Efficient and fast analysis of power distribution networks

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Hedi Harizi
  • Horst Fischer
  • Markus Olbrich
  • Erich Barke

Organisationseinheiten

Externe Organisationen

  • Qimonda AG
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des Sammelwerks2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 - Proceedings
Seiten425-430
Seitenumfang6
PublikationsstatusVeröffentlicht - 16 Dez. 2009
Veranstaltung2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 - Kuala Lumpur, Malaysia
Dauer: 4 Okt. 20096 Okt. 2009

Publikationsreihe

Name2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 - Proceedings
Band1

Abstract

As IC technology scales down, the metal width is decreasing, making the resistance along the power lines increase substantially. Together with the nonlinear scaling of the threshold voltage that makes the ratio of the threshold voltage to the supply voltage rise, the IR drop becomes a serious problem in modern VLSI design. Thus, the verification of the power distribution network is of critical importance to ensure reliable performance. However, with the increasing number of transistors on a chip, the complexity of the power network has grown. The available computational power and memory resources impose limitations on the size of the networks that can be analyzed using currently known techniques. In this paper, we present a fast and efficient method to analyse power distribution networks in the time-domain. The key concepts in our approach are a current source-based model and a voltage controlled resistor. The library elements are pre-characterized with respect to the modeling requirements and their models are used during the transient simulation. The new contribution of this work is the use of a Selection Approach (SA) to reduce the number of current source models and to speed up the characterization time. The SA is a function of the input pattern, the energy consumed by the library cells and the placement of the cells in the layout. The proposed techniques provide good analysis results compared to the reference with a reduction of the run-time by a factor of 400, although the cell pre-characterization is based on SPICE simulation. Our model is independent of power network parasitics, which implies that different power network scenarios may be analyzed based on the same model and the same cell characterizations. The run-time and accuracy of the proposed approach are demonstrated on some industrial designs.

ASJC Scopus Sachgebiete

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Efficient and fast analysis of power distribution networks. / Harizi, Hedi; Fischer, Horst; Olbrich, Markus et al.
2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 - Proceedings. 2009. S. 425-430 5356442 (2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 - Proceedings; Band 1).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Harizi, H, Fischer, H, Olbrich, M & Barke, E 2009, Efficient and fast analysis of power distribution networks. in 2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 - Proceedings., 5356442, 2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 - Proceedings, Bd. 1, S. 425-430, 2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009, Kuala Lumpur, Malaysia, 4 Okt. 2009. https://doi.org/10.1109/ISIEA.2009.5356442
Harizi, H., Fischer, H., Olbrich, M., & Barke, E. (2009). Efficient and fast analysis of power distribution networks. In 2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 - Proceedings (S. 425-430). Artikel 5356442 (2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 - Proceedings; Band 1). https://doi.org/10.1109/ISIEA.2009.5356442
Harizi H, Fischer H, Olbrich M, Barke E. Efficient and fast analysis of power distribution networks. in 2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 - Proceedings. 2009. S. 425-430. 5356442. (2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 - Proceedings). doi: 10.1109/ISIEA.2009.5356442
Harizi, Hedi ; Fischer, Horst ; Olbrich, Markus et al. / Efficient and fast analysis of power distribution networks. 2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 - Proceedings. 2009. S. 425-430 (2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 - Proceedings).
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AU - Fischer, Horst

AU - Olbrich, Markus

AU - Barke, Erich

N1 - Copyright: Copyright 2010 Elsevier B.V., All rights reserved.

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N2 - As IC technology scales down, the metal width is decreasing, making the resistance along the power lines increase substantially. Together with the nonlinear scaling of the threshold voltage that makes the ratio of the threshold voltage to the supply voltage rise, the IR drop becomes a serious problem in modern VLSI design. Thus, the verification of the power distribution network is of critical importance to ensure reliable performance. However, with the increasing number of transistors on a chip, the complexity of the power network has grown. The available computational power and memory resources impose limitations on the size of the networks that can be analyzed using currently known techniques. In this paper, we present a fast and efficient method to analyse power distribution networks in the time-domain. The key concepts in our approach are a current source-based model and a voltage controlled resistor. The library elements are pre-characterized with respect to the modeling requirements and their models are used during the transient simulation. The new contribution of this work is the use of a Selection Approach (SA) to reduce the number of current source models and to speed up the characterization time. The SA is a function of the input pattern, the energy consumed by the library cells and the placement of the cells in the layout. The proposed techniques provide good analysis results compared to the reference with a reduction of the run-time by a factor of 400, although the cell pre-characterization is based on SPICE simulation. Our model is independent of power network parasitics, which implies that different power network scenarios may be analyzed based on the same model and the same cell characterizations. The run-time and accuracy of the proposed approach are demonstrated on some industrial designs.

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