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SPECIALISED COMPUTATIONAL PLATFORM FOR SYSTEM DYNAMICS

Aleksandr Penskoi

First published: 2018-06-20https://doi.org/10.5593/sgem2018/2.1/s07.090View metrics

Abstract

Actual tasks in development, configuration, utilisation and support of complex technical, economic and natural systems require a deep understanding of its internal processes. System dynamics discipline is devoted to that problem and let to researching and analysis the complex systems behaviour. The base of it is a numerical method for dynamic system modelling. Modelling processes for real systems require significant computational resources (time and power consumption). Authors provide the approach to the optimisation of system dynamics modelling process by using the reconfigurable computing platform NITTA and appropriated CAD system. FPGA is the computational basis of the platform, which allows using a specialised computing microarchitecture for improving resources utilisation and reducing modelling time. The principles of model-oriented engineering, hardware-software codesign and high-level synthesis is the platform foundation. That decision makes the modelling tool easy to use and transparency for non-FPGA developers. In the article presents an analysis of the modelling process features, describes actual instrumental trends in system dynamics area. The solution of the optimisation problem based on the NITTA computing platform is described, as well as core points of its organisation. The developed test bench is described.

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Publication details

Title
SPECIALISED COMPUTATIONAL PLATFORM FOR SYSTEM DYNAMICS
Authors
Aleksandr Penskoi
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2018
Pages
709-716
SWS Citekey
Penskoi20187709716
ISSN
1314-2704
ISBN
978-619-7408-39-3
Language
en
Publication type
Conference Paper
Keywords
System DynamicsFPGAHardware accelerationReal-timeHardware-in-the-loop
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