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Analog/Mixed-Signal (AMS) circuits present significant challenges to designers with the increase of design complexity and aggressive technology scaling. Design optimization techniques that account for process variation while presenting an accurate and fast design flow which can perform design optimization in reasonable time are still lacking. As a trade-off of the accuracy and speed, this paper presents...
The increasing complexity of modern electronic devices driven by consumer demand and technological advancements presents significant challenges for designers. The reduced feature size and increased capabilities lead to more complex designs as more sub-systems are packed into a single chip. Traditional synthesis and optimization methods which involve CAD tools for accurate simulation are computationally...
Speeding up the design optimization process of Analog/Mixed-Signal circuits has been a subject of active research. Techniques such as metamodeling, artificial neural networks, and optimization over SPICE netlists have been used. While the results are accurate and promising, the effects of process variation on design space exploration still persist. Metamodels created by existing techniques are still...
The gap between abstraction levels in analog design is a major obstacle for advancing analog and mixed-signal design automation. Intelligent surrogate models for low-level analog building blocks are needed to bridge behavioral and transistorlevel simulations. With this objective, artificial neural network (ANN) metamodels are incorporated in Verilog-AMS to capture the highly nonlinear response of...
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