DocumentCode
1858422
Title
Influence of Parasitic Capacitance Variations on 65 nm and 32 nm Predictive Technology Model SRAM Core-Cells
Author
Carlo, Stefano Di ; Savino, Alessandro ; Scionti, Alberto ; Prinetto, Paolo
Author_Institution
Control & Comput. Eng. Dept., Politec. di Torino, Torino
fYear
2008
fDate
24-27 Nov. 2008
Firstpage
411
Lastpage
416
Abstract
The continuous improving of CMOS technology allows the realization of digital circuits and in particular static random access memories that, compared with previous technologies, contain an impressive number of transistors. The use of new production processes introduces a set of parasitic effects that gain more and more importance with the scaling down of the technology. In particular, even small variations of parasitic capacitances in CMOS devices are expected to become an additional source of faulty behaviors in future technologies. This paper analyzes and compares the effect of parasitic capacitance variations in a SRAM memory circuit realized with 65 nm and 32 nm predictive technology models.
Keywords
CMOS digital integrated circuits; SRAM chips; CMOS technology; SRAM memory circuit; digital circuits; parasitic capacitance variations; predictive technology model SRAM core-cells; size 32 nm; size 65 nm; static random access memories; CMOS digital integrated circuits; CMOS memory circuits; CMOS technology; Digital circuits; Parasitic capacitance; Predictive models; Production; Random access memory; SRAM chips; Semiconductor device modeling; Core-cell; Dynamic Faults; SRAM Memories;
fLanguage
English
Publisher
ieee
Conference_Titel
Asian Test Symposium, 2008. ATS '08. 17th
Conference_Location
Sapporo
ISSN
1081-7735
Print_ISBN
978-0-7695-3396-4
Type
conf
DOI
10.1109/ATS.2008.13
Filename
4711625
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