Synthesis Of Manufacturable Analog Circuits

Mukherjee, Tamal; Carley, L.R.; Rutenbar, Rob A.

doi:10.1109/iccad.1994.629880

Cited by 11 publications

(7 citation statements)

References 23 publications

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“…We know from experience that we cannot ignore these issues, since a well-performing synthesis algorithm can push a final design very close to the edge of the feasible region where all constraints are met. Even modest changes in process or operating conditions can then render the circuit nonfunctional [43]. We have two broad classes of solutions: add first-order constraints to the synthesis task, mimicking the "conservative" design practices of skilled designers, or fold a numerical manufacturability optimization into the synthesis process itself [44].…”

Section: Resultsmentioning

confidence: 99%

Anaconda: SimulationBased Synthesis of Analog Circuits Via Stochastic Pattern Search

Rutenbar¹,

Gielen²,

Antao³

2009

Computer-Aided Design of Analog Integrated Circuits and Systems

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Abstract-Analog synthesis tools have traditionally traded quality for speed, substituting simplified circuit evaluation methods for full simulation in order to accelerate the numerical search for solution candidates. As a result, these tools have failed to migrate into mainstream use primarily because of difficulties in reconciling the simplified models required for synthesis with the industrial-strength simulation environments required for validation. We argue that for synthesis to be practical, it is essential to synthesize a circuit using the same simulation environment created to validate the circuit. In this paper, we develop a new numerical search algorithm efficient enough to allow full circuit simulation of each circuit candidate, and robust enough to find good solutions for difficult circuits. The method combines the population-of-solutions ideas from evolutionary algorithms with a novel variant of pattern search, and supports transparent network parallelism. Comparison of several synthesized cell-level circuits against manual industrial designs demonstrates the utility of the approach.

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Section: Resultsmentioning

confidence: 99%

Anaconda: SimulationBased Synthesis of Analog Circuits Via Stochastic Pattern Search

Rutenbar¹,

Gielen²,

Antao³

2009

Computer-Aided Design of Analog Integrated Circuits and Systems

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“…Nevertheless, first attempts in this direction have already been presented. The ASTRX/OBLX tool has been extended with manufacturability considerations and uses a nonlinear infinite programming formulation to search for the worst case "corners" at which the evolving circuit should be evaluated for correct performance [103]. The approach has been successful in several test cases but does increase the required CPU time even further (roughly by -).…”

Section: Analog Circuit Synthesis and Optimizationmentioning

confidence: 99%

“…The challenge is also to incorporate yield and robustness optimization as an integrated part of circuit synthesis, instead of considering it as an separate step to be performed after a first nominal-only circuit sizing. First attempts in this direction have already been presented in Section III-C [103], [104], but the execution times still have to be reduced further.…”

Section: E Yield Estimation and Optimizationmentioning

confidence: 99%

Computer-aided design of analog and mixed-signal integrated circuits

2000

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“…By Symbolic Analysis, the characteristic approximation equation of the circuit is automatically generated and the solution is derived by simulated annealing such that the characteristic equation is satisfied. However, it has been reported that it takes 15 hours for the design of a differential amplifier made of five transistors, since some of the characteristic equations need to be stated by the designer [9]. Therefore, if the increasing size and complexity of the circuit are taken into consideration, a complete automatic design without using the know-how of the designer has not reached the practical stage.…”

Section: Introductionmentioning

confidence: 99%