Geng Zheng

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An automated top-down design flow to achieve physical design of Analog/Mixed-Signal Systems-on-Chip (AMS-SoCs) is difficult, especially for nano-CMOS. Process variation effects have profound impact on the performance of silicon versus layout design. In this paper metamodels, (surrogate models) and Particle Swarm Optimization (PSO) have been combined in an(More)
—The optimized OP-AMPs resulting out of a traditional flows, although may meet the given specifications after consuming significant design cycle time, do not guarantee an optimal system performance. In this paper, a three-step polynomial metamodel-assisted OP-AMP optimization flow is proposed to address these issues. The flow incorporate polynomial(More)
—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 transistor-level simulations. With this objective, artificial neural network (ANN) metamodels are incorporated in Verilog-AMS(More)
Current Verilog-AMS system level modeling does not capture the physical design (layout) information of the target design as it is meant to be fast behavioral simulation only. Thus, the results of behavioral simulation can be very inaccurate. In this paper a <b>paradigm shift of the current trend</b> is presented that integrates layout level information(More)
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