Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings - 2nd International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2010 |
| Seiten | 559-564 |
| Seitenumfang | 6 |
| Publikationsstatus | Veröffentlicht - 2010 |
| Veranstaltung | 2nd International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2010 - Bali, Indonesien Dauer: 28 Sept. 2010 → 30 Sept. 2010 |
Publikationsreihe
| Name | Proceedings - 2nd International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2010 |
|---|
Abstract
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 also 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 analyze power distribution networks in the time-domain. The new contributions of this work are the use of a selection approach (SA) and correction factors (CF) to reduce the number of current source models and to speed up the characterization time. 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 simulations. 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 runtime and accuracy of the proposed approach are demonstrated on some industrial designs.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Theoretische Informatik und Mathematik
- Mathematik (insg.)
- Angewandte Mathematik
- Mathematik (insg.)
- Modellierung und Simulation
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- BibTex
- RIS
Proceedings - 2nd International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2010. 2010. S. 559-564 5701906 (Proceedings - 2nd International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2010).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Dynamic voltage drop analysis using automated abstractions of cell and block properties
AU - Harizi, Hedi
AU - Olbrich, Markus
AU - Barke, Erich
N1 - Copyright: Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - 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 also 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 analyze power distribution networks in the time-domain. The new contributions of this work are the use of a selection approach (SA) and correction factors (CF) to reduce the number of current source models and to speed up the characterization time. 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 simulations. 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 runtime and accuracy of the proposed approach are demonstrated on some industrial designs.
AB - 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 also 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 analyze power distribution networks in the time-domain. The new contributions of this work are the use of a selection approach (SA) and correction factors (CF) to reduce the number of current source models and to speed up the characterization time. 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 simulations. 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 runtime and accuracy of the proposed approach are demonstrated on some industrial designs.
KW - Circuit simulation
KW - Correction factors
KW - Hierarchical analysis
KW - Selection approach
KW - Voltage drop modeling
UR - http://www.scopus.com/inward/record.url?scp=79952081361&partnerID=8YFLogxK
U2 - 10.1109/CIMSiM.2010.31
DO - 10.1109/CIMSiM.2010.31
M3 - Conference contribution
AN - SCOPUS:79952081361
SN - 9780769542621
T3 - Proceedings - 2nd International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2010
SP - 559
EP - 564
BT - Proceedings - 2nd International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2010
T2 - 2nd International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2010
Y2 - 28 September 2010 through 30 September 2010
ER -