Abstract:
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.
Abstract:
Embodiments of the invention provide a method, computer program product, etc. for analysis techniques to reduce simulations to characterize the effect of variations in transistor circuits. A method of simulating transistors in an integrated circuit begins by reducing a group of parallel transistors to a single equivalent transistor. The equivalent transistor is subsequently simulated, wherein only a portion of the parallel transistors are simulated. Next, the integrated circuit is divided into channel-connected components and simulated for the channel-connected components. A table is created for each type of channel-connected component; and parameterized across chip variation equations are calculated from results of the integrated circuit simulation. Moreover, table entries are created, which include a number of transistor types, a number of unique transistor primitive patterns, and/or a number of paths through each of the transistor primitive patterns.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.