Titlebook: Embedded Computer Systems: Architectures, Modeling, and Simulation; 19th International C Dionisios N. Pnevmatikatos,Maxime Pelcat,Matthias

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Klinisch-chemische Laborverfahren,N model often requires very intensive computational resources. For edge incremental learning, more energy efficient learning solutions are called for. Heterogeneous computing is more power efficient, and has been increasingly popular for embedded platforms. Therefore, how to deploy training models o

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Anhang: Medizinisch-ethische Richtlinien,ared to a cloud solution. As most edge devices are memory- and compute-constrained, they cannot store and execute a complete Deep Neural Network (DNN). One possible solution is to distribute the DNN across multiple edge devices. For a complete distribution, both fully-connected and feature- and weig

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Medizinische Grundkenntnisse für HeilberufeShor’s algorithm is expected in the near-to-medium future. Lattice-based PQC algorithms are among the most promising candidates discussed today, due to their performance and versatility. In this paper, we demonstrate fault sensitivity analysis (FSA) of circuit blocks used in lattice-based cryptograp

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https://doi.org/10.1007/978-3-540-72352-3ng asymmetric many-core processors are expected to combine hundreds of cores belonging to different types. However, the accompanying task-to-core mapping schedules are the key to achieving the full potential of such processors. Run-time scheduling on asymmetric processors is a much harder problem to

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W. Eisenmenger,H.-D. Lippert,U. Wandlogeneous-ISA architectures with cores implementing different ISAs. As diversity of execution cores grows, predictive models become of paramount importance for scheduling and resource allocation. In this paper, we investigate the capabilities of performance predictors in a heterogeneous-ISA setting,

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https://doi.org/10.1007/978-3-642-87467-3, frequently used for this task, fail to explore the intrinsic redundancy present in videos: similarity between sequential frames means that analyzing all frames can be avoided. On top of that, while several hardware solutions for low-energy execution have been proposed, they require extra or dedica

FLEET

https://doi.org/10.1007/978-3-642-97804-3refore, a powerful and energy demanding processing core with an operating system is needed to achieve high data rates. In communication systems that are placed in a high temperature environment, e.g. electronics close to car engines or in aerospace applications, installation space is limited, temper

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https://doi.org/10.1007/978-3-322-97049-7neration cooling and thermal management solutions. However, extending existing thermal models, or designing new ones to account for new cooling solutions, requires parameter identification as well as a validation phase to ensure correctness of the results. In this paper, we propose a flexible soluti