An evident challenge ahead for the integrated circuit (IC) industry is the investigation and
development of methods to reduce the design complexity ensuing from growing process …

Accurate power modeling is crucial for energy-efficient CPU design and runtime
management. An ideal power modeling framework needs to be accurate yet fast, achieve …

This paper introduces PRIMAL, a novel learning-based framework that enables fast and
accurate power estimation for ASIC designs. PRIMAL trains machine learning (ML) models …

Power consumption constitutes a major challenge for electronics circuits. One possible way
to deal with this issue is to consider it very soon in the design process in order to explore …

The power consumption of integrated circuits is one of the most problematic considerations
affecting the design of high-performance chips and portable devices. The study of power …

This paper presents a novel runtime power modeling methodology which automatically
identifies key signals for power dissipation of any RTL design. The toggle-pattern matrix is …

The problem of motion estimation and restoration of objects in a blurred video sequence is
addressed in this paper. Fast movement of the objects, together with the aperture time of the …

During the past few years there has been an dramatic upsurge in research and
development, implementations of new technologies, and deployments of actual solutions …

We develop new algorithms and architectures for matrix multiplication on configurable
devices. These have reduced energy dissipation and latency compared with the state-of-the …

High-level synthesis (HLS) enables designers to customize hardware designs efficiently.
However, it is still challenging to foresee the correlation between power consumption and …