Machine Learning-based Prediction for Dynamic Architectural Optimizations
IGSC, pp. 1-6, 2019.
Embedded system complexity is rapidly evolving, becoming more desktop-system-like, requiring more complex optimization methods to adhere to more stringent design constraints (e.g., area, thermal pressures, performance, battery lifetime, etc.) given restricted resources, widely varying applications, and environmental stimuli. Configurable ...More
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