Difference between revisions of "CoE 197U The MOS Switch"
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== Levels of Abstraction == | == Levels of Abstraction == | ||
− | As integrated circuits continue to increase in complexity and sophistication, the amount of information and information processing needed to design, fabricate, and test these ICs also increase. Without a way to organize this information, engineers can be easily overwhelmed. One strategy is to define levels of abstraction, where we partition the information, and use only the components needed for a particular task. This strategy can then be used to create models appropriate for a certain objective. | + | As integrated circuits continue to increase in complexity and sophistication, the amount of information and information processing needed to design, fabricate, and test these ICs also increase. Without a way to organize this information, engineers can be easily overwhelmed. One strategy is to define levels of abstraction, where we partition the information, and use only the components needed for a particular task. This strategy can then be used to create '''models''' appropriate for a certain objective. |
− | We create models to allow us to predict the behavior of a circuit or system. | + | We create models to allow us to predict the behavior of a circuit or system. One approach we can take is to model a whole system using transistor models, e.g. BSIM<ref name=bsim>https://bsim.berkeley.edu/</ref> models, with hundreds of parameters per transistor. The amount of computing resources needed for systems with millions of transistors could make this approach unfeasible. However, if we |
Revision as of 10:31, 8 March 2021
Contents
Levels of Abstraction
As integrated circuits continue to increase in complexity and sophistication, the amount of information and information processing needed to design, fabricate, and test these ICs also increase. Without a way to organize this information, engineers can be easily overwhelmed. One strategy is to define levels of abstraction, where we partition the information, and use only the components needed for a particular task. This strategy can then be used to create models appropriate for a certain objective.
We create models to allow us to predict the behavior of a circuit or system. One approach we can take is to model a whole system using transistor models, e.g. BSIM[1] models, with hundreds of parameters per transistor. The amount of computing resources needed for systems with millions of transistors could make this approach unfeasible. However, if we