Machine Learning-based Prediction for Dynamic Architectural Optimizations

Ruben Vazquez
Ruben Vazquez

IGSC, pp. 1-6, 2019.

EI
Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

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

Code:

Data:

Your rating :
0

 

Tags
Comments