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| Content Provider | ACM Digital Library |
|---|---|
| Author | Mishra, Prateek Muttreja, Anish Jha, Niraj K. |
| Copyright Year | 2009 |
| Abstract | According to Moore's law, the number of transistors in a chip doubles every 18 months. The increased transistor-count leads to increased power density. Thus, in modern circuits, power efficiency is a central determinant of circuit efficiency. With scaling, leakage power accounts for an increasingly larger portion of the total power consumption in deep submicron technologies (>40%). FinFET technology has been proposed as a promising alternative to deep submicron bulk CMOS technology, because of its better scalability, short-channel characteristics, and ability to suppress leakage current and mitigate device-to-device variability when compared to bulk CMOS. The subthreshold slope of a FinFET is approximately 60mV which is close to ideal. In this article, we propose a methodology for low-power FinFET based circuit synthesis. A mechanism called TCMS (Threshold Control through Multiple Supply Voltages) was previously proposed for improving the power efficiency of FinFET based global interconnects. We propose a significant generalization of TCMS to the design of any logic circuit. This scheme represents a significant divergence from the conventional multiple supply voltage schemes considered in the past. It also obviates the need for voltage level-converters. We employ accurate delay and power estimates using table look-up methods based on HSPICE simulations for supply voltage and threshold voltage optimization. Experimental results demonstrate that TCMS can provide power savings of 67.6% and device area savings of 65.2% under relaxed delay constraints. Two other variants of TCMS are also proposed that yield similar benefits. We compare our scheme to extended cluster voltage scaling (ECVS), a popular $dual-V_{dd}$ scheme presented in the literature. ECVS makes use of voltage level-converters. Even when it is assumed that these level-converters have zero delay, thus significantly favoring ECVS in time-constrained power optimization, TCMS still outperforms ECVS. |
| Starting Page | 1 |
| Ending Page | 23 |
| Page Count | 23 |
| File Format | |
| ISSN | 15504832 |
| e-ISSN | 15504840 |
| DOI | 10.1145/1543438.1543440 |
| Journal | ACM Journal on Emerging Technologies in Computing Systems (JETC) |
| Volume Number | 5 |
| Issue Number | 2 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2009-07-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Low-power TCMS Linear programming Synthesis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Hardware and Architecture Nanoscience and Nanotechnology Software |
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