Methodologies for Statistical Behavioral Modeling and Simulation of Complex Analog Integrated Circuits PDF Download
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Author: Jan Swidzinski
Publisher:
ISBN:
Category :
Languages : en
Pages : 342
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Book Description
Author: Jan Swidzinski
Publisher:
ISBN:
Category :
Languages : en
Pages : 342
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Book Description
Author: Paul A. Duran
Publisher: Springer Science & Business Media
ISBN: 1441986308
Category : Technology & Engineering
Languages : en
Pages : 239
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Book Description
A Practical Guide to Analog Behavioral Modeling for IC System Design presents a methodology for abstracting an IC system so that the designer can gain a macroscopic view of how sub-systems interact, as well as verify system functionality in various applications before committing to a design. This will prevent problems that may be caused late in the design-cycle by incompatibilities between the individual blocks that comprise the overall system. This book will focus on the techniques of modelling IC systems through analog behavioral modeling and simulation. It will investigate a practical approach by which designers can put together these systems to analyze topological and architectural issues to optimize IC system performance. Highlights: Discussions on modeling and simulation from SPICE to behavioral simulators Comparison of various hardware description languages and a discussion on the effects of language standardization Explanation on how to reduce time-to-market by decreasing design-cycle time through modeling and simulation Contains more than 25 building block examples that can be used to construct mixed-signal IC system models Analysis of 4 different IC systems using various levels of model detail This book is intended for the practicing engineer who would like to gain practical knowledge in applications of analog behavioral modelling for IC system design.
Author: Henry Chang
Publisher: Springer Science & Business Media
ISBN: 1441987525
Category : Technology & Engineering
Languages : en
Pages : 368
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Book Description
Analog circuit design is often the bottleneck when designing mixed analog-digital systems. A Top-Down, Constraint-Driven Design Methodology for Analog Integrated Circuits presents a new methodology based on a top-down, constraint-driven design paradigm that provides a solution to this problem. This methodology has two principal advantages: (1) it provides a high probability for the first silicon which meets all specifications, and (2) it shortens the design cycle. A Top-Down, Constraint-Driven Design Methodology for Analog Integrated Circuits is part of an ongoing research effort at the University of California at Berkeley in the Electrical Engineering and Computer Sciences Department. Many faculty and students, past and present, are working on this design methodology and its supporting tools. The principal goals are: (1) developing the design methodology, (2) developing and applying new tools, and (3) `proving' the methodology by undertaking `industrial strength' design examples. The work presented here is neither a beginning nor an end in the development of a complete top-down, constraint-driven design methodology, but rather a step in its development. This work is divided into three parts. Chapter 2 presents the design methodology along with foundation material. Chapters 3-8 describe supporting concepts for the methodology, from behavioral simulation and modeling to circuit module generators. Finally, Chapters 9-11 illustrate the methodology in detail by presenting the entire design cycle through three large-scale examples. These include the design of a current source D/A converter, a Sigma-Delta A/D converter, and a video driver system. Chapter 12 presents conclusions and current research topics. A Top-Down, Constraint-Driven Design Methodology for Analog Integrated Circuits will be of interest to analog and mixed-signal designers as well as CAD tool developers.
Author: Daniel Platte
Publisher: Cuvillier Verlag
ISBN: 3867276838
Category :
Languages : en
Pages : 173
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Book Description
Author: Hui Li
Publisher:
ISBN: 9781109629538
Category :
Languages : en
Pages : 220
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Book Description
In terms of accuracy of the model, we computed average error, worst case error, and special design corner case error, by compared against SPICE simulation result. We found because of the nature of SVM, it trades off corner case accuracy for learning the general behavior trend. Therefore, for improving worst case and corner case accuracy, we applied Gaussian process for machine learning approach, and results show great accuracy improvement with reasonable evaluation speed tradeoffs.
Author: Junjie Yang
Publisher:
ISBN:
Category : Computer simulation
Languages : en
Pages : 302
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Book Description
Author: Fang Gong
Publisher:
ISBN:
Category :
Languages : en
Pages : 118
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Book Description
In the past few decades, the semiconductor industry kept shrinking the feature size of CMOS transistors with great efforts in order to pack more functional devices onto a smaller footprint, which follows the famous Moore's law. However, it becomes extremely difficult to ensure the correct functionalities of fabricated circuits in today's integrated circuit (IC) technology, because the increasing variations from the manufacturing have introduced inevitable and significant uncertainties in circuit performance. Moreover, the requirements of lower power consumption and higher operating frequency for today's mobile devices demand tighter performance constraints on fabricated circuits. Therefore, reliable and efficient statistical analysis methodologies are highly sought to enable IC designers to predict the stochastic behavior in fabricated circuits under random process variations before entering expensive manufacturing. In this research, the impacts of process variations are studied in the contexts of failure analysis of memory circuits, stochastic behavioral modeling and variational capacitance extraction and novel solutions to these contexts are presented. In particular, memory circuits require an extremely small failure probability for one single cell due to their high replication count on a small footprint, thereby making it a great challenging task to provide accurate estimations. To this end, an improved importance sampling algorithm is proposed to significantly expedite the convergence rate of failure probability estimation for memory circuits without compromising accuracy. For high dimensional problems, the conventional importance sampling schemes tend to lose accuracy and become very unreliable. To fix this issue, a novel and fast statistical analysis is presented to estimate the extremely small failure probability of memory circuits in high dimensions. In addition, an efficient statistical analysis is proposed to explore the stochastic behavior of circuit designs due to random process variations. This methodology enables IC designers to accurately predict the "arbitrary" probabilistic distribution of circuit performance considering the uncertainties from the manufacturing. Lastly, parasitic capacitance has more impact on circuit performance in today's sub-micron CMOS technology, which leads to unpredictable delay variations and severe timing errors. To address this issue, a novel and fast capacitance extraction algorithm is proposed to model the geometric variations of interconnect circuits and accurately calculate the variational parasitic capacitance. These stochastic modeling and analysis methodologies can be used to analyze custom circuits under process variations in the present nano-technology era and future generations of IC technology.
Author: Christopher Michael
Publisher: Springer Science & Business Media
ISBN: 9780792392996
Category : Computers
Languages : en
Pages : 220
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Book Description
As MOS devices are scaled to meet increasingly demanding circuit specifications, process variations have a greater effect on the reliability of circuit performance. For this reason, statistical techniques are required to design integrated circuits with maximum yield. Statistical Modeling for Computer-Aided Design of MOS VLSI Circuits describes a statistical circuit simulation and optimization environment for VLSI circuit designers. The first step toward accomplishing statistical circuit design and optimization is the development of an accurate CAD tool capable of performing statistical simulation. This tool must be based on a statistical model which comprehends the effect of device and circuit characteristics, such as device size, bias, and circuit layout, which are under the control of the circuit designer on the variability of circuit performance. The distinctive feature of the CAD tool described in this book is its ability to accurately model and simulate the effect in both intra- and inter-die process variability on analog/digital circuits, accounting for the effects of the aforementioned device and circuit characteristics. Statistical Modeling for Computer-Aided Design of MOS VLSI Circuits serves as an excellent reference for those working in the field, and may be used as the text for an advanced course on the subject.
Author: Paul K. Davis
Publisher: John Wiley & Sons
ISBN: 1119484987
Category : Technology & Engineering
Languages : en
Pages : 992
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Book Description
This volume describes frontiers in social-behavioral modeling for contexts as diverse as national security, health, and on-line social gaming. Recent scientific and technological advances have created exciting opportunities for such improvements. However, the book also identifies crucial scientific, ethical, and cultural challenges to be met if social-behavioral modeling is to achieve its potential. Doing so will require new methods, data sources, and technology. The volume discusses these, including those needed to achieve and maintain high standards of ethics and privacy. The result should be a new generation of modeling that will advance science and, separately, aid decision-making on major social and security-related subjects despite the myriad uncertainties and complexities of social phenomena. Intended to be relatively comprehensive in scope, the volume balances theory-driven, data-driven, and hybrid approaches. The latter may be rapidly iterative, as when artificial-intelligence methods are coupled with theory-driven insights to build models that are sound, comprehensible and usable in new situations. With the intent of being a milestone document that sketches a research agenda for the next decade, the volume draws on the wisdom, ideas and suggestions of many noted researchers who draw in turn from anthropology, communications, complexity science, computer science, defense planning, economics, engineering, health systems, medicine, neuroscience, physics, political science, psychology, public policy and sociology. In brief, the volume discusses: Cutting-edge challenges and opportunities in modeling for social and behavioral science Special requirements for achieving high standards of privacy and ethics New approaches for developing theory while exploiting both empirical and computational data Issues of reproducibility, communication, explanation, and validation Special requirements for models intended to inform decision making about complex social systems
Author: Louis Scheffer
Publisher: CRC Press
ISBN: 1351837591
Category : Technology & Engineering
Languages : en
Pages : 593
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Book Description
Presenting a comprehensive overview of the design automation algorithms, tools, and methodologies used to design integrated circuits, the Electronic Design Automation for Integrated Circuits Handbook is available in two volumes. The first volume, EDA for IC System Design, Verification, and Testing, thoroughly examines system-level design, microarchitectural design, logical verification, and testing. Chapters contributed by leading experts authoritatively discuss processor modeling and design tools, using performance metrics to select microprocessor cores for IC designs, design and verification languages, digital simulation, hardware acceleration and emulation, and much more. Save on the complete set.
