Toggle Main Menu Toggle Search

Open Access padlockePrints

Modelling and analysis of manufacturing variability effects from process to architectural level

Lookup NU author(s): Chenxi Ni, Ziyad Al Tarawneh, Dr Gordon Russell, Dr Alex Bystrov

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

This paper describes the development of a cell library which can be used to efficiently predict the distribution of circuit delay and leakage power performance due to process variation effects. In developing the library a stepwise approach is adopted in which the effects of process variations on the design parameters of interest at the various levels of design abstraction are evaluated, that is from transistor through circuit to architectural level. A cell library is generated comprising functional blocks whose complexity ranges from a single gate up to several thousand gates. As a demonstration vehicle a 2-stage asynchronous micropipeline is simulated using the cell library to predict the subsequent delay and leakage power distributions. The experimental results show that the proposed method is much faster than the traditional statistical static delay/power analysis (SSTA/SPA) approaches by a factor of 50; the results are also compared with Monte Carlo simulation data for validation purposes, and show an acceptable error rate of within 5%. © Springer-Verlag Berlin Heidelberg 2013.


Publication metadata

Author(s): Ni C, Al Tarawneh Z, Russell G, Bystrov A

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: PATMOS 2012 International Workshop on Power and Timing Modeling, Optimization and Simulation

Year of Conference: 2012

Pages: 11-20

Publisher: Springer

URL: https://doi.org/10.1007/978-3-642-36157-9_2

DOI: 10.1007/978-3-642-36157-9_2

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ISBN: 9783642361562


Actions

Find at Newcastle University icon    Link to this publication


Share