Dynamic stability estimation for latch-type voltage sense amplifier

Woong Choi; Jongsun Park; Gyuseong Kang

doi:10.1109/ISOCC.2014.7087614

Dynamic stability estimation for latch-type voltage sense amplifier

Woong Choi, Jongsun Park, Gyuseong Kang

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

This paper presents a dynamic stability estimation method for latch-type voltage sense amplifier (LV-S/A) which is widely used in several type of memory. In order to overcome the large computational burden of conventional Monte-carlo simulation, predetermined coordinate based mean-shift most probable failure point (PMS-MPFP) method is proposed. Compared to mean-shift MPFP (MS-MPFP) [2], proposed PMSMPFP needs approximately 2 less iteration number for 1E-10 bit error bound in wide range of simulation conditions.

Original language	English
Title of host publication	ISOCC 2014 - International SoC Design Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	218-219
Number of pages	2
ISBN (Print)	9781479951260
DOIs	https://doi.org/10.1109/ISOCC.2014.7087614
Publication status	Published - 2015 Apr 16
Event	11th International SoC Design Conference, ISOCC 2014 - Jeju, Korea, Republic of Duration: 2014 Nov 3 → 2014 Nov 6

Other

Other	11th International SoC Design Conference, ISOCC 2014
Country	Korea, Republic of
City	Jeju
Period	14/11/3 → 14/11/6

Fingerprint

Keywords

dynamic stability
latch
mpfp
sense amplifier

ASJC Scopus subject areas

Hardware and Architecture

Cite this

Choi, W., Park, J., & Kang, G. (2015). Dynamic stability estimation for latch-type voltage sense amplifier. In ISOCC 2014 - International SoC Design Conference (pp. 218-219). [7087614] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISOCC.2014.7087614

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AB - This paper presents a dynamic stability estimation method for latch-type voltage sense amplifier (LV-S/A) which is widely used in several type of memory. In order to overcome the large computational burden of conventional Monte-carlo simulation, predetermined coordinate based mean-shift most probable failure point (PMS-MPFP) method is proposed. Compared to mean-shift MPFP (MS-MPFP) [2], proposed PMSMPFP needs approximately 2 less iteration number for 1E-10 bit error bound in wide range of simulation conditions.

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Access to Document

10.1109/ISOCC.2014.7087614