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)

A node clustering reduction scheme for power grids electrothermal analysis

DE MAGISTRIS, MASSIMILIANO;
2015-01-01

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)
2015
9781467365819
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11367/84384
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