More than Moore Technologies for Next Generation Computer Design PDF Download

Author: Rasit O. Topaloglu
Publisher: Springer
ISBN: 1493921630
Category : Technology & Engineering
Languages : en
Pages : 225

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Book Description
This book provides a comprehensive overview of key technologies being used to address challenges raised by continued device scaling and the extending gap between memory and central processing unit performance. Authors discuss in detail what are known commonly as “More than Moore” (MtM), technologies, which add value to devices by incorporating functionalities that do not necessarily scale according to “Moore's Law”. Coverage focuses on three key technologies needed for efficient power management and cost per performance: novel memories, 3D integration and photonic on-chip interconnect.

Author:
Publisher: Academic Press
ISBN: 0128187557
Category : Computers
Languages : en
Pages : 148

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Book Description
Advances in Computers, Volume 118, the latest volume in this innovative series published since 1960, presents detailed coverage of new advancements in computer hardware, software, theory, design and applications. Chapters in this updated release include Introduction to non-volatile memory technologies, The emerging phase-change memory, Phase-change memory architectures, Inter-line level schemes for handling hard errors in PCMs, Handling hard errors in PCMs by using intra-line level schemes, and Addressing issues with MLC Phase-change Memory. - Gives a comprehensive overlook of new memory technologies, including PCM - Provides reliability features with an in-depth discussion of physical mechanisms that are currently limiting PCM capabilities - Covers the work of well-known authors and researchers in the field - Includes volumes that are devoted to single themes or subfields of computer science

Author: Nikhil Rangarajan
Publisher: Springer Nature
ISBN: 3030857921
Category : Technology & Engineering
Languages : en
Pages : 271

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Book Description
This book provides a comprehensive coverage of hardware security concepts, derived from the unique characteristics of emerging logic and memory devices and related architectures. The primary focus is on mapping device-specific properties, such as multi-functionality, runtime polymorphism, intrinsic entropy, nonlinearity, ease of heterogeneous integration, and tamper-resilience to the corresponding security primitives that they help realize, such as static and dynamic camouflaging, true random number generation, physically unclonable functions, secure heterogeneous and large-scale systems, and tamper-proof memories. The authors discuss several device technologies offering the desired properties (including spintronics switches, memristors, silicon nanowire transistors and ferroelectric devices) for such security primitives and schemes, while also providing a detailed case study for each of the outlined security applications. Overall, the book gives a holistic perspective of how the promising properties found in emerging devices, which are not readily afforded by traditional CMOS devices and systems, can help advance the field of hardware security.

Author: Rasit O. Topaloglu
Publisher: Springer
ISBN: 3319903853
Category : Technology & Engineering
Languages : en
Pages : 279

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Book Description
This book describes the bottleneck faced soon by designers of traditional CMOS devices, due to device scaling, power and energy consumption, and variability limitations. This book aims at bridging the gap between device technology and architecture/system design. Readers will learn about challenges and opportunities presented by “beyond-CMOS devices” and gain insight into how these might be leveraged to build energy-efficient electronic systems.

Author: Christopher Taudt
Publisher: Springer Nature
ISBN: 3658359269
Category : Science
Languages : en
Pages : 180

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Book Description
This Open Access book discusses an extension to low-coherence interferometry by dispersion-encoding. The approach is theoretically designed and implemented for applications such as surface profilometry, polymeric cross-linking estimation and the determination of thin-film layer thicknesses. During a characterization, it was shown that an axial measurement range of 79.91 μm with an axial resolution of 0.1 nm is achievable. Simultaneously, profiles of up to 1.5 mm in length were obtained in a scan-free manner. This marked a significant improvement in relation to the state-of-the-art in terms of dynamic range. Also, the axial and lateral measurement range were decoupled partially while functional parameters such as surface roughness were estimated. The characterization of the degree of polymeric cross-linking was performed as a function of the refractive index. It was acquired in a spatially-resolved manner with a resolution of 3.36 x 10-5. This was achieved by the development of a novel mathematical analysis approach.

Author: Sundarapandian Vaidyanathan
Publisher: Springer
ISBN: 3319517244
Category : Technology & Engineering
Languages : en
Pages : 513

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Book Description
This book reports on the latest advances in and applications of memristors, memristive devices and systems. It gathers 20 contributed chapters by subject experts, including pioneers in the field such as Leon Chua (UC Berkeley, USA) and R.S. Williams (HP Labs, USA), who are specialized in the various topics addressed in this book, and covers broad areas of memristors and memristive devices such as: memristor emulators, oscillators, chaotic and hyperchaotic memristive systems, control of memristive systems, memristor-based min-max circuits, canonic memristors, memristive-based neuromorphic applications, implementation of memristor-based chaotic oscillators, inverse memristors, linear memristor devices, delayed memristive systems, flux-controlled memristive emulators, etc. Throughout the book, special emphasis is given to papers offering practical solutions and design, modeling, and implementation insights to address current research problems in memristors, memristive devices and systems. As such, it offers a valuable reference book on memristors and memristive devices for graduate students and researchers with a basic knowledge of electrical and control systems engineering.

Author: Yong Dou
Publisher: Springer
ISBN: 331967952X
Category : Computers
Languages : en
Pages : 138

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Book Description
This book constitutes the proceedings of the 12th International Symposium on Advanced Parallel Processing Technologies, APPT 2017, held in Santiago de Compostela, Spain, in August 2017.The 11 regular papers presented in this volume were carefully reviewed and selected from 18 submissions. They deal with the recent advances in big data processing; parallel architectures and systems; parallel software; parallel algorithms and artificial intelligence applications; and distributed and cloud computing.

Author: Fabio Gadducci
Publisher: Springer
ISBN: 3319472860
Category : Computers
Languages : en
Pages : 334

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Book Description
This volume constitutes the refereed post-conference proceedings of the Third International Conference on the History and Philosophy of Computing, held in Pisa, Italy in October 2015. The 18 full papers included in this volume were carefully reviewed and selected from the 30 papers presented at the conference. They cover topics ranging from the world history of computing to the role of computing in the humanities and the arts.

Author: André Inácio Reis
Publisher: Springer
ISBN: 3319672959
Category : Technology & Engineering
Languages : en
Pages : 236

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Book Description
This book provides a single-source reference to the state-of-the-art in logic synthesis. Readers will benefit from the authors’ expert perspectives on new technologies and logic synthesis, new data structures, big data and logic synthesis, and convergent logic synthesis. The authors describe techniques that will enable readers to take advantage of recent advances in big data techniques and frameworks in order to have better logic synthesis algorithms.

Author: Hantao Huang
Publisher: Springer
ISBN: 9811333238
Category : Technology & Engineering
Languages : en
Pages : 157

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Book Description
This book presents the latest techniques for machine learning based data analytics on IoT edge devices. A comprehensive literature review on neural network compression and machine learning accelerator is presented from both algorithm level optimization and hardware architecture optimization. Coverage focuses on shallow and deep neural network with real applications on smart buildings. The authors also discuss hardware architecture design with coverage focusing on both CMOS based computing systems and the new emerging Resistive Random-Access Memory (RRAM) based systems. Detailed case studies such as indoor positioning, energy management and intrusion detection are also presented for smart buildings.