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Author Daloukas, Konstantis ♦ Marnari, Alexia ♦ Evmorfopoulos, Nestor ♦ Tsompanopoulou, Panagiota ♦ Stamoulis, George. I.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2013
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Applied physics
Subject Keyword Vectors ♦ Manganese ♦ Transforms ♦ Power grids ♦ Iterative methods ♦ Linear systems ♦ Thermal analysis
Abstract Efficient analysis of massive on-chip power delivery networks is among the most challenging problems facing the EDA industry today. Due to Joule heating effect and the temperature dependence of resistivity, temperature is one of the most important factors that affect IR drop and must be taken into account in power grid analysis. However, the sheer size of modern power delivery networks (comprising several thousands or millions of nodes) usually forces designers to neglect thermal effects during IR drop analysis in order to simplify and accelerate simulation. As a result, the absence of accurate estimates of Joule heating effect on IR drop analysis introduces significant uncertainty in the evaluation of circuit functionality. This work presents a new approach for fast electrical-thermal co-simulation of large-scale power grids found in contemporary nanometer-scale ICs. A state-of-the-art iterative method is combined with an efficient and extremely parallel preconditioning mechanism, which enables harnessing the computational resources of massively parallel architectures, such as graphics processing units (GPUs). Experimental results demonstrate that the proposed method achieves a speedup of 66.1X for a 3.1M-node design over a state-of-the-art direct method and a speedup of 22.2X for a 20.9M-node design over a state-of-the-art iterative method when GPUs are utilized.
Description Author affiliation: Department of Computer and Communications Engineering, University of Thessaly, Volos, Greece (Daloukas, Konstantis; Marnari, Alexia; Evmorfopoulos, Nestor; Tsompanopoulou, Panagiota; Stamoulis, George. I.)
ISBN 9781467350716
ISSN 15301591
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2013-03-18
Publisher Place France
Rights Holder European Design Automation Association (EDAA)
e-ISBN 9783981537000
Size (in Bytes) 216.05 kB
Page Count 6
Starting Page 1689
Ending Page 1694

Source: IEEE Xplore Digital Library