Sleptsov net based reliable embedded system design on microcontrollers and FPGAs

We present a novel methodology of embedded systems design based on Sleptsov net (SN) formalism. We use an SN as a graphical language of concurrent programming and as a modeling language for plant specification and integrated model composition. Among the advantages, we mention the applicability of formal verification techniques for reliable embedded system design, vivid graphical language, and compatibility of the tool-chain with different classes of hardware. Composed tool-chains are supplied with our ad-hoc tools for embedded systems design on both microcontrollers and FPGAs. We develop a software SN machine for microcontrollers and a generator of Verilog programs for FPGAs. Compared to known SN machine implementations on desktop computers and GPUs, we developed an indexed sparse matrix data structure to optimize both memory usage and performance. Benchmarks on real-life Sleptsov net programs show the robustness of the approach with considerably higher performance on FPGA.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/icess64277.2024.00011
Citations
2
Primary Topic
Sensor Technology and Measurement Systems
Type
article
Field-Weighted Citation Impact
0.70

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article

Sleptsov net based reliable embedded system design on microcontrollers and FPGAs

Dmitry A. Zaitsev, Si Zhang, Ruiyao Xu, Ding Liu
2 citations
Sensor Technology and Measurement Systems
0.70
article

Sleptsov net based reliable embedded system design on microcontrollers and FPGAs

Dmitry A. Zaitsev, Si Zhang, Ruiyao Xu, Ding Liu
article en
2 citations

Abstract

We present a novel methodology of embedded systems design based on Sleptsov net (SN) formalism. We use an SN as a graphical language of concurrent programming and as a modeling language for plant specification and integrated model composition. Among the advantages, we mention the applicability of formal verification techniques for reliable embedded system design, vivid graphical language, and compatibility of the tool-chain with different classes of hardware. Composed tool-chains are supplied with our ad-hoc tools for embedded systems design on both microcontrollers and FPGAs. We develop a software SN machine for microcontrollers and a generator of Verilog programs for FPGAs. Compared to known SN machine implementations on desktop computers and GPUs, we developed an indexed sparse matrix data structure to optimize both memory usage and performance. Benchmarks on real-life Sleptsov net programs show the robustness of the approach with considerably higher performance on FPGA.

Xidian University (CN), University of Derby (GB)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 25%
Sensor Technology and Measurement Systems
0.70
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