited great potential for other chip-scale atomic devices.

2022 ◽  
Vol 2160 (1) ◽  
pp. 012080
Kaijie Zhao ◽  
Sheng Zeng ◽  
Liangliang Zhao

Abstract When the enameled wire is winded onto the poles of the motor stator or rotor, the winding quality hugely relies on the control precision of the tension. Therefore, it is necessary to control the tension of the enameled wire in winding process. A tension control system is built with single chip microcomputer, the encoder and the servo motor. The PID feedback controller and feedforward controller are combined to form feedforward feedback controller, which using feedback information of swing angle deviation and feedforward information of wire frame position to adjust the pay off speed dynamically and control tension of enameled wire further. A procedural experimental modelling method is discussed in order to identify the feedforward model. The experiment is performed, it is found that in the typical situation of setting tension 1500 g, the tension fluctuation rate of the PID controller with feedforward model is only 2%, which is far better than that of pure PID controller with a fluctuation rate of 14%. The result shows that the proposed experimental modelling method hosts the characteristics of good accuracy, universality and applicability.

2022 ◽  
Vol 23 (1) ◽  
pp. 48-53
Badou Sene ◽  
Daniel Reiter ◽  
Herbert Knapp ◽  
Nils Pohl

2021 ◽  
pp. 399-409
Ihor Dmytriv

The concept of functional controllability of the milk ejection is considered, which makes it possible to predict the intensity of milk ejection in the online mode of the milking machine. The architecture of the functional controllability by intensity of milk ejection is developed. Input and output parameters of the structural-functional scheme of adaptive control of milk ejection intensity are described. An analytical model of milk ejection intensity based on Pearson's distribution is developed. The milk ejection intensity for different productivity and duration of cows milking is modelled. The microprocessor unit is designed using a single-chip microcontroller. It ensures the algorithm set by the central computer and implements a step of changing the pulsation frequency of 0.1 Hz, the ratio between the cycles of 0.25%, the phase shift step of 0.1 s.

2021 ◽  
pp. 91-100
Xiwen Zhang ◽  
Zhanfeng Hou ◽  
Nianzu Dai

In view of the problems of long coating time, complicated manual operation, high multi-seed rate of coated seeds, low qualified rate, and low degree of automation of control equipment in traditional rotary coating machine, a new type of rotary coating machine was designed while using LabVIEW with a complete electric control system, which can effectively improve the speed and quality of coating. The system uses single-chip microcomputer as the lower computer, LabVIEW as the upper computer, and uses programming electronic control technology to set seed coating parameters in advance, precisely control each part and achieve precise supply. Batch supply of powder and liquid greatly improves the automation and intelligence of the operating system, improves the coating efficiency, reduces the multi-seed rate and the seedless rate, and increases the coating pass rate. In order to improve the coating quality and the supply accuracy of the coating machine, the error analysis and calibration test of the seed supply system, powder supply system and liquid supply system were carried out. After the test verification, the supply error was controlled within 2% to meet the demand for precise supply. The test results show that the pass rate of the seeds coated by the new rotary coating machine is increased by 15% to 20% compared with the seeds coated by the traditional manual coating.

И. Ши

The temperature, humidity and illumination control system designed in this paper is based on Android platform. It is controlled by connecting the mobile phone wifi with the single chip microcomputer, and uploaded to the mobile phone client through wifi serial port technology. Users can collect indoor temperature and humidity data and illumination data through sensors. Through the mobile phone client to control the LED lights and relay switches of household appliances, such as the control of air conditioning, and finally achieve the goal of adjusting indoor lighting and controlling the on-off of household appliances.

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