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Now downloading free:Agilent 5991-4081EN Improving IBIS-AMI Model Accuracy Model-to-Model and Model-to-Lab Correlation Case Stud


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5991-4081EN Improving IBIS-AMI Model Accuracy_ Model-to-Model and Model-to-Lab Correlation Case StudDesignCon 2014 Improving IBIS-AMI Model Accuracy: Model-to-Model and Model-to-Lab Correlation Case Studies Dong Yang, Broadcom Corporation [email protected] Yunong Gan, Broadcom Corporation [email protected] Vivek Telang, Broadcom Corporation [email protected] Magesh Valliappan, Broadcom Corporation [email protected] Fred S. Tang, Broadcom Corporation [email protected] Todd Westerhoff, SiSoft [email protected] Fanyi Rao, Agilent [email protected] Abstract As serial data link speed continues to increase and SerDes architecture becomes more complex, the IBIS Algorithmic Modeling Interface (IBIS-AMI) has become popular among system developers and SerDes vendors. To accurately and quickly predict high- speed link performance at a bit error rate (BER) of 1E-12 or lower, IBIS-AMI models need to accurately represent chip performance and be validated at certain levels. Two methods have been widely used to validate an IBIS-AMI model. The first method, model-to-model co



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