Synthesis tools for mixed-signal ICs: progress on frontend and backend strategies
DAC '96 Proceedings of the 33rd annual Design Automation Conference
MAELSTROM: efficient simulation-based synthesis for custom analog cells
Proceedings of the 36th annual ACM/IEEE Design Automation Conference
WSEAS Transactions on Circuits and Systems
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This paper presents a new method to improve analog design automation and thus design reuse. A top-down constraint driven methodology is applied to design complex analog system. This approach formulates the design problem as a multi objective optimization problem (MOOP). In the last decades optimization has been introduced in the field of analog design. Nevertheless, the knowledge needed to build an optimization problem dedicated to an analog circuit is still out of reach of designers. Our approach is a new efficient way to capture design performance metrics allowing an automatic optimization problem formulation. Based only on performance specifications (e.g., gain of 80dB) and preferences of the designers (i.e, maximize or minimize a given performance metric), a multi objective optimisation problem (MOOP) is built. An example using hybrid algorithm involving a pattern search based algorithm and a conjugate gradient based one to solve the MOOP for a CMOS two stage Opamp is given.