Fast Monte-Carlo analysis method of ring oscillators with neural networks

Tae Hoon Choi; Hanwool Jeong; Seong Ook Jung

doi:10.23919/ELINFOCOM.2018.8330633

Fast Monte-Carlo analysis method of ring oscillators with neural networks

Tae Hoon Choi, Hanwool Jeong, Seong Ook Jung

Department of Electrical and Electronic Engineering

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

Abstract

Because of the slow speed of SPICE Monte-Carlo (MC) simulation, the limited number of MC samples causes inaccuracy for statistical analysis of ring oscillators. In this paper, we propose the MC simulation method of ring oscillators with artificial neural networks, which shows 5 order faster than SPICE. It is shown that the figure of merits of the ring oscillator can be accurately estimated through simple neural networks training with random samples of SPICE data.

Original language	English
Title of host publication	International Conference on Electronics, Information and Communication, ICEIC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781538647547
DOIs	https://doi.org/10.23919/ELINFOCOM.2018.8330633
Publication status	Published - 2018 Apr 2
Event	17th International Conference on Electronics, Information and Communication, ICEIC 2018 - Honolulu, United States Duration: 2018 Jan 24 → 2018 Jan 27

Publication series

Name	International Conference on Electronics, Information and Communication, ICEIC 2018
Volume	2018-January

Other

Other	17th International Conference on Electronics, Information and Communication, ICEIC 2018
Country	United States
City	Honolulu
Period	18/1/24 → 18/1/27

Fingerprint

All Science Journal Classification (ASJC) codes

Information Systems
Computer Networks and Communications
Computer Science Applications
Signal Processing
Electrical and Electronic Engineering

Cite this

Choi, T. H., Jeong, H., & Jung, S. O. (2018). Fast Monte-Carlo analysis method of ring oscillators with neural networks. In International Conference on Electronics, Information and Communication, ICEIC 2018 (pp. 1-4). (International Conference on Electronics, Information and Communication, ICEIC 2018; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ELINFOCOM.2018.8330633

@inproceedings{ac93f5d626564e31a0450763c6345cb0,

title = "Fast Monte-Carlo analysis method of ring oscillators with neural networks",

abstract = "Because of the slow speed of SPICE Monte-Carlo (MC) simulation, the limited number of MC samples causes inaccuracy for statistical analysis of ring oscillators. In this paper, we propose the MC simulation method of ring oscillators with artificial neural networks, which shows 5 order faster than SPICE. It is shown that the figure of merits of the ring oscillator can be accurately estimated through simple neural networks training with random samples of SPICE data.",

author = "Choi, {Tae Hoon} and Hanwool Jeong and Jung, {Seong Ook}",

year = "2018",

month = apr

day = "2",

doi = "10.23919/ELINFOCOM.2018.8330633",

language = "English",

series = "International Conference on Electronics, Information and Communication, ICEIC 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--4",

booktitle = "International Conference on Electronics, Information and Communication, ICEIC 2018",

address = "United States",

note = "17th International Conference on Electronics, Information and Communication, ICEIC 2018 ; Conference date: 24-01-2018 Through 27-01-2018",

}

Choi, TH, Jeong, H & Jung, SO 2018, Fast Monte-Carlo analysis method of ring oscillators with neural networks. in International Conference on Electronics, Information and Communication, ICEIC 2018. International Conference on Electronics, Information and Communication, ICEIC 2018, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 17th International Conference on Electronics, Information and Communication, ICEIC 2018, Honolulu, United States, 18/1/24. https://doi.org/10.23919/ELINFOCOM.2018.8330633

Fast Monte-Carlo analysis method of ring oscillators with neural networks. / Choi, Tae Hoon; Jeong, Hanwool; Jung, Seong Ook.

International Conference on Electronics, Information and Communication, ICEIC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4 (International Conference on Electronics, Information and Communication, ICEIC 2018; Vol. 2018-January).

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

TY - GEN

T1 - Fast Monte-Carlo analysis method of ring oscillators with neural networks

AU - Choi, Tae Hoon

AU - Jeong, Hanwool

AU - Jung, Seong Ook

PY - 2018/4/2

Y1 - 2018/4/2

N2 - Because of the slow speed of SPICE Monte-Carlo (MC) simulation, the limited number of MC samples causes inaccuracy for statistical analysis of ring oscillators. In this paper, we propose the MC simulation method of ring oscillators with artificial neural networks, which shows 5 order faster than SPICE. It is shown that the figure of merits of the ring oscillator can be accurately estimated through simple neural networks training with random samples of SPICE data.

AB - Because of the slow speed of SPICE Monte-Carlo (MC) simulation, the limited number of MC samples causes inaccuracy for statistical analysis of ring oscillators. In this paper, we propose the MC simulation method of ring oscillators with artificial neural networks, which shows 5 order faster than SPICE. It is shown that the figure of merits of the ring oscillator can be accurately estimated through simple neural networks training with random samples of SPICE data.

UR - http://www.scopus.com/inward/record.url?scp=85048580505&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85048580505&partnerID=8YFLogxK

U2 - 10.23919/ELINFOCOM.2018.8330633

DO - 10.23919/ELINFOCOM.2018.8330633

M3 - Conference contribution

AN - SCOPUS:85048580505

T3 - International Conference on Electronics, Information and Communication, ICEIC 2018

SP - 1

EP - 4

BT - International Conference on Electronics, Information and Communication, ICEIC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th International Conference on Electronics, Information and Communication, ICEIC 2018

Y2 - 24 January 2018 through 27 January 2018

ER -

Choi TH, Jeong H, Jung SO. Fast Monte-Carlo analysis method of ring oscillators with neural networks. In International Conference on Electronics, Information and Communication, ICEIC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-4. (International Conference on Electronics, Information and Communication, ICEIC 2018). https://doi.org/10.23919/ELINFOCOM.2018.8330633

Access to Document

10.23919/ELINFOCOM.2018.8330633