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Design, Automation and Test in Europe Conference and Exhibition Volume II (DATE'04)
Eliminating False Positives in Crosstalk Noise Analysis
Paris, France
February 16-February 20
ISBN: 0-7695-2085-5
Yajun Ran, University of California at Santa Barbara
Alex Kondratyev, Cadence Berkeley Labs
Yosinori Watanabe, Cadence Berkeley Labs
Malgorzata Marek-Sadowska, University of California at Santa Barbara
Noise affects circuit operation by increasing gate delays and causing latches to capture incorrect values. Noise analysis techniques can detect some of such noise faults, but accurate analysis requires a careful examination of timing and functional properties of the circuit. This paper proposes a method to check the "true" noise impact on path delay. It uses four-variable Boolean logic to characterize signal transitions in a time interval, and formulates Boolean satisfiability between aggressors and a victim under the min-max delay model for gates. The proposed technique is scalable as it keeps the size of Boolean formulation linear to the size of the modeled circuit. By applying it to a set of large circuits, it has eliminated up to 50% of noise delay faults reported by conventional noise analysis method.
Citation:
Yajun Ran, Alex Kondratyev, Yosinori Watanabe, Malgorzata Marek-Sadowska, "Eliminating False Positives in Crosstalk Noise Analysis," date, vol. 2, pp.21192, Design, Automation and Test in Europe Conference and Exhibition Volume II (DATE'04), 2004
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