International Business Machines Corporation

Sambasivan Narayan

Chandramouli Visweswariah

Vladimir P Zolotov

Hongliang Chang

John J Ellis-Monaghan

Mark David Jaffe

Richard John Rassel

Anthony J Perri

Tian Xia

There is provided a system and method for statistical timing analysis and optimization of an electrical circuit having two or more digital elements. The system includes at least one parameter input and a statistical static timing analyzer and electrical circuit optimizer. The at least one parameter input is for receiving parameters of the electrical circuit. At least one of the parameters has at least one of a non-Gaussian probability distribution and a non-linear delay effect. The statistical static timing analyzer and electrical circuit optimizer is for calculating at least one of a signal arrival time and a signal required time for the electrical circuit using the at least one parameter and for modifying a component size of the electrical circuit to alter gate timing characteristics of the electrical circuit based upon the at least one of the signal arrival time and the signal required time.

System and method for accommodating non-gaussian and non-linear sources of variation in statistical static timing analysis

A semiconductor die including a semiconductor chip and a test structure, located in a scribe area, is designed and manufactured. The test structure includes an array of complementary metal oxide semiconductor (CMOS) image sensors that are of the same type as CMOS image sensors employed in another array in the semiconductor chip and having a larger array size. Such a test structure is provided in a design phase by providing a design structure in which the orientations of the CMOS image sensors match between the two arrays. The test structure provides effective and accurate monitoring of manufacturing processes through in-line testing before a final test on the semiconductor chip.

Image sensor monitor structure in scribe area

There is provided a system and method for statistical timing analysis of an electrical circuit. The system includes at least one parameter input, a statistical static timing analyzer, and at least one output. The at least one parameter input is for receiving parameters of the electrical circuit. At least one of the parameters has at least one of a non-Gaussian probability distribution and a non-linear delay effect. The statistical static timing analyzer is for calculating at least one of a signal arrival time and a signal required time for the electrical circuit using the at least one parameter. The at least one output is for outputting the at least one of the signal arrival time and the signal required time.

System and method for accommodating non-Gaussian and non-linear sources of variation in statistical static timing analysis

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Sambasivan Narayan