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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rasouli, S.H. Endo, K. Banerjee, K. |
| Copyright Year | 2009 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of California, Santa Barbara, CA, USA (Rasouli, S.H.; Banerjee, K.) || Adv. Ind. Sci. & Technol., Tsukuba, Japan (Endo, K.) |
| Abstract | FinFET is considered as the most likely candidate to substitute bulk CMOS technology. FinFET-based design, however, requires special attention due to its exclusive properties such as width quantization and electrical confinement (quantum-mechanical effect) even in subthreshold regime. Considering these exclusive properties of FinFETs, the sources of process variations and their effects on FinFET-based circuit characteristics can be significantly different from that in bulk CMOS devices. This paper identifies a new source of random process variation due to the gate work-function variation and resulting electrical confinement in emerging high-k/metal-gate FinFET devices. In order to capture the effect of the variations on the characteristics of multifin FinFETs (considering their width quantization property), this paper also presents a new statistical framework to accurately predict the effective threshold voltage of multifin FinFET devices. This framework is subsequently used to predict the leakage profile of FinFET-based SRAM cells. Since FinFETs are optimal for ultra-low-voltage operations due to near-ideal subthreshold swing (60 mV/dec), we focus on FinFET-based SRAM (including subthreshold SRAM) design. Contrary to the low sensitivity of the static noise margin (SNM) to the width of the pull-down devices in bulk-CMOS subthreshold SRAMs, our analysis shows, for the first time, the significant impact of employing multifin pull-down devices on the SNM of subthreshold FinFET SRAMs. |
| Starting Page | 505 |
| Ending Page | 512 |
| File Size | 489243 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781605588001 |
| ISSN | 10923152 |
| DOI | 10.1145/1687399.1687495 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-02 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Association for Computing Machinery, Inc. (ACM) |
| Subject Keyword | Circuits Quantization FinFETs Random access memory CMOS technology Potential well CMOS process Random processes High K dielectric materials High-K gate dielectrics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Graphics and Computer-Aided Design Computer Science Applications Software |
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