An Efficient Methodology for Hierarchical Synthesis of Mixed-Signal Systems with Fully Integrated Building Block Topology Selection

Eeckelaert,; Schoofs,; Gielen,; Steyaert, Michiel; Sansen,

doi:10.1109/date.2007.364571

Cited by 14 publications

(12 citation statements)

References 10 publications

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“…In [8] the Manhattan distance is used to sort the individuals to a reference individual. It is calculated using positions assigned to each individual according to its performance values.…”

Section: A Using a Unique Indexing Variablementioning

confidence: 99%

“…A simple approach is to use the euclidean distance in the performance space to sort the population with respect the individual being mutated (the reference individual). In [8] a similar solution is proposed that assigns a relative position to each individual for each design objective. These positions are used to sort the population with respect to the reference individual.…”

Section: Introductionmentioning

confidence: 99%

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Implementation issues in the hierarchical composition of performance models of analog circuits

Velasco-Jimenez¹,

Castro-López²,

Roca³

et al. 2014

Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE), 2014

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Emerging hierarchical design methodologies based on the use of Pareto-optimal fronts (PoFs) are promising candidates to reduce the bottleneck in the design of analog circuits. However, little work has been reported about how to transmit the information provided by the PoFs of low hierarchical level blocks through the hierarchy to compose the performance models of higher-level blocks. This composition actually poses several problems such as the dependence of the PoF performances on the surrounding circuitry and the complexity of dealing with multi-dimensional PoFs in order to explore more efficiently the design space. To deal with these problems, this paper proposes new mechanisms to represent and select candidate solutions from multi-dimensional PoFs that are transformed to the changing operating conditions enforced by the surrounding circuitry. These mechanisms are demonstrated with the generation of the performance model of an active filter by composing previously generated PoFs of operational amplifiers.

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“…In [8] the Manhattan distance is used to sort the individuals to a reference individual. It is calculated using positions assigned to each individual according to its performance values.…”

Section: A Using a Unique Indexing Variablementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Implementation issues in the hierarchical composition of performance models of analog circuits

Velasco-Jimenez¹,

Castro-López²,

Roca³

et al. 2014

Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE), 2014

View full text Add to dashboard Cite

show abstract

“…Recently, since Pareto-optimality can provide not only the solutions of multi-objective trade-off of analog designs but also the circuit information from the circuit level to the higher design level [6], the research on analog design automation using Pareto-optimal theory [7] has been widely reported [8,9,10,11,12,13,5,14]. In [9], the method using Pareto-optimality to explore the performance space of a circuit is reported.…”

Section: Introductionmentioning

confidence: 99%

“…Besides the efforts upon extraction of the Pareto surface of analog performance space, the idea to mix the Pareto-optimal trade-off model with the system behavioral model is reported in [8]. In [14], a hierarchical synthesis methodology to provide a system-level Pareto-optimal performance trade-off at all the design levels is reported. In [5], Gielen et al report their adapted multi-objective optimization algorithm so called MOJITO for simultaneously sizing the huge number of topologies they synthesized.…”

Section: Introductionmentioning

confidence: 99%

Efficiently finding the ‘best’ solution with multi-objectives from multiple topologies in topology library of analog circuit

Liu¹,

Yoshioka²,

Homma³

et al. 2009

2009 Asia and South Pacific Design Automation Conference

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This paper presents a new method using multi-objective optimization algorithm to automatically find the best solution from a topology library of analog circuits. Firstly this method abstracts the Pareto-front of each topology in the library by SPICE simulation. Then, the Pareto-front of the topology library is abstracted from the Pareto-fronts of topologies in the library followed by the theorem we proved. The best solution which is defined as the nearest point to specification on the Pareto-front of the topology library is then calculated by the equations derived from collinearity theorem. After the local searching using Nelder-Mead method maps the calculated best solution back to design variable space, the non-dominated best solution is obtained.Comparing to the optimization methods using single-objective optimization algorithms, this work can efficiently find the best non-dominated solution from multiple topologies for different specifications without additional time-consuming optimizing iterations.The experiments demonstrate that this method is feasible and practical in actual analog designs especially for uncertain or different multidimensional specifications.

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“…This means that to get an optimal tradeoff across multiple topologies, one needs one sizing run per topology before merging the topologies, as Figure 1 (c) shows. In system-level design, tradeoffs of topologies are merged; then, search at higher-level blocks implicitly performs topology selection of lower-level blocks [7]. But tradeoff-merging has limits: it would be extremely tedious and time-consuming to do a different sizing run for each of 100 or 1000 topologies.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous multi-topology multi-objective sizing across thousands of analog circuit topologies

McConaghy¹,

Palmers²,

Gielen³

et al. 2007

Proceedings of the 44th Annual Conference on Design Automation - DAC '07

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This paper presents MOJITO, a system which optimizes across thousands of analog circuit topologies simultaneously, and returns a set of sized topologies that collectively provide a performance tradeoff. MOJITO defines a space of possible topologies as a hierarchically organized combination of trusted analog building blocks. To minimize the setup burden: no topology selection rules or abstract behaviors need to be specified, and performance calculations are SPICE-based. The search algorithm is a novel multi-objective evolutionary algorithm that uses an age-layered population structure to balance exploration vs. exploitation. Results are shown for a space having 3528 one-and two-stage operational amplifier topologies.

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An Efficient Methodology for Hierarchical Synthesis of Mixed-Signal Systems with Fully Integrated Building Block Topology Selection

Cited by 14 publications

References 10 publications

Implementation issues in the hierarchical composition of performance models of analog circuits

Implementation issues in the hierarchical composition of performance models of analog circuits

Efficiently finding the ‘best’ solution with multi-objectives from multiple topologies in topology library of analog circuit

Simultaneous multi-topology multi-objective sizing across thousands of analog circuit topologies

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An Efficient Methodology for Hierarchical Synthesis of Mixed-Signal Systems with Fully Integrated Building Block Topology Selection

Cited by 14 publications

References 10 publications

Implementation issues in the hierarchical composition of performance models of analog circuits

Implementation issues in the hierarchical composition of performance models of analog circuits

Efficiently finding the &#x2018;best&#x2019; solution with multi-objectives from multiple topologies in topology library of analog circuit

Simultaneous multi-topology multi-objective sizing across thousands of analog circuit topologies

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Efficiently finding the ‘best’ solution with multi-objectives from multiple topologies in topology library of analog circuit