A method for evaluating the performance of a real-time multiprocessor computing system

2021 ◽  
Author(s):  
Sergey Efimov ◽  
Vitalij Terskov ◽  
Olesya Serikova ◽  
Anastasiya Popova
Keyword(s):  
Real Time ◽  
Computing System ◽  
Multiprocessor Computing System

scholarly journals Vision based hardware-software real-time control system for autonomous landing of an UAV

2020 ◽  
Author(s):  
Krzysztof Blachut ◽  
Hubert Szolc ◽  
Mateusz Wasala ◽  
Tomasz Kryjak ◽  
Marek Gorgon
Keyword(s):  
Control System ◽  
Real Time ◽  
Heterogeneous Computing ◽  
Computing System ◽  
Video Stream ◽  
Real Time Control ◽  
Time Data ◽  
Autonomous Landing ◽  
Computing Platform ◽  
Time Control

In this paper we present a vision based hardware-software control system enabling autonomous landing of a mul-tirotor unmanned aerial vehicle (UAV). It allows the detection of a marked landing pad in real-time for a 1280 x 720 @ 60 fps video stream. In addition, a LiDAR sensor is used to measure the altitude above ground. A heterogeneous Zynq SoC device is used as the computing platform. The solution was tested on a number of sequences and the landing pad was detected with 96% accuracy. This research shows that a reprogrammable heterogeneous computing system is a good solution for UAVs because it enables real-time data stream processing with relatively low energy consumption.

A Network Implementation of Real-Time Dynamic Simulation With Interactive Animated Graphics

1988 ◽  
Author(s):  
M. W. Dubetz ◽  
J. G. Kuhl ◽  
E. J. Haug
Keyword(s):  
Real Time ◽  
Dynamic Simulation ◽  
High Speed ◽  
Dynamic Performance ◽  
Data Communication ◽  
Computing System ◽  
Data Sets ◽  
Parallel Processor ◽  
Network Computing ◽  
Time Dynamic

Abstract This paper presents a network based implementation of real-time dynamic simulation methods. An interactive animated graphics environment is presented that permits the engineer to view high quality animated graphics rendering of dynamic performance, to interact with the simulation, and to study the effects of design variations, while the simulation is being carried out. An industry standard network computing system is employed to interface the parallel processor that carries out the dynamic simulation and a high speed graphics processor that creates and displays animated graphics. Multi-windowing and graphics processing methods that are employed to provide visualization and operator control of the simulation are presented. A vehicle dynamics application is used to illustrate the methods developed and to analyze communication bandwidth requirements for implementation with a compute server that is remote from the graphics workstation. It is shown that, while massive data sets are generated on the parallel processor during realtime dynamic simulation and extensive graphics data are generated on the workstation during rendering and display, data communication requirements between the compute server and the workstation are well within the capability of existing networks.

GENE LOSS PREDICTION BASED ON GENOMIC STRUCTURE

2020 ◽  
pp. 258-260
Author(s):  
L. Rubanov ◽  
G. Shilovsky ◽  
A. Seliverstov ◽  
O. Zverkov
Keyword(s):  
Efficient Algorithm ◽  
Gene Loss ◽  
Genomic Structure ◽  
Computing System ◽  
Mutual Arrangement ◽  
New Approach ◽  
Russian Academy Of Sciences ◽  
Loss Prediction ◽  
Academy Of Sciences ◽  
Multiprocessor Computing System

We have developed an efficient algorithm implemented in a program for a multiprocessor computing system, which makes it possible to discover genes lost or acquired during the evolution of most species from a given set. The new approach takes into account the mutual arrangement of genes on a chromosome and allows us to simultaneously consider hundreds of species. The research was carried out using supercomputers at the Joint Supercomputer Center of the Russian Academy of Sciences (JSCC RAS).

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