Efficient Cutting Power Modeling of Three-Axis Milling Based on Transfer Learning and Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3184023
Abstract: The modeling of machining response like the cutting power has great significance for the simulation and optimization of the machining process before real physical cutting. Current cutting power models are usually constructed from some trial… read more here.
Keywords: cutting power; transfer; power; cutting conditions ... See more keywords
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
McPAT-Calib: A RISC-V BOOM Microarchitecture Power Modeling Framework
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2022.3169464
Abstract: Power efficiency has become a nonneglected issue of modern CPUs. Therefore, accurate and robust power models are highly demanded in academia and industry. However, it is hard for existing power models to balance modeling speed,… read more here.
Keywords: power; modeling framework; mcpat calib; power modeling ... 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
Optimization of Combined Power and Modeling Attacks on VR PUFs With Lagrange Multipliers
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2020.2981875
Abstract: In this brief, optimized combined power and modeling attacks (CPMAs) are proposed to crack lightweight strong physical unclonable functions (PUFs): voltage regulator (VR) PUFs. The relationship between input challenge and output response of a VR… read more here.
Keywords: combined power; modeling attacks; power; power modeling ... See more keywords