Stochastic-based placement template generator for analog IC layout-aware synthesis

In this paper, a methodology for automatic generation of placement templates for analog integrated circuit design targeted to state-of-the-art optimization-based layout-aware circuit-sizing flows, is proposed. The multi-objective optimization-based placement template generator inputs a Pareto set of sizing solutions and outputs a set of optimal sizing-independent non-slicing B*-tree floorplan representations, i.e., placement templates. Those templates fit the current state of the optimization process and are used within the layout-aware synthesis methodology to generate the floorplan of the following candidate solutions. This innovative methodology combines the advantages of template-based placement approaches, due to its fast packing, with the optimization-based ones, presenting floorplan solutions with improved compactability through the complete evolution of the Pareto set, completely eliminating the template setup effort. Moreover, as the placement template generator runs in parallel with the layout-aware loop, it has no impact on the overall execution time. Experimental results show that the proposed methodology outperforms state-of-the-art multi-template layout-aware synthesis approaches by achieving smaller placement areas for the same performances earlier in the optimization, and further, with a strongly reduced setup effort.     

Current-flow and current-density-aware multi-objective optimization of analog IC placement

In this paper, the concept of hierarchical multi-objective optimization is applied to analog integrated circuit placement automation, where current-flow and current-density considerations are taken to improve the reliability and, reduce post-layout routing-induced parasitics of the circuit. The current-flow constraints are satisfied by forcing a monotonic routing directly in an absolute placement representation, while the impact of current-intensive interconnects is mitigated with the electromigration-aware optimization of the optimal wiring topology for all nets of the circuit. The problem׳s complexity is reduced using the hierarchy in the circuit׳s partitions, combining, bottom-up, Pareto fronts of placements that explore the tradeoffs between the design objectives. The approach is demonstrated in analog circuit structures for the United Microelectronics Corporation 130 nm design process. Post-layout simulations show the importance of considering both current-flow and current-density considerations for an effective fully-automatic placement.     

Analog circuits optimization based on evolutionary computation techniques

This paper presents a new design automation tool, based on a modified genetic algorithm kernel, in order to improve efficiency on the analog IC design cycle. The proposed approach combines a robust optimization with corner analysis, machine learning techniques and distributed processing capability able to deal with multi-objective and constrained optimization problems. The resulting optimization tool and the improvement in design productivity is demonstrated for the design of CMOS operational amplifiers.     

Comparison of QMC-based yield-aware pareto front techniques for multi-objective robust analog synthesis

This paper focuses on the implementation of different techniques for the integration of yield estimation in the synthesis loop of analog integrated circuits (ICs). MOEA/D (Multi-Objective Evolutionary Algorithm with Decomposition) is considered to be a very powerful multi-objective optimization algorithm. For the consideration of yield, several techniques are discussed and three different yield-aware Pareto front (PF) generation techniques have been implemented on the MOEA/D optimizer. The implemented yield-aware PF techniques are compared by designing a fully-differential folded-cascode amplifier with different number of objectives. In order to embed the variation effects into the optimization loop, the statistical analysis of the circuit has been carried out by using a Quasi Monte Carlo (QMC) technique. The results suggest that especially two of these techniques look promising for high dimensional robust optimization of analog circuits.     

Analog circuit optimization system based on hybrid evolutionary algorithms

This paper investigates a hybrid evolutionary-based design system for automated sizing of analog integrated circuits (ICs). A new algorithm, called competitive co-evolutionary differential evolution (CODE), is proposed to design analog ICs with practical user-defined specifications. On the basis of the combination of HSPICE and MATLAB, the system links circuit performances, evaluated through electrical simulation, to the optimization system in the MATLAB environment, once a circuit topology is selected. The system has been tested by typical and hard-to-design cases, such as complex analog blocks with stringent design requirements. The results show that the design specifications are closely met, even in highly-constrained situations. Comparisons with available methods like genetic algorithms and differential evolution, which use static penalty functions to handle design constraints, have also been carried out, showing that the proposed algorithm offers important advantages in terms of optimization quality and robustness. Moreover, the algorithm is shown to be efficient.     

A novel high-throughput method for table look-up based analog design automation

Analog circuit synthesis ofen requires repeated evaluations of circuit under design to reach the final design goals. Circuit simulations using SPICE can provide accurate assessment of circuit performance. Spice simulations are costly and incur significant overhead. A faster transistor-level evaluation is needed to provide higher throughput for synthesis applications. Further, miniaturization of FET’s has added physical effects into SPICE models, which complicated their equations with every generation. That complication has forced analog synthesis tool developers and circuit designers alike to perform circuit evaluations using SPICE.Analog circuit design tools largely failed in their declared goal, to take over circuit optimization tasks from human designers mainly due to over simplications using custom-developed equations for evaluating circuit performance. Since it is more and more difficult to accurately capture transistor behavior with each new generation of silicon technology, a more practical approach to analog design automation is to keep human engineers at the center of the design flow by providing them with as much needed decision-supporting data as quickly as possible. Mapping the trade-off landscape of a topology with respect to design specifications, for example, can save designers trial and error time. This approach to analog design automation requires less accuracy from the simulation sign-off tools, such as SPICE. However, it demands much faster response for circuit performance evaluations with sufficient accuracy.In this paper, a new solution to both calculation overheads and model complexity is proposed. The proposed fast evaluation method uses a novel look-up table (LUT) algorithm to extract circuit information from complex physics-based transistor models used by SPICE. The model makes use of contemporary memory space, by replacing equations with look-up tables in addition to advanced interpolation methods. The achieved improvement is over 100× throughput and complete decoupling from physical phenomena compared to SPICE run-time, in exchange for few gigabytes of data per device. Examples are shown for the effectiveness of replacing SPICE with our model in a transistor sizing flow, while keeping 99% of the samples inside the 5% error range on 180 nm and 40 nm CMOS processes. The proposed solution is not intended to replace sign-off quality tools, such as SPICE. Rather, it is intended to be used as a fast performance evaluator in analog design automation flows.     

Automated topology synthesis of analog and RF integrated circuits: A survey

The puzzle of automatically synthesizing analog and radio frequency (RF) circuit topology has not yet been offered with an industrially-acceptable solution although endeavors still continue to seek a conquest in this area. This survey provides a comprehensive study of the techniques utilized for this purpose. The existing methods are analyzed from four different viewpoints, namely, structural view, conceptual view, implementation view, and application view. Different schemes are perused with their advantages and drawbacks discussed in the context of balanced performance between configuration-space coverage and search efficiency. Some prospective trends are pointed out to shed light on the upcoming research activities.     

ISGP: Iterative sequential geometric programming for precise and robust CMOS analog circuit sizing

In this paper, a fast yet accurate CMOS analog circuit sizing method, referred to as Iterative Sequential Geometric Programming (ISGP), has been proposed. In this methodology, a correction factor has been introduced for each parameter of the geometric programming (GP) compatible device and performance model. These correction factors are updated using a SPICE simulation after every iteration of a sequential geometric programming (SGP) optimization. The proposed methodology takes advantage of SGP based optimization, namely, fast convergence and effectively optimum design and at the same time it uses SPICE simulation to fine tune the design point by rectifying inaccuracy that may exists in the GP compatible device and performance models. In addition, the ISGP considers the requirement of common centroid layout and yield aware design centering for robust final design point specifying the number of fingers and finger widths for each transistor which makes the design point ready for layout.     

Fuzzy optimization models for analog test decisions

Test decisions still constitute one of the most difficult and time-consuming design tasks. This is particularly true in the analog domain where some basic test questions have not yet been completely resolved. Since the gap between a good and a bad analog circuit is not always well-defined, extensive tests may result in the rejection of many fault-free ICs. The objective of this article is to propose fuzzy optimization models that can help in the more realistic formulation and resolution of the analog test problem. The set of good or fault-free ICs is considered as a fuzzy set. Each performance test is represented by a membership function. A global test measure is obtained by aggregating all the performance tests. An illustrative example using these concepts is provided.     

Exploiting bounds optimization for the semi-formal verification of analog circuits

This paper proposes a semi-formal methodology for modeling and verification of analog circuits behavioral properties using multivariate optimization techniques. Analog circuit differential models are automatically extracted and their qualitative behavior is computed for interval-valued parameters, inputs and initial conditions. The method has the advantage of guaranteeing the rough enclosure of any possible dynamical behavior of analog circuits. The circuit behavioral properties are then verified on the generated transient response bounds. Experimental results show that the resulting state variable envelopes can be effectively employed for a sound verification of analog circuit properties, in an acceptable run-time.     

A new hybrid algorithm for analog ICs optimization based on the shrinking circles technique

This paper presents a novel technique named the Shrinking Circles to enhance the performance of optimization algorithms embedded in automated sizing tools of analog ICs. This technique creates a balance between the exploration and exploitation capabilities when the optimization algorithm is converging to a possible optimum point. With the help of the shrinking circles concept, we upgrade a hybridization version of Gravitational Search Algorithm with Particle Swarm Optimization (Advanced GSA_PSO). Accordingly, a developed tool for the automation of analog ICs sizing is proposed. The performance of this tool is evaluated by two cases: minimizing the power consumption of a two-stage CMOS op-amp and simultaneous minimizing the circuit area and power consumption of a folded-cascode op-amp. In this paper, the corners analysis is also incorporated into the proposed circuit sizing tool based on a straightforward procedure by which this tool not only can obtain the solutions being robust against process, voltage, and temperature (PVT) variations, but also it alleviates the computational burden. Comparisons with available methods show that the proposed tool performs much better in terms of efficiency.     

Power-aware hold optimization for ASIC physical synthesis

Hold timing closure is an important milestone at the physical design phase of every Application Specific Integrated Circuit (ASIC). Many approaches have been proposed by different researchers and commercial Electronic Design Automation (EDA) providers to fix hold timing violations, but there has been no effort to study the impact of each technique on power consumption. Nowadays, the rise of low power applications demand keeps pushing for the invention of new power reduction techniques. In this paper, we presented a novel approach for power consumption reduction by reducing the power increase seen during the hold timing optimization. A sample of 100 industrial post-CTS designs from different applications and fabrication process technologies (from 180 nm to 28 nm) was used to measure the ratios of Δpower/Δhold_timing and Δarea/Δhold_timing of each technique. The ratios were calculated after legalization and global routing to include not only the power/area added directly by the hold optimization, but also the power/area increases induced indirectly by the additional timing fixes needed after placement legalization and routing repair. By considering the impact on power consumption and area increase of each technique while optimizing the design we have reduced substantially the power increase and the area overhead caused by the hold fixing. Experimental results show a power reduction of 7%, and an area reduction of 1% on average, with a beneficial impact on hold timing and a neutral impact on setup timing.     

模拟集成电路的特点及设计平台

讨论了常规和射频模拟集成电路(IC)设计和工艺的特点，介绍了模拟集成电路设计平台，着重论述了电子设计自动化的软件工具、硬件平台，以及设计与工艺接口的设计数据库。详细介绍了模拟IC及RFIC的设计流程和工艺设计包。     

An inductor modeling and optimization toolbox for RF circuit design

This paper describes the SIDe-O toolbox and the support it can provide to the radio-frequency designer. SIDe-O is a computer-aided design toolbox developed for the design of integrated inductors based on surrogate modeling techniques and the usage of evolutionary optimization algorithms. The models used feature less than 1% error when compared to electromagnetic simulations while reducing the simulation time by several orders of magnitude. Furthermore, the tool allows the creation of S-parameter files that accurately describe the behavior of inductors for a given range of frequencies, which can later be used in SPICE-like simulations for circuit design in commercial environments. This toolbox provides a solution to the problem of accurately and efficiently optimizing inductors, which alleviates the bottleneck that these devices represent in the radio-frequency circuit design process.     

High speed sample and hold design using closed-loop pole-zero cancelation

A new closed loop Sample-and-Hold (S&H) architecture is proposed for pipeline analog-to-digital converter (ADC) that breaks the precision-speed-power trade off by means of canceling out the first closed loop pole. This pole-canceling results in widening the bandwidth of the S&H up to the second pole. In this architecture, two amplifiers are used: one for accuracy with little power consumption, another one for high-speed response, which consumes most of the total power. Exploiting these two amplifiers remedies some of the tradeoffs and limitations of opamp design in S&H circuits. Simulated by HSPICE with a standard BSIM3v3 0.13 μm technology, the S&H achieves 80 dB SFDR for a 1.6 V_ppd output at 500 MHz sampling rate.     

器件参数宏模型的精确建立及其在模拟集成电路性能建模与优化中的应用

Techniques for constructing metamodels of device parameters at BSIM3v3 level accuracy are presented to improve knowledge-based circuit sizing optimization. Based on the analysis of the prediction error of analytical performance expressions, operating point driven （OPD） metamodels of MOSFETs are introduced to capture the circuit＇s characteristics precisely. In the algorithm of metamodel construction, radial basis functions are adopted to interpolate the scattered multivariate data obtained from a well tailored data sampling scheme designed for MOSFETs. The OPD metamodels can be used to automatically bias the circuit at a specific DC operating point. Analytical-based performance expressions composed by the OPD metamodels show obvious improvement for most small-signal performances compared with simulation-based models. Both operating-point variables and transistor dimensions can be optimized in our nesting-loop optimization formulation to maximize design flexibility. The method is successfully applied to a low-voltage low-power amplifier.     

Accurate metamodels of device parameters and their applications in performance modeling and optimization of analog integrated circuits

Techniques for constructing metamodels of device parameters at BSIM3v3 level accuracy are presnted to improve knowledge-based circuit sizing optimization. Based on the analysis of the prediction error of analytical performance expressions, operating point driven (OPD) metamodels of MOSFETs are introduced to capture the circuit's characteristics precisely. In the algorithm of metamodel construction, radial basis functions are adopted to interpolate the scattered multivariate data obtained from a well tailored data sampling scheme designed for MOSFETs.The OPD metamodels can be used to automatically bias the circuit at a specific DC operating point. Analytical-based performance expressions composed by the OPD metamodels show obvious improvement for most small-signal performances compared with simulation-based models. Both operating-point variables and transistor dimensions can be optimized in our nesting-loop optimization formulation to maximize design flexibility. The method is successfully applied to a low-voltage low-power amplifier.     

Band-pass filter with high quality factor based on current differencing transconductance amplifier and current amplifier

This paper presents second order band-pass filter with high quality factor. Its high quality factor is provided by feedback circuit. The used second order filter is modified so that filters outputs through capacitor can be obtained to high impedance output. Thereby, there is no need the extra active element to obtain filter outputs. Also, the output stage of current differencing transconductance amplifier have only X− terminals instead of X+ and X− terminals. Furthermore, the quality factor of the band-pass filter with feedback circuit is increased by feedback gain consisting of only four transistors. Besides, to examine effects of parasitic elements, non-ideal and sensitivity, the overall structure is investigated deeply. Working conditions and boundaries of the overall structure is also defined. The simulation demonstrates good agreement between the theoretical expectations and simulation results.     

Co-AGSA: An efficient self-adaptive approach for constrained optimization of analog IC based on the shrinking circles technique

This paper aims to take a step forward to enhance the performance of the optimization kernel of electronic design automation (EDA) tools by coping with the existing challenges in the analog circuit sizing problems. For this purpose, a novel co-evolutionary-based optimization approach, called Co-AGSA, is proposed. In the Co-AGSA, a self-adaptive penalty technique based on the concept of the co-evolution model is incorporated into a powerful optimization algorithm, named advanced gravitational search algorithm (AGSA), to efficiently solve more realistic constrained optimization problems. The performance of the Co-AGSA approach is first evaluated by solving three constrained engineering design problems. Then, the optimization capability of the Co-AGSA-based IC sizing tool is validated using three different case studies, i.e., a two-stage op-amp, a folded-cascode op-amp and a two-stage telescopic cascode amplifier, to show the applicability of the proposed approach. The results demonstrate that the Co-AGSA gives better performance compared to other approaches in terms of efficiency, accuracy and robustness.