Computer-aided design and analysis of circuits and semiconductor – Nanotechnology related integrated circuit design
Reexamination Certificate
2002-08-27
2004-02-10
Smith, Matthew (Department: 2825)
Computer-aided design and analysis of circuits and semiconductor
Nanotechnology related integrated circuit design
C716S030000, C716S030000, C716S030000, C716S030000, C716S030000, C716S030000, C716S030000
Reexamination Certificate
active
06691285
ABSTRACT:
FIELD OF THE INVENTION
This invention relates generally to computerized optimization of electronic circuits and more particularly to the selection of various field-effect transistor (FET) width-to-length ratios or bipolar transistor areas for circuit optimization.
BACKGROUND OF THE INVENTION
Computerized optimization of electronic circuits may involve adjusting a set of circuit parameters (i.e. resistor values, FET sizes, etc.), running a simulation to see if the new values have improved a performance parameter (i.e. bandwidth, amplification, circuit delay), and selecting a new set of parameters based upon the results of the simulation and some search algorithm. This process may continue until a desired result is achieved (i.e. the performance parameter reaches or exceeds a certain value) or until all of a set of circuit parameters has been tried (i.e. an exhaustive search).
Typically, when optimizing a circuit for use on an integrated circuit, the primary circuit parameters that may be adjusted are the sizes (i.e. the width-to-length ratios of the FETs, or the area of the bipolar transistors) of the transistors in the circuit. Some of the methods for picking adjusted sizes for a transistor include picking a totally random value from a specified range or picking a size that is linearly different from the original value resulting in a set of values that may be evaluated that is linearly distributed a specified range. One problem with picking a random transistor size is that a large number of random values may need to be evaluated before an optimal value is found. Also, using random values may yield a different result each time the optimization is run so this method does not necessarily produce a deterministic result. One problem with picking a value that differs linearly from the original value is that it may take a great number of iterations to reach an optimal value that lies far from the initial transistor size.
SUMMARY OF THE INVENTION
A set of discrete transistor sizes spread in an exponential manner over a specified range is the basis for adjusted transistor sizes used to optimize a circuit. One of the discrete transistor sizes may be the original transistor size or other starting point for the optimization.
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Anderson Dave
Burden David C.
Hewlett--Packard Development Company, L.P.
Liu Andrea
Neudeck Alexander J.
Smith Matthew
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