Machine Learning In Vlsi Computer Aided Design

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Machine Learning in VLSI Computer-Aided Design

Ibrahim (Abe) M. Elfadel,Duane S. Boning,Xin Li
Machine Learning in VLSI Computer Aided Design Book PDF

Author : Ibrahim (Abe) M. Elfadel,Duane S. Boning,Xin Li
Publisher : Springer
Page : 694 pages
File Size : 47,9 Mb
Release : 2019-03-15
Category : Technology & Engineering
ISBN : 9783030046668

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Machine Learning in VLSI Computer-Aided Design by Ibrahim (Abe) M. Elfadel,Duane S. Boning,Xin Li Pdf

This book provides readers with an up-to-date account of the use of machine learning frameworks, methodologies, algorithms and techniques in the context of computer-aided design (CAD) for very-large-scale integrated circuits (VLSI). Coverage includes the various machine learning methods used in lithography, physical design, yield prediction, post-silicon performance analysis, reliability and failure analysis, power and thermal analysis, analog design, logic synthesis, verification, and neuromorphic design. Provides up-to-date information on machine learning in VLSI CAD for device modeling, layout verifications, yield prediction, post-silicon validation, and reliability; Discusses the use of machine learning techniques in the context of analog and digital synthesis; Demonstrates how to formulate VLSI CAD objectives as machine learning problems and provides a comprehensive treatment of their efficient solutions; Discusses the tradeoff between the cost of collecting data and prediction accuracy and provides a methodology for using prior data to reduce cost of data collection in the design, testing and validation of both analog and digital VLSI designs. From the Foreword As the semiconductor industry embraces the rising swell of cognitive systems and edge intelligence, this book could serve as a harbinger and example of the osmosis that will exist between our cognitive structures and methods, on the one hand, and the hardware architectures and technologies that will support them, on the other....As we transition from the computing era to the cognitive one, it behooves us to remember the success story of VLSI CAD and to earnestly seek the help of the invisible hand so that our future cognitive systems are used to design more powerful cognitive systems. This book is very much aligned with this on-going transition from computing to cognition, and it is with deep pleasure that I recommend it to all those who are actively engaged in this exciting transformation. Dr. Ruchir Puri, IBM Fellow, IBM Watson CTO & Chief Architect, IBM T. J. Watson Research Center

Machine Learning in VLSI Computer-aided Design

Ibrahim (Abe) M. Elfadel,Duane S. Boning,Xin Li
Machine Learning in VLSI Computer aided Design Book PDF

Author : Ibrahim (Abe) M. Elfadel,Duane S. Boning,Xin Li
Publisher : Unknown
Page : 128 pages
File Size : 52,7 Mb
Release : 2019
Category : Integrated circuits
ISBN : 3030046672

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Machine Learning in VLSI Computer-aided Design by Ibrahim (Abe) M. Elfadel,Duane S. Boning,Xin Li Pdf

This book provides readers with an up-to-date account of the use of machine learning frameworks, methodologies, algorithms and techniques in the context of computer-aided design (CAD) for very-large-scale integrated circuits (VLSI). Coverage includes the various machine learning methods used in lithography, physical design, yield prediction, post-silicon performance analysis, reliability and failure analysis, power and thermal analysis, analog design, logic synthesis, verification, and neuromorphic design. Provides up-to-date information on machine learning in VLSI CAD for device modeling, layout verifications, yield prediction, post-silicon validation, and reliability; Discusses the use of machine learning techniques in the context of analog and digital synthesis; Demonstrates how to formulate VLSI CAD objectives as machine learning problems and provides a comprehensive treatment of their efficient solutions; Discusses the tradeoff between the cost of collecting data and prediction accuracy and provides a methodology for using prior data to reduce cost of data collection in the design, testing and validation of both analog and digital VLSI designs. From the Foreword As the semiconductor industry embraces the rising swell of cognitive systems and edge intelligence, this book could serve as a harbinger and example of the osmosis that will exist between our cognitive structures and methods, on the one hand, and the hardware architectures and technologies that will support them, on the other ... As we transition from the computing era to the cognitive one, it behooves us to remember the success story of VLSI CAD and to earnestly seek the help of the invisible hand so that our future cognitive systems are used to design more powerful cognitive systems. This book is very much aligned with this on-going transition from computing to cognition, and it is with deep pleasure that I recommend it to all those who are actively engaged in this exciting transformation. Dr. Ruchir Puri, IBM Fellow, IBM Watson CTO & Chief Architect, IBM T.J. Watson Research Center.

VLSI and Hardware Implementations using Modern Machine Learning Methods

Sandeep Saini,Kusum Lata,G.R. Sinha
VLSI and Hardware Implementations using Modern Machine Learning Methods Book PDF

Author : Sandeep Saini,Kusum Lata,G.R. Sinha
Publisher : CRC Press
Page : 329 pages
File Size : 43,8 Mb
Release : 2021-12-30
Category : Technology & Engineering
ISBN : 9781000523812

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VLSI and Hardware Implementations using Modern Machine Learning Methods by Sandeep Saini,Kusum Lata,G.R. Sinha Pdf

Provides the details of state-of-the-art machine learning methods used in VLSI Design. Discusses hardware implementation and device modeling pertaining to machine learning algorithms. Explores machine learning for various VLSI architectures and reconfigurable computing. Illustrate latest techniques for device size and feature optimization. Highlight latest case studies and reviews of the methods used for hardware implementation.

Mobile Computing and Sustainable Informatics

Subarna Shakya,Robert Bestak,Ram Palanisamy,Khaled A. Kamel
Mobile Computing and Sustainable Informatics Book PDF

Author : Subarna Shakya,Robert Bestak,Ram Palanisamy,Khaled A. Kamel
Publisher : Springer Nature
Page : 875 pages
File Size : 51,5 Mb
Release : 2021-07-22
Category : Technology & Engineering
ISBN : 9789811618666

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Mobile Computing and Sustainable Informatics by Subarna Shakya,Robert Bestak,Ram Palanisamy,Khaled A. Kamel Pdf

This book gathers selected high-quality research papers presented at International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2021) organized by Pulchowk Campus, Institute of Engineering, Tribhuvan University, Nepal, during 29–30 January 2021. The book discusses recent developments in mobile communication technologies ranging from mobile edge computing devices, to personalized, embedded and sustainable applications. The book covers vital topics like mobile networks, computing models, algorithms, sustainable models and advanced informatics that supports the symbiosis of mobile computing and sustainable informatics.

Machine Learning Applications in Electronic Design Automation

Haoxing Ren,Jiang Hu
Machine Learning Applications in Electronic Design Automation Book PDF

Author : Haoxing Ren,Jiang Hu
Publisher : Springer Nature
Page : 585 pages
File Size : 50,9 Mb
Release : 2023-01-01
Category : Technology & Engineering
ISBN : 9783031130748

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Machine Learning Applications in Electronic Design Automation by Haoxing Ren,Jiang Hu Pdf

​This book serves as a single-source reference to key machine learning (ML) applications and methods in digital and analog design and verification. Experts from academia and industry cover a wide range of the latest research on ML applications in electronic design automation (EDA), including analysis and optimization of digital design, analysis and optimization of analog design, as well as functional verification, FPGA and system level designs, design for manufacturing (DFM), and design space exploration. The authors also cover key ML methods such as classical ML, deep learning models such as convolutional neural networks (CNNs), graph neural networks (GNNs), generative adversarial networks (GANs) and optimization methods such as reinforcement learning (RL) and Bayesian optimization (BO). All of these topics are valuable to chip designers and EDA developers and researchers working in digital and analog designs and verification.

Automatic Programming Applied to VLSI CAD Software: A Case Study

Dorothy E. Setliff,Rob A. Rutenbar
Automatic Programming Applied to VLSI CAD Software A Case Study Book PDF

Author : Dorothy E. Setliff,Rob A. Rutenbar
Publisher : Springer Science & Business Media
Page : 237 pages
File Size : 43,8 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461315513

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Automatic Programming Applied to VLSI CAD Software: A Case Study by Dorothy E. Setliff,Rob A. Rutenbar Pdf

This book, and the research it describes, resulted from a simple observation we made sometime in 1986. Put simply, we noticed that many VLSI design tools looked "alike". That is, at least at the overall software architecture level, the algorithms and data structures required to solve problem X looked much like those required to solve problem X'. Unfortunately, this resemblance is often of little help in actually writing the software for problem X' given the software for problem X. In the VLSI CAD world, technology changes rapidly enough that design software must continually strive to keep up. And of course, VLSI design software, and engineering design software in general, is often exquisitely sensitive to some aspects of the domain (technology) in which it operates. Modest changes in functionality have an unfortunate tendency to require substantial (and time-consuming) internal software modifications. Now, observing that large engineering software systems are technology dependent is not particularly clever. However, we believe that our approach to xiv Preface dealing with this problem took an interesting new direction. We chose to investigate the extent to which automatic programming ideas cold be used to synthesize such software systems from high-level specifications. This book is one of the results of that effort.

Opto-VLSI Devices and Circuits for Biomedical and Healthcare Applications

Ankur Kumar,Sajal Agarwal,Vikrant Varshnay,Varun Mishra,Yogesh Kumar Verma,Suman Lata Tripathi
Opto VLSI Devices and Circuits for Biomedical and Healthcare Applications Book PDF

Author : Ankur Kumar,Sajal Agarwal,Vikrant Varshnay,Varun Mishra,Yogesh Kumar Verma,Suman Lata Tripathi
Publisher : CRC Press
Page : 250 pages
File Size : 46,9 Mb
Release : 2023-09-04
Category : Technology & Engineering
ISBN : 9781000932447

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Opto-VLSI Devices and Circuits for Biomedical and Healthcare Applications by Ankur Kumar,Sajal Agarwal,Vikrant Varshnay,Varun Mishra,Yogesh Kumar Verma,Suman Lata Tripathi Pdf

The text comprehensively discusses the latest Opto-VLSI devices and circuits useful for healthcare and biomedical applications. It further emphasizes the importance of smart technologies such as artificial intelligence, machine learning, and the internet of things for the biomedical and healthcare industries. Discusses advanced concepts in the field of electro-optics devices for medical applications. Presents optimization techniques including logical effort, particle swarm optimization and genetic algorithm to design Opto-VLSI devices and circuits. Showcases the concepts of artificial intelligence and machine learning for smart medical devices and data auto-collection for distance treatment. Covers advanced Opto-VLSI devices including a field-effect transistor and optical sensors, spintronic and photonic devices. Highlights application of flexible electronics in health monitoring and artificial intelligence integration for better medical devices. The text presents the advances in the fields of optics and VLSI and their applicability in diverse areas including biomedical engineering and the healthcare sector. It covers important topics such as FET biosensors, optical biosensors and advanced optical materials. It further showcases the significance of smart technologies such as artificial intelligence, machine learning and the internet of things for the biomedical and healthcare industries. It will serve as an ideal design book for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering and biomedical engineering.

VLSI-SoC: Design Trends

Andrea Calimera,Pierre-Emmanuel Gaillardon,Kunal Korgaonkar,Shahar Kvatinsky,Ricardo Reis
VLSI SoC Design Trends Book PDF

Author : Andrea Calimera,Pierre-Emmanuel Gaillardon,Kunal Korgaonkar,Shahar Kvatinsky,Ricardo Reis
Publisher : Springer Nature
Page : 372 pages
File Size : 51,9 Mb
Release : 2021-07-14
Category : Computers
ISBN : 9783030816414

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VLSI-SoC: Design Trends by Andrea Calimera,Pierre-Emmanuel Gaillardon,Kunal Korgaonkar,Shahar Kvatinsky,Ricardo Reis Pdf

This book contains extended and revised versions of the best papers presented at the 28th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2020, held in Salt Lake City, UT, USA, in October 2020.* The 16 full papers included in this volume were carefully reviewed and selected from the 38 papers (out of 74 submissions) presented at the conference. The papers discuss the latest academic and industrial results and developments as well as future trends in the field of System-on-Chip (SoC) design, considering the challenges of nano-scale, state-of-the-art and emerging manufacturing technologies. In particular they address cutting-edge research fields like low-power design of RF, analog and mixed-signal circuits, EDA tools for the synthesis and verification of heterogenous SoCs, accelerators for cryptography and deep learning and on-chip Interconnection system, reliability and testing, and integration of 3D-ICs. *The conference was held virtually.

Machine Learning in Modeling and Simulation

Timon Rabczuk,Klaus-Jürgen Bathe
Machine Learning in Modeling and Simulation Book PDF

Author : Timon Rabczuk,Klaus-Jürgen Bathe
Publisher : Springer Nature
Page : 456 pages
File Size : 46,9 Mb
Release : 2023-11-04
Category : Technology & Engineering
ISBN : 9783031366444

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Machine Learning in Modeling and Simulation by Timon Rabczuk,Klaus-Jürgen Bathe Pdf

Machine learning (ML) approaches have been extensively and successfully employed in various areas, like in economics, medical predictions, face recognition, credit card fraud detection, and spam filtering. There is clearly also the potential that ML techniques developed in Engineering and the Sciences will drastically increase the possibilities of analysis and accelerate the design to analysis time. With the use of ML techniques, coupled to conventional methods like finite element and digital twin technologies, new avenues of modeling and simulation can be opened but the potential of these ML techniques needs to still be fully harvested, with the methods developed and enhanced. The objective of this book is to provide an overview of ML in Engineering and the Sciences presenting fundamental theoretical ingredients with a focus on the next generation of computer modeling in Engineering and the Sciences in which the exciting aspects of machine learning are incorporated. The book is of value to any researcher and practitioner interested in research or applications of ML in the areas of scientific modeling and computer aided engineering.

An Artificial Intelligence Approach to VLSI Routing

R. Joobbani
An Artificial Intelligence Approach to VLSI Routing Book PDF

Author : R. Joobbani
Publisher : Springer Science & Business Media
Page : 174 pages
File Size : 40,9 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461325550

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An Artificial Intelligence Approach to VLSI Routing by R. Joobbani Pdf

Routing of VLSI chips is an important, time consuming, and difficult problem. The difficulty of the problem is attributed to the large number of often conflicting factors that affect the routing quality. Traditional techniques have approached routing by ignoring some of these factors and imposing unnecessary constraints in order to make routing tractable. In addition to the imposition of these restrictions, which simplify the problems to a degree but at the same time reduce the routing quality, traditional approaches use brute force. They often transform the problem into mathematical or graph problems and completely ignore the specific knowledge about the routing task that can greatly help the solution. This thesis overcomes some of the above problems and presents a system that performs routing close to what human designers do. In other words it heavily capitalizes on the knowledge of human expertise in this area, it does not impose unnecessary constraints, it considers all the different factors that affect the routing quality, and most importantly it allows constant user interaction throughout the routing process. To achieve the above, this thesis presents background about some representative techniques for routing and summarizes their characteristics. It then studies in detail the different factors (such as minimum area, number of vias, wire length, etc.) that affect the routing quality, and the different criteria (such as vertical/horizontal constraint graph, merging, minimal rectilinear Steiner tree, etc.) that can be used to optimize these factors.

Artificial Intelligence in Engineering Design

Christopher Tong,Duvvuru Sriram
Artificial Intelligence in Engineering Design Book PDF

Author : Christopher Tong,Duvvuru Sriram
Publisher : Elsevier
Page : 388 pages
File Size : 48,6 Mb
Release : 2012-12-02
Category : Computers
ISBN : 9780080926025

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Artificial Intelligence in Engineering Design by Christopher Tong,Duvvuru Sriram Pdf

Artificial Intelligence in Engineering Design is a three volume edited collection of key papers from the field of artificial intelligence and design, aimed at providing a description of the field, and focusing on how ideas and methods from artifical intelligence can help engineers in the design of physical artifacts and processes. The book surveys a wide variety of applications in the areas of civil, mechanical, chemical, VLSI, electrical, and computer engineering. The contributors are from leading academic computer-aided design centers as well as from industry.

Response Feature Technology for High-Frequency Electronics. Optimization, Modeling, and Design Automation

Anna Pietrenko-Dabrowska,Slawomir Koziel
Response Feature Technology for High Frequency Electronics Optimization Modeling and Design Automation Book PDF

Author : Anna Pietrenko-Dabrowska,Slawomir Koziel
Publisher : Springer Nature
Page : 604 pages
File Size : 47,5 Mb
Release : 2023-10-16
Category : Technology & Engineering
ISBN : 9783031438455

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Response Feature Technology for High-Frequency Electronics. Optimization, Modeling, and Design Automation by Anna Pietrenko-Dabrowska,Slawomir Koziel Pdf

This book discusses response feature technology and its applications to modeling, optimization, and computer-aided design of high-frequency structures including antenna and microwave components. By exploring the specific structure of the system outputs, feature-based approaches facilitate simulation-driven design procedures, both in terms of improving their computational efficiency and reliability. These benefits are associated with the weakly nonlinear relationship between feature point coordinates and design variables, which—in the context of optimization—leads to inherent regularization of the objective functions. The book provides an overview of the subject, a definition and extraction of characteristic points, and feature-based design problem reformulation. It also outlines a number of numerical algorithms developed to handle local, global, and multi-criterial design, surrogate modeling, as well as uncertainty quantification. The discussed frameworks are extensively illustrated using examples of real microwave and antenna structures, along with numerous design cases. Introductory material on simulation-driven design, numerical optimization, as well as behavioral and physics-based surrogate modeling is also included. The book will be useful for readers working in the area of high-frequency electronics, including microwave engineering, antenna design, microwave photonics, magnetism and especially those who utilize electromagnetic (EM) simulation models in their daily routines.

Artificial Intelligence in Design '91

J. S. Gero
Artificial Intelligence in Design 91 Book PDF

Author : J. S. Gero
Publisher : Butterworth-Heinemann
Page : 952 pages
File Size : 41,7 Mb
Release : 2014-05-23
Category : Computers
ISBN : 9781483164809

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Artificial Intelligence in Design '91 by J. S. Gero Pdf

Artificial Intelligence in Design '91 is a collection of 47 papers from the First International Conference on Artificial Intelligence in Design held at Edinburgh in June 1991. The papers in this book are grouped into 13 headings, starting with a background of AI design systems and to which extent AI that results from being used as planning tool be applied to quality-oriented design processes in architecture. A constraint-driven approach to object-oriented design is also shown on real-world objects. The use of CADSYN in the structural design of buildings is examined, along with design-dependent knowledge and design-independent knowledge. Discussions on empowering designers with integrated design environments are given whereby design objects may be retrieved from catalogues without requiring users to form queries. Mention is given to automated adjustment of parameter values frequently used in computer routine applications. The book also introduces the Computer Aided Design (CAD) as applied to architecture. Design representation using data models, non-monotonic reasoning in design, and the cognitive aspects of design using empirical studies are discussed. Topics of the industrial applications of AI in design, such as the needed steps to develop a successful AI-based tool, and a review of the Castlemain Project and telecommunication distribution networks follow. This book is suitable for programmers, computer science students, and architects and engineers who use computers in their line of work.

Machine Learning-based Design and Optimization of High-Speed Circuits

Vazgen Melikyan
Machine Learning based Design and Optimization of High Speed Circuits Book PDF

Author : Vazgen Melikyan
Publisher : Springer Nature
Page : 351 pages
File Size : 55,5 Mb
Release : 2024-01-31
Category : Technology & Engineering
ISBN : 9783031507144

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Machine Learning-based Design and Optimization of High-Speed Circuits by Vazgen Melikyan Pdf

This book describes machine learning-based new principles, methods of design and optimization of high-speed integrated circuits, included in one electronic system, which can exchange information between each other up to 128/256/512 Gbps speed. The efficiency of methods has been proven and is described on the examples of practical designs. This will enable readers to use them in similar electronic system designs. The author demonstrates newly developed principles and methods to accelerate communication between ICs, working in non-standard operating conditions, considering signal deviation compensation with linearity self-calibration. The observed circuit types also include but are not limited to mixed-signal, high performance heterogeneous integrated circuits as well as digital cores.

Hardware Security Training, Hands-on!

Mark Tehranipoor,N. Nalla Anandakumar,Farimah Farahmandi
Hardware Security Training Hands on Book PDF

Author : Mark Tehranipoor,N. Nalla Anandakumar,Farimah Farahmandi
Publisher : Springer Nature
Page : 331 pages
File Size : 46,8 Mb
Release : 2023-06-29
Category : Technology & Engineering
ISBN : 9783031310348

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Hardware Security Training, Hands-on! by Mark Tehranipoor,N. Nalla Anandakumar,Farimah Farahmandi Pdf

This is the first book dedicated to hands-on hardware security training. It includes a number of modules to demonstrate attacks on hardware devices and to assess the efficacy of the countermeasure techniques. This book aims to provide a holistic hands-on training to upper-level undergraduate engineering students, graduate students, security researchers, practitioners, and industry professionals, including design engineers, security engineers, system architects, and chief security officers. All the hands-on experiments presented in this book can be implemented on readily available Field Programmable Gate Array (FPGA) development boards, making it easy for academic and industry professionals to replicate the modules at low cost. This book enables readers to gain experiences on side-channel attacks, fault-injection attacks, optical probing attack, PUF, TRNGs, odometer, hardware Trojan insertion and detection, logic locking insertion and assessment, and more.