A macromodelling methodology for efficient high-level simulation of substrate noise generation

Efficient prediction of the substrate noise generated by digital sections is currently a major challenge in system-on-a-chip design. In this paper a macromodel to accurately and efficiently predict the substrate noise generated by digital standard cells is presented. The macromodel accuracy is demon...

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Bibliographic Details
Published inProceedings Design, Automation and Test in Europe Conference and Exhibition Vol. 2; pp. 1362 - 1363 Vol.2
Main Authors Elvira, L., Martorell, F., Aragones, X., Gonzalez, J.L.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2004
Subjects
Capacitance
Circuit noise
Circuit simulation
Discrete event simulation
Equivalent circuits
Integrated circuit noise
Noise generators
Noise level
Performance analysis
Software libraries
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Summary:Efficient prediction of the substrate noise generated by digital sections is currently a major challenge in system-on-a-chip design. In this paper a macromodel to accurately and efficiently predict the substrate noise generated by digital standard cells is presented. The macromodel accuracy is demonstrated for some simple circuits.
ISBN:0769520855
9780769520858
ISSN:1530-1591
1558-1101
DOI:10.1109/DATE.2004.1269089