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Author Sitik, Can ♦ Salman, Emre ♦ Filippini, Leo ♦ Yoon, Sung Jun ♦ Taskin, Baris
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword EDA ♦ FinFET ♦ VLSI ♦ Clock tree ♦ Low power
Abstract A low-swing clocking methodology is introduced to achieve low-power operation at 20nm FinFET technology. Low-swing clock trees are used in existing methodologies in order to decrease the dynamic power consumption in a trade-off for 3 issues: (1) the effect of leakage power consumption, which is becoming more dominant when the process scales sub-32nm; (2) the increase in insertion delay, resulting in a high clock skew; and (3) the difficulty in driving the existing DFF sinks with a low-swing clock signal without a timing violation. In this article, a FinFET-based low-swing clocking methodology is introduced to preserve the dynamic power savings of low-swing clocking while minimizing these three negative effects, facilitated through an efficient use of FinFET technology. At scaled performance constraints, the proposed methodology at 20nm FinFET leads to 42% total power savings (clock network+DFF) compared to a FinFET-based full-swing counterpart at the same frequency (3 GHz), thanks to the dynamic power savings of low-swing clocking and 3% power savings compared to a CMOS-based low-swing implementation running at the half frequency (1.5 GHz), thanks to the leakage power savings of FinFET technology.
Description Author Affiliation: Stony Brook University, Stony Brook, NY (Salman, Emre); Stony Brook University, College Station, TX (Yoon, Sung Jun); Drexel University, Philadelphia, PA (Sitik, Can; Filippini, Leo; Taskin, Baris)
ISSN 15504832
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-09-02
Publisher Place New York
e-ISSN 15504840
Journal ACM Journal on Emerging Technologies in Computing Systems (JETC)
Volume Number 12
Issue Number 2
Page Count 20
Starting Page 1
Ending Page 20

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Source: ACM Digital Library