Information Processing Factory 2.0 - Self-awareness for Autonomous Collaborative Systems

Sperling, Nora; Bendrick, Alex; Stöhrmann, Dominik; Ernst, Rolf; Donyanavard, Bryan; Maurer, Florian; Lenke, Oliver; Surhonne, Anmol; Herkersdorf, Andreas; Amer, Walaa; de Melo, Caio Batista; Chen, Ping-Xiang; Hoang, Quang Anh; Karami, Rachid; Maity, Biswadip; Nikolian, Paul; Rakka, Mariam; Seo, Dongjoo; Yi, Saehanseul; Seo, Minjun; Dutt, Nikil; Kurdahi, Fadi

doi:10.23919/date56975.2023.10137006

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Cited by 2 publications

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KDTree-SOM: Self-organizing Map based Anomaly Detection for Lightweight Autonomous Embedded Systems

Chen,

Seo,

Maity

et al. 2024

Proceedings of the Great Lakes Symposium on VLSI 2024

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KDTree-SOM: Self-organizing Map based Anomaly Detection for Lightweight Autonomous Embedded Systems

Chen,

Seo,

Maity

et al. 2024

Proceedings of the Great Lakes Symposium on VLSI 2024

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Machine learning in run-time control of multicore processor systems

Maurer

Thoma

Surhonne

et al. 2023

It - Information Technology

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Modern embedded and cyber-physical applications consist of critical and non-critical tasks co-located on multiprocessor systems on chip (MPSoCs). Co-location of tasks results in contention for shared resources, resulting in interference on interconnect, processing units, storage, etc. Hence, machine learning-based resource managers must operate even non-critical tasks within certain constraints to ensure proper execution of critical tasks. In this paper we demonstrate and evaluate countermeasures based on backup policies to enhance rule-based reinforcement learning to enforce constraints. Detailed experiments reveal the CPUs’ performance degradation caused by different designs, as well as their effectiveness in preventing constraint violations. Further, we exploit the interpretability of our approach to further improve the resource manager’s operation by adding designers’ experience into the rule set.

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Information Processing Factory 2.0 - Self-awareness for Autonomous Collaborative Systems

Cited by 2 publications

References 22 publications

KDTree-SOM: Self-organizing Map based Anomaly Detection for Lightweight Autonomous Embedded Systems

KDTree-SOM: Self-organizing Map based Anomaly Detection for Lightweight Autonomous Embedded Systems

Machine learning in run-time control of multicore processor systems

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