DocumentCode
3124313
Title
Statistical design for variation tolerance: key to continued Moore´s law
Author
Karnik, Tanay ; De, Vivek ; Borkar, Shekhar
Author_Institution
Circuit Res., Intel Labs, Hillsboro, OR, USA
fYear
2004
fDate
2004
Firstpage
175
Lastpage
176
Abstract
Future high performance microprocessor design with technology scaling beyond 90nm will face a major challenge - parameter variations. Design practice will have to change from deterministic design to statistical design for variation tolerance. This paper discusses process, voltage and temperature variations, and their impact on circuits and microarchitecture. Possible solutions to reduce the impact of parameter variations on digital and analog circuits, and to achieve higher target frequencies are also presented.
Keywords
CMOS digital integrated circuits; circuit CAD; integrated circuit design; microprocessor chips; nanoelectronics; statistical analysis; tolerance analysis; CMOS technology; body bias; continued Moore´s law; high performance design; microarchitecture; microprocessor design; parameter variation; pipelining; process variations; statistical design; switching activity; technology scaling; temperature variations; variable offset cancellation technique; variation tolerance; voltage variations; CMOS logic circuits; CMOS technology; Degradation; Frequency; Microarchitecture; Microprocessors; Moore´s Law; Packaging; Temperature; Threshold voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Integrated Circuit Design and Technology, 2004. ICICDT '04. International Conference on
Print_ISBN
0-7803-8528-4
Type
conf
DOI
10.1109/ICICDT.2004.1309939
Filename
1309939
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