Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/3475
Title: A Novel Approach To Power Optimization In High Frequency Microprocessor Design Using An Intelligent Slack Manipulation Algorithm
Authors: Trivedi, Kruti
Keywords: EC 2010
Project Report 2010
EC Project Report
Project Report
10MEC
10MECV
10MECV08
VLSI
VLSI 2010
EC (VLSI)
Issue Date: 1-Jun-2012
Publisher: Institute of Technology
Series/Report no.: 10MECV08
Abstract: Versatile form factor and battery backup is one of the major focus in electronics industry. This leads to exploration more power reduction opportunities in all products . Tradeoffs in area , power and delay are the order of the day in VLSI field. However in some cases we can actually exploit some resources and manipulate them in such a way to optimize other resources rather than mere tradeoff. One such way is to squeeze extra margin from positive slack paths to gain power reduction. This Thesis is an outcome of efforts directed to develop and test an algorithm which can utilize the extra slack margin available for the cell by intentionally engineering delays in the cells in the design and hence leading to a more power efficient design. This Algorithm also physically implements addition of delays to cells by downsizing the cells and then swapping suitable cells in the design by the corresponding lower leakage cell instances from the available design library. This is done in manner such that the original timing on lower slack margin paths are not affected and the critical path slack remains essentially the same. This Thesis also discusses various aspects related to Static Timing Analysis , Slack calculation and Slack Budgeting and Power Dissipation which were the prerequisites in development of this algorithm This Thesis also discusses various aspects related to Static Timing Analysis , Slack calculation and Slack Budgeting and Power Dissipation which were the prerequisites in development of this algorithm.
URI: http://10.1.7.181:1900/jspui/123456789/3475
Appears in Collections:Dissertation, EC (VLSI)

Files in This Item:
File Description SizeFormat 
10MECV08.pdf10MECV081.53 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.