Nowadays, machine learning (ML) algorithms are receiving massive attention in most of the
engineering application since it has capability in complex systems modeling using historical …

Online power monitoring represents a de-facto solution to enable energyand power-aware
run-time optimizations for current and future computing architectures. Traditionally, the …

Recent advancements in very large scale integration (VLSI) technologies have made it
feasible to integrate millions of transistors on a single chip. This greatly increases the circuit …

Abstract Nowadays, Computing-in-Memory (CiM) represents one of the most relevant
solutions to deal with CMOS technological issues and several works have been proposed …

In this work, we propose an electronic system-level (ESL) power estimation framework which
can support several low power methodologies such as dynamic voltage and frequency …

Estimating the power consumption of System on Chip as early as possible in the design life
cycle is important to meet the time to market requirements. For this purpose, most research is …

Power consumption in VLSI (Very Large Scale Integration) design is becoming a
mainstream issue that cannot be neglected. Low power solution for SoC (System-on-Chip) …

This study presents a precision tunable cycle-accurate register transfer level (RTL) power
estimation method based on a hybrid lookup table (LUT) and linear regression model. The …

Recent advances in Very Large Scale Integration technology (VLSI) enable the integration
of millions of transistors on a single chip. Early power estimation is essential in VLSI circuits …

L'utilisation des accélérateurs reconfigurables, pour la conception de system-on-chip
hétérogènes, offre des possibilités intéressantes d'augmentation des performances et de …