A node clustering reduction scheme for power grids electrothermal analysis

A. Magnani; M. de Magistris; A. Maffucci; A. Todri-Sanial

doi:10.1109/SaPIW.2015.7237399

A node clustering reduction scheme for power grids electrothermal analysis

A. Magnani, M. de Magistris, A. Maffucci, A. Todri-Sanial

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

4 Citations (Scopus)

Abstract

This paper presents a new technique to lower the computational cost of the electrothermal (ET) analysis of a large on-chip power distribution network. It is based on a node reduction strategy following a preliminary efficient steady-state solution of the ET problem. After a proper classification of nodes according to temperature and voltage drop ranges, a reduced network is then produced by means of clustering and topological network transformations, and is available for any static/dynamic analysis. Due to the achievable reduction ratios, it possible to lower by order of magnitudes the computational cost at very good accuracies. A case-study is provided where a power grid of 4 millions of nodes is reduced by a factor of 180 (electrical network) and 500 (thermal network).

Original language	English
Title of host publication	SPI 2015 - 19th IEEE Workshop on Signal and Power Integrity
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	4
ISBN (Electronic)	9781467365819
DOIs	https://doi.org/10.1109/SaPIW.2015.7237399
Publication status	Published - 2 Sept 2015
Externally published	Yes
Event	19th IEEE Workshop on Signal and Power Integrity, SPI 2015 - Berlin, Germany Duration: 10 May 2015 → 13 May 2015

Conference

Conference	19th IEEE Workshop on Signal and Power Integrity, SPI 2015
Country/Territory	Germany
City	Berlin
Period	10/05/15 → 13/05/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Electrothermal analysis
IR-drop
model order reduction
On-chip power distribution networks

Access to Document

10.1109/SaPIW.2015.7237399

Cite this

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title = "A node clustering reduction scheme for power grids electrothermal analysis",

abstract = "This paper presents a new technique to lower the computational cost of the electrothermal (ET) analysis of a large on-chip power distribution network. It is based on a node reduction strategy following a preliminary efficient steady-state solution of the ET problem. After a proper classification of nodes according to temperature and voltage drop ranges, a reduced network is then produced by means of clustering and topological network transformations, and is available for any static/dynamic analysis. Due to the achievable reduction ratios, it possible to lower by order of magnitudes the computational cost at very good accuracies. A case-study is provided where a power grid of 4 millions of nodes is reduced by a factor of 180 (electrical network) and 500 (thermal network).",

keywords = "Electrothermal analysis, IR-drop, model order reduction, On-chip power distribution networks",

author = "A. Magnani and {de Magistris}, M. and A. Maffucci and A. Todri-Sanial",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 19th IEEE Workshop on Signal and Power Integrity, SPI 2015 ; Conference date: 10-05-2015 Through 13-05-2015",

year = "2015",

month = sep,

day = "2",

doi = "10.1109/SaPIW.2015.7237399",

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Magnani, A, de Magistris, M, Maffucci, A & Todri-Sanial, A 2015, A node clustering reduction scheme for power grids electrothermal analysis. in SPI 2015 - 19th IEEE Workshop on Signal and Power Integrity., 7237399, Institute of Electrical and Electronics Engineers, 19th IEEE Workshop on Signal and Power Integrity, SPI 2015, Berlin, Germany, 10/05/15. https://doi.org/10.1109/SaPIW.2015.7237399

A node clustering reduction scheme for power grids electrothermal analysis. / Magnani, A.; de Magistris, M.; Maffucci, A. et al.
SPI 2015 - 19th IEEE Workshop on Signal and Power Integrity. Institute of Electrical and Electronics Engineers, 2015. 7237399.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - A node clustering reduction scheme for power grids electrothermal analysis

AU - Magnani, A.

AU - de Magistris, M.

AU - Maffucci, A.

AU - Todri-Sanial, A.

PY - 2015/9/2

Y1 - 2015/9/2

N2 - This paper presents a new technique to lower the computational cost of the electrothermal (ET) analysis of a large on-chip power distribution network. It is based on a node reduction strategy following a preliminary efficient steady-state solution of the ET problem. After a proper classification of nodes according to temperature and voltage drop ranges, a reduced network is then produced by means of clustering and topological network transformations, and is available for any static/dynamic analysis. Due to the achievable reduction ratios, it possible to lower by order of magnitudes the computational cost at very good accuracies. A case-study is provided where a power grid of 4 millions of nodes is reduced by a factor of 180 (electrical network) and 500 (thermal network).

AB - This paper presents a new technique to lower the computational cost of the electrothermal (ET) analysis of a large on-chip power distribution network. It is based on a node reduction strategy following a preliminary efficient steady-state solution of the ET problem. After a proper classification of nodes according to temperature and voltage drop ranges, a reduced network is then produced by means of clustering and topological network transformations, and is available for any static/dynamic analysis. Due to the achievable reduction ratios, it possible to lower by order of magnitudes the computational cost at very good accuracies. A case-study is provided where a power grid of 4 millions of nodes is reduced by a factor of 180 (electrical network) and 500 (thermal network).

KW - Electrothermal analysis

KW - IR-drop

KW - model order reduction

KW - On-chip power distribution networks

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U2 - 10.1109/SaPIW.2015.7237399

DO - 10.1109/SaPIW.2015.7237399

M3 - Conference contribution

AN - SCOPUS:84957921732

BT - SPI 2015 - 19th IEEE Workshop on Signal and Power Integrity

PB - Institute of Electrical and Electronics Engineers

T2 - 19th IEEE Workshop on Signal and Power Integrity, SPI 2015

Y2 - 10 May 2015 through 13 May 2015

ER -

A node clustering reduction scheme for power grids electrothermal analysis

Abstract

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Bibliographical note

Keywords

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