Design of a process monitor and of peripheral circuits enabling the characterisation of CMOS 45nm Ultra Low Power and Litho Friendly optimised standard cells

L’evoluzione della tecnologia CMOS è caratterizzata dallo scaling delle dimensioni dei dispositivi e dalla riduzione del consumo di potenza. Dal momento che le difficoltà di realizzazione aumentano al diminuire delle dimensioni, nei nodi tecnologici più recenti la velocità del processo di scaling sta diminuendo. Uno dei maggiori problemi causati dalla riduzione delle dimensioni dei dispositivi è la variabilità del processo di fabbricazione. L’obiettivo di questo progetto è quello di ridurre gli effetti che la variabilità del processo di realizzazione nel nodo tecnologico CMOS 45 nm ha sulle prestazioni della logica digitale, grazie a metodi di design non convenzionali. In questo progetto è stato realizzato un testchip per studiare e quantificare i vantaggi, in termini di prestazioni, ottenuti tramite la progettazione di librerie standard-like ottimizzate secondo canoni di litho-friendliness (LF) e ultra low power (ULP). Le standard cells LF utilizzano layout estremamente regolari. Le standard cells ULP sono progettate per operare con tensioni di alimentazioni notevolmente ridotte. Il fine principale del testchip sta nell’ottenere una panoramica della variabilità locale e globale di parametri significativi nella progettazione digitale: ad esempio la frequenza di lavoro e il consumo di potenza. Inoltre, nel testchip sono stati realizzati alcuni circuiti originali per il monitoraggio della qualità del processo di fabbricazione. The evolution of the CMOS technology is characterized by the scaling of transistors size and by the reduction of their power dissipation. In the last technology nodes the speed of the scaling process is decreasing, since the complexity of the technology increases with its size reduction. One of the main issues caused by the shrinking of the transistor size is the variability of the fabrication process. The target of this project is to reduce the effects of the variability of the realisation process in a CMOS 45 nm technology node in digital circuits performances, using unconventional design methods. A testchip is realised in this project to investigate and to quantify the improvement of the circuit performances obtained through the design of dedicated litho-friendly (LF) and of the Ultra Low Power (ULP) standard-like libraries. The LF standard cells libraries are optimised for lithography using ultra regular layout styles. The ULP standard cells library is optimised to operate at extremely low supply voltage. The main aim of the testchip is to get insight into the local and the global variability of relevant parameters for digital design, such as operating frequency and power consumption. In this testchip some structures are also included, to develop some innovative circuits that should help to monitor the quality of the technology process

Design of variability compensation architectures of digital circuits with adaptive body bias

The most critical concern in circuit is to achieve high level of performance with very tight power constraint. As the high performance circuits moved beyond 45nm technology one of the major issues is the parameter variation i.e. deviation in process, temperature and voltage (PVT) values from nominal specifications. A key process parameter subject to variation is the transistor threshold voltage (Vth) which impacts two important parameters: frequency and leakage power. Although the degradation can be compensated by the worstcase scenario based over-design approach, it induces remarkable power and performance overhead which is undesirable in tightly constrained designs. Dynamic voltage scaling (DVS) is a more power efficient approach, however its coarse granularity implies difficulty in handling fine grained variations. These factors have contributed to the growing interest in power aware robust circuit design. We propose a variability compensation architecture with adaptive body bias, for low power applications using 28nm FDSOI technology. The basic approach is based on a dynamic prediction and prevention of possible circuit timing errors. In our proposal we are using a Canary logic technique that enables the typical-case design. The body bias generation is based on a DLL type method which uses an external reference generator and voltage controlled delay line (VCDL) to generate the forward body bias (FBB) control signals. The adaptive technique is used for dynamic detection and correction of path failures in digital designs due to PVT variations. Instead of tuning the supply voltage, the key idea of the design approach is to tune the body bias voltage bymonitoring the error rate during operation. The FBB increases operating speed with an overhead in leakage power

Layout regularity metric as a fast indicator of process variations

Integrated circuits design faces increasing challenge as we scale down due to the increase of the effect of sensitivity to process variations. Systematic variations induced by different steps in the lithography process affect both parametric and functional yields of the designs. These variations are known, themselves, to be affected by layout topologies. Design for Manufacturability (DFM) aims at defining techniques that mitigate variations and improve yield. Layout regularity is one of the trending techniques suggested by DFM to mitigate process variations effect. There are several solutions to create regular designs, like restricted design rules and regular fabrics. These regular solutions raised the need for a regularity metric. Metrics in literature are insufficient for different reasons; either because they are qualitative or computationally intensive. Furthermore, there is no study relating either lithography or electrical variations to layout regularity. In this work, layout regularity is studied in details and a new geometrical-based layout regularity metric is derived. This metric is verified against lithographic simulations and shows good correlation. Calculation of the metric takes only few minutes on 1mm x 1mm design, which is considered fast compared to the time taken by simulations. This makes it a good candidate for pre-processing the layout data and selecting certain areas of interest for lithographic simulations for faster throughput. The layout regularity metric is also compared against a model that measures electrical variations due to systematic lithographic variations. The validity of using the regularity metric to flag circuits that have high variability using the developed electrical variations model is shown. The regularity metric results compared to the electrical variability model results show matching percentage that can reach 80%, which means that this metric can be used as a fast indicator of designs more susceptible to lithography and hence electrical variations

Nondissipative optimum charge regulator advanced study Semiannual report

Improved reliability of multiphase nondissipative optimum charge regulato

Electrical Design for Manufacturability Solutions: Fast Systematic Variation Analysis and Design Enhancement Techniques

The primary objectives in this research are to develop computer-aided design (CAD) tools for Design for Manufacturability (DFM) solutions that enable designers to conduct more rapid and more accurate systematic variation analysis, with different design enhancement techniques. Four main CAD tools are developed throughout my thesis. The first CAD tool facilitates a quantitative study of the impact of systematic variations for different circuits' electrical and geometrical behavior. This is accomplished by automatically performing an extensive analysis of different process variations (lithography and stress) and their dependency on the design context. Such a tool helps to explore and evaluate the systematic variation impact on any type of design. Secondly, solutions in the industry focus on the "design and then fix philosophy", or "fix during design philosophy", whereas the next CAD tool involves the "fix before design philosophy". Here, the standard cell library is characterized in different design contexts, different resolution enhancement techniques, and different process conditions, generating a fully DFM-aware standard cell library using a newly developed methodology that dramatically reduce the required number of silicon simulations. Several experiments are conducted on 65nm and 45nm designs, and demonstrate more robust and manufacturable designs that can be implemented by using the DFM-aware standard cell library. Thirdly, a novel electrical-aware hotspot detection solution is developed by using a device parameter-based matching technique since the state-of-the-art hotspot detection solutions are all geometrical based. This CAD tool proposes a new philosophy by detecting yield limiters, also known as hotspots, through the model parameters of the device, presented in the SPICE netlist. This novel hotspot detection methodology is tested and delivers extraordinary fast and accurate results. Finally, the existing DFM solutions, mainly address the digital designs. Process variations play an increasingly important role in the success of analog circuits. Knowledge of the parameter variances and their contribution patterns is crucial for a successful design process. This information is valuable to find solutions for many problems in design, design automation, testing, and fault tolerance. The fourth CAD solution, proposed in this thesis, introduces a variability-aware DFM solution that detects, analyze, and automatically correct hotspots for analog circuits

A Novel Methodology for Error-Resilient Circuits in Near-Threshold Computing

Department of Electrical EngineeringThe main goal of designing VLSI system is high performance with low energy consumption. Actually, to realize the human-related techniques, such as internet of things (IoTs) and wearable devices, efficient power management techniques are required. Near threshold computing (NTC) is one of the most well-known techniques which is proposed for the trade-off between energy consumption and performance improvement. With this technique, the solution would be selected by the lowest energy with highest performance. However, NTC suffers a significant performance degradation, which is prone to timing errors. However, main goal of Integrated Circuit (IC) design is making the circuit to always operate correctly though worst-case condition. But, in order to make the circuit always work correctly, considerable area and power overheads may occur. As an alternative, better-than-worst-case (BTWC) design paradigm has been proposed. One of the main design of BTWC design includes error-resilient circuits which detect and correct timing errors, though they cause area and power overheads. In this thesis, we propose various design methodologies which provide an optimal implementation of error-resilient circuits. Slack-based, sensitivity-based methodology and modified Quine-McCluskey (Q-M) algorithm have been exploited to earn the minimum set of error-resilient circuits without any loss of detection ability. From sensitivity-based methodology, benchmark results show that the optimal designs reduces up to 46% monitoring area without compromising error detection ability of the initial error-resilient design. From the Quine-McCluskey (Q-M) algorithm, benchmark results show that optimal design reduces up to 72% of flip-flops which are required to be changed to error-resilient circuits without compromising an error detection ability. In addition, more power and area reduction can be possible when reasonable underestimation of error detection ability is accepted. Monte-Carlo analysis validates that our proposed method is tolerant to process variation.ope

Low-power digital processor for wireless sensor networks

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.Includes bibliographical references (p. 69-72).In order to make sensor networks cost-effective and practical, the electronic components of a wireless sensor node need to run for months to years on the same battery. This thesis explores the design of a low-power digital processor for these sensor nodes, employing techniques such as hardwired algorithms, lowered supply voltages, clock gating and subsystem shutdown. Prototypes were built on both a FPGA and ASIC platform, in order to verify functionality and characterize power consumption. The resulting 0.18[micro]m silicon fabricated in National Semiconductor Corporation's process was operational for supply voltages ranging from 0.5V to 1.8V. At the lowest operating voltage of 0.5V and a frequency of 100KHz, the chip performs 8 full-accuracy FFT computations per second and draws 1.2nJ of total energy per cycle. Although this energy/cycle metric does not surpass existing low-energy processors demonstrated in literature or commercial products, several low-power techniques are suggested that could drastically improve the energy metrics of a future implementation.by Daniel Frederic Finchelstein.S.M

SATTA: a Self-Adaptive Temperature-based TDF awareness methodology for dynamically reconfigurable FPGAs

Dependability issues due to non functional properties are emerging as major cause of faults in modern digital systems. Effective countermeasures have to be presented to properly manage their critical timing effects. This paper presents a methodology to avoid transition delay faults in FPGA-based systems, with low area overhead. The approach is able to exploit temperature information and aging characteristics to minimize the cost in terms of performances degradation and power consumption. The architecture of a hardware manager able to avoid delay faults is presented and deeply analyzed, as well as its integration in the standard implementation design flow

A Cross-level Verification Methodology for Digital IPs Augmented with Embedded Timing Monitors

Smart systems implement the leading technology advances in the context of embedded devices. Current design methodologies are not suitable to deal with tightly interacting subsystems of different technological domains, namely analog, digital, discrete and power devices, MEMS and power sources. The interaction effects between the components and between the environment and the system must be modeled and simulated at system level to achieve high performance. Focusing on digital subsystem, additional design constraints have to be considered as a result of the integration of multi-domain subsystems in a single device. The main digital design challenges combined with those emerging from the heterogeneous nature of the whole system directly impact on performance, hence propagation delay, of the digital component. In this paper we propose a design approach to enhance the RTL model of a given digital component for the integration in smart systems, and a methodology to verify the added features at system-level. The design approach consists of ``augmenting'' the RTL model through the automatic insertion of delay sensors, which are capable of detecting and correcting timing failures. The verification methodology consists of an automatic flow of two steps. Firstly the augmented model is abstracted to system-level (i.e., SystemC TLM); secondly mutants, which are code mutations to emulate timing failures, are automatically injected into the abstracted model. Experimental results demonstrate the applicability of the proposed design and verification methodology and the effectiveness of the simulation performance