Fundamentals of RTOS-Based Digital Controller Implementation

Li, Qing

doi:10.1007/0-8176-4404-0_15

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Cited by 2 publications

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“…The end-device has to accomplish the deadlines, to achieve the goal of a real-time application. Therefore, they either run a bare-metal application or a real-time OS (RTOS) [30], instead of a standard OS. The RTOS allows them to multi-task, prioritize the tasks, and to achieve the deadlines.…”

Section: End-devicesmentioning

confidence: 99%

Machine Learning in Resource-Scarce Embedded Systems, FPGAs, and End-Devices: A Survey

2019

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The number of devices connected to the Internet is increasing, exchanging large amounts of data, and turning the Internet into the 21st-century silk road for data. This road has taken machine learning to new areas of applications. However, machine learning models are not yet seen as complex systems that must run in powerful computers (i.e., Cloud). As technology, techniques, and algorithms advance, these models are implemented into more computational constrained devices. The following paper presents a study about the optimizations, algorithms, and platforms used to implement such models into the network’s end, where highly resource-scarce microcontroller units (MCUs) are found. The paper aims to provide guidelines, taxonomies, concepts, and future directions to help decentralize the network’s intelligence.

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Section: End-devicesmentioning

confidence: 99%