Archivio Istituzionale della RicercaThe effective design of passive interconnect links in a pre-layout phase may be a challenging task that involve multidimensional trade-off analyses to find an optimum between system performance and cost. Highly efficient interconnect models can be used to assist this process by allowing a detailed exploration of the design space and the impact of different alternatives in an early stage. This paper addresses this issue by proposing a parametric and automated framework for analysis of single-ended links across multiple substrates with semi-analytical via and trace models. It is shown that this method can provide rapid estimations (second to minute range) and it is suitable for the analysis of configurations with realistic complexity.
Fast parametric pre-layout analysis of signal integrity for backplane interconnects / Rimolo Donadio, Renato; Winkel, Thomas Michael; Siviero, Claudio; Kaller, Dierk; Harrer, Hubert; Bruns, Heinz Dietrich; Schuster, Christian. - ELETTRONICO. - (2011), pp. 51-54. (Intervento presentato al convegno 2011 IEEE 15th Workshop on Signal Propagation on Interconnects, SPI 2011 tenutosi a Naples, ita nel 2011) [10.1109/SPI.2011.5898839].
Fast parametric pre-layout analysis of signal integrity for backplane interconnects
SIVIERO, CLAUDIO;
2011
Abstract
The effective design of passive interconnect links in a pre-layout phase may be a challenging task that involve multidimensional trade-off analyses to find an optimum between system performance and cost. Highly efficient interconnect models can be used to assist this process by allowing a detailed exploration of the design space and the impact of different alternatives in an early stage. This paper addresses this issue by proposing a parametric and automated framework for analysis of single-ended links across multiple substrates with semi-analytical via and trace models. It is shown that this method can provide rapid estimations (second to minute range) and it is suitable for the analysis of configurations with realistic complexity.
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https://hdl.handle.net/11583/2660751
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