Machine Learning-Based Microarchitecture- Level Power Modeling of CPUs
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2022.3185572
Abstract: Energy efficiency has emerged as a key concern for modern processor design, especially when it comes to embedded and mobile devices. It is vital to accurately quantify the power consumption of different micro-architectural components in… read more here.
Keywords: level power; machine learning; power; level ... See more keywords
PMCC: Fast and Accurate System-Level Power Modeling for Processors on Heterogeneous SoC
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2016.2615930
Abstract: Accurate estimation of power at the system level is essential for system-on-chip (SoC) architects. The integration of heterogeneous processors like CPUs and emerging coarse-grained reconfigurable architectures (CGRAs) in SoCs significantly complicates the power-estimation process. This… read more here.
Keywords: power modeling; level power; system level; power ... See more keywords