Comparative Study on Power Gating Techniques for Lower Power Delay Product, Smaller Power Loss, Faster Wakeup Time
Journal Title: EAI Endorsed Transactions on Industrial Networks and Intelligent Systems - Year 2018, Vol 5, Issue 15
Abstract
The power gating is one of the most popular reduction leakage techniques. We make comparison among various power gating schemes in terms of power delay product, energy loss, and wake-up time using the 45-nm Predictive Technology Model. In my conclusion, the Dual-Switch Power Gating (DSPG) shows lower power delay product, smaller energy loss, faster wake-up time than the other power gating schemes such as the Single-Switch and Charge-Recycled Power Gating schemes. Based on these advantages, the DSPG is suggested in this paper as a viable candidate suitable to a fine-grain leakage control scheme, where logic blocks go in and out very frequently and shortly between the active and sleep modes.
Authors and Affiliations
Minh Huan Vo
Coupling of the synchronization stations of an Extended Kanban system
In this paper, an approximate method for estimating the performance of the synchronization stations of an Extended Kanban production system is developed. The correct treatment of an Extended Kanban system requires the de...
Fundamental Approach for Analysis of Dynamic Characteristics of Fixtures
Present work is aimed at research of locating and clamping process of prismatic parts in fixtures during the machining on drilling-milling-boring machines. The fundamental approach for developing mathematical modeling of...
Split and Merge Strategies for Solving Uncertain Equations Using Affine Arithmetic
The behaviour of systems is determined by various parameters. Due to several reasons like e. g. manufacturing tolerances these parameters can have some uncertainties. Corner Case and Monte Carlo simulations are well know...
A2Ba: Adaptive Background Modelling for Visual Aerial Surveillance Conditions
Background modelling algorithms are widely used to define a part of an image that most time remains stationary in a video. In surveillance tasks, this model helps to recognize those outlier objects in an area under monit...
Comparison of Different Neural Network Training Algorithms with Application to Face Recognition
Research in the field of face recognition has been popular for several decades. With advances in technology, approaches to solving this problems haves changed. Main goal of this paper was to compare different training al...