An overview of machine learning within embedded and mobile devices–optimizations and applications
Embedded systems technology is undergoing a phase of transformation owing to the novel
advancements in computer architecture and the breakthroughs in machine learning …
advancements in computer architecture and the breakthroughs in machine learning …
Multicore embedded worst-case task design issues and analysis using machine learning logic
S Aradhya, S Thejaswini, V Nagaveni - IOT with Smart Systems …, 2022 - Springer
In critical embedded systems especially hard real time systems, worst-case execution time
analysis is considered rather than expensive testing tools. In real time, most of the …
analysis is considered rather than expensive testing tools. In real time, most of the …
Evaluating a Machine Learning-based Approach for Cache Configuration
L Ribeiro, R Jacobi, F Júnior… - 2022 IEEE 13th Latin …, 2022 - ieeexplore.ieee.org
As the systems perform progressively complex tasks, the search for energy efficiency in
computational systems is constantly increasing. The cache memory has a fundamental role …
computational systems is constantly increasing. The cache memory has a fundamental role …