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
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;
Conference_Titel :
Asian Test Symposium, 2008. ATS '08. 17th
Conference_Location :
Sapporo
Print_ISBN :
978-0-7695-3396-4
DOI :
10.1109/ATS.2008.13