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Random telegraph noise (RTN) in 14nm logic technology: High volume data extraction and analysis

Authors: S. Dongaonkar; M. D. Giles; A. Kornfeld; B. Grossnickle; J. Yoon;

Random telegraph noise (RTN) in 14nm logic technology: High volume data extraction and analysis

Abstract

With continued scaling of CMOS technology, numerous concerns have been raised about random telegraph noise (RTN) possibly matching or exceeding the random process variation in threshold voltage (V th )[1], [2]. These studies are usually limited by the small sample size of the measurements, relying on modeling for projecting to high sigma. In this work, we use a modified ring oscillator (RO) circuit to measure the RTN in individual transistors (7500 NMOS and 7500 PMOS), for Intel's current 14nm technology. We analyze this data, carefully characterizing the noise signatures and accounting for the devices not showing RTN. We show that magnitude of V th fluctuation due to RTN (ΔV th RTN) at the ∼3.7 sigma level is th RTN is uncorrelated to V th random variation. From these observations, we conclude that RTN is not a significant limitation for circuit design at Intel's 14nm node.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Top 10%
Top 10%
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