2001
DOI: 10.1109/43.945301
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AMGIE-A synthesis environment for CMOS analog integrated circuits

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Cited by 114 publications
(39 citation statements)
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“…Furthermore, the interval can be open or closed or be a single value. In other words it can be an inequality constraint or a equality constraint, respectively [60]. Examples are the power dissipation should be lower than 100 mW, the power supply voltage is 3 V ± 10%, and the tuning range should start at 1 MHz and extend to at least 1 GHz.…”
Section: Functional Specifications and Design Resourcesmentioning
confidence: 99%
“…Furthermore, the interval can be open or closed or be a single value. In other words it can be an inequality constraint or a equality constraint, respectively [60]. Examples are the power dissipation should be lower than 100 mW, the power supply voltage is 3 V ± 10%, and the tuning range should start at 1 MHz and extend to at least 1 GHz.…”
Section: Functional Specifications and Design Resourcesmentioning
confidence: 99%
“…This tool models the circuit in a set of analytic expressions which can be used by the optimization algorithm to fast evaluate each solution. Later, these tools were integrated into a synthesis environment called AMGIE [6] that covers the complete analog design flow, from specification to layout generation.…”
Section: Simulated Annealing Approaches In Analog Designmentioning
confidence: 99%
“…These approaches tried to capture the design knowledge required to perform some circuit implementation and implement it in algorithms. Optimization-based approaches started to be made in the late 1980's and are still an active area of research [6], [29], [27]. These approaches provide tools with greater flexibility and smaller overhead in comparison with knowledge-based approaches.…”
Section: Introductionmentioning
confidence: 99%
“…Analog design problem is typically an over constrained problem with many degrees of freedom and many performance requirements and it is still characterized by the lack of a unique and structured design flow definition. The majority of the applied techniques and tools used to solve the analog problem, such as DELIGHT.SPICE [1], ANACONDA [2], AMGIE [3], and APE [4], among many others [5], are based on powerful numerical optimization engines (e.g. evolutionary algorithms, geometric programming,) conjugated with evaluation engines (e.g.…”
Section: Introductionmentioning
confidence: 99%