Computing with Memory for Energy-Efficient Robust Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 1461477980
Total Pages : 210 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Computing with Memory for Energy-Efficient Robust Systems by : Somnath Paul

Download or read book Computing with Memory for Energy-Efficient Robust Systems written by Somnath Paul and published by Springer Science & Business Media. This book was released on 2013-09-07 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book analyzes energy and reliability as major challenges faced by designers of computing frameworks in the nanometer technology regime. The authors describe the existing solutions to address these challenges and then reveal a new reconfigurable computing platform, which leverages high-density nanoscale memory for both data storage and computation to maximize the energy-efficiency and reliability. The energy and reliability benefits of this new paradigm are illustrated and the design challenges are discussed. Various hardware and software aspects of this exciting computing paradigm are described, particularly with respect to hardware-software co-designed frameworks, where the hardware unit can be reconfigured to mimic diverse application behavior. Finally, the energy-efficiency of the paradigm described is compared with other, well-known reconfigurable computing platforms.

Your Genes, Your Choices

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Publisher :
ISBN 13 : 9780871686367
Total Pages : 96 pages
Book Rating : 4.6/5 (863 download)

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Book Synopsis Your Genes, Your Choices by : Catherine Baker

Download or read book Your Genes, Your Choices written by Catherine Baker and published by . This book was released on 1996 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: Program discusses the Human Genome Project, the science behind it, and the ethical, legal and social issues raised by the project.

Energy Efficient High Performance Processors

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Publisher : Springer
ISBN 13 : 9811085544
Total Pages : 176 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Energy Efficient High Performance Processors by : Jawad Haj-Yahya

Download or read book Energy Efficient High Performance Processors written by Jawad Haj-Yahya and published by Springer. This book was released on 2018-03-22 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores energy efficiency techniques for high-performance computing (HPC) systems using power-management methods. Adopting a step-by-step approach, it describes power-management flows, algorithms and mechanism that are employed in modern processors such as Intel Sandy Bridge, Haswell, Skylake and other architectures (e.g. ARM). Further, it includes practical examples and recent studies demonstrating how modem processors dynamically manage wide power ranges, from a few milliwatts in the lowest idle power state, to tens of watts in turbo state. Moreover, the book explains how thermal and power deliveries are managed in the context this huge power range. The book also discusses the different metrics for energy efficiency, presents several methods and applications of the power and energy estimation, and shows how by using innovative power estimation methods and new algorithms modern processors are able to optimize metrics such as power, energy, and performance. Different power estimation tools are presented, including tools that break down the power consumption of modern processors at sub-processor core/thread granularity. The book also investigates software, firmware and hardware coordination methods of reducing power consumption, for example a compiler-assisted power management method to overcome power excursions. Lastly, it examines firmware algorithms for dynamic cache resizing and dynamic voltage and frequency scaling (DVFS) for memory sub-systems.

Dependable Embedded Systems

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Publisher : Springer Nature
ISBN 13 : 303052017X
Total Pages : 606 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Dependable Embedded Systems by : Jörg Henkel

Download or read book Dependable Embedded Systems written by Jörg Henkel and published by Springer Nature. This book was released on 2020-12-09 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Open Access book introduces readers to many new techniques for enhancing and optimizing reliability in embedded systems, which have emerged particularly within the last five years. This book introduces the most prominent reliability concerns from today’s points of view and roughly recapitulates the progress in the community so far. Unlike other books that focus on a single abstraction level such circuit level or system level alone, the focus of this book is to deal with the different reliability challenges across different levels starting from the physical level all the way to the system level (cross-layer approaches). The book aims at demonstrating how new hardware/software co-design solution can be proposed to ef-fectively mitigate reliability degradation such as transistor aging, processor variation, temperature effects, soft errors, etc. Provides readers with latest insights into novel, cross-layer methods and models with respect to dependability of embedded systems; Describes cross-layer approaches that can leverage reliability through techniques that are pro-actively designed with respect to techniques at other layers; Explains run-time adaptation and concepts/means of self-organization, in order to achieve error resiliency in complex, future many core systems.

Energy Efficiency and Robustness of Advanced Machine Learning Architectures

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Publisher : CRC Press
ISBN 13 : 1040165036
Total Pages : 361 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Energy Efficiency and Robustness of Advanced Machine Learning Architectures by : Alberto Marchisio

Download or read book Energy Efficiency and Robustness of Advanced Machine Learning Architectures written by Alberto Marchisio and published by CRC Press. This book was released on 2024-11-14 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning (ML) algorithms have shown a high level of accuracy, and applications are widely used in many systems and platforms. However, developing efficient ML-based systems requires addressing three problems: energy-efficiency, robustness, and techniques that typically focus on optimizing for a single objective/have a limited set of goals. This book tackles these challenges by exploiting the unique features of advanced ML models and investigates cross-layer concepts and techniques to engage both hardware and software-level methods to build robust and energy-efficient architectures for these advanced ML networks. More specifically, this book improves the energy efficiency of complex models like CapsNets, through a specialized flow of hardware-level designs and software-level optimizations exploiting the application-driven knowledge of these systems and the error tolerance through approximations and quantization. This book also improves the robustness of ML models, in particular for SNNs executed on neuromorphic hardware, due to their inherent cost-effective features. This book integrates multiple optimization objectives into specialized frameworks for jointly optimizing the robustness and energy efficiency of these systems. This is an important resource for students and researchers of computer and electrical engineering who are interested in developing energy efficient and robust ML.

Resistive Random Access Memory (RRAM)

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Publisher : Springer Nature
ISBN 13 : 3031020308
Total Pages : 71 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Resistive Random Access Memory (RRAM) by : Shimeng Yu

Download or read book Resistive Random Access Memory (RRAM) written by Shimeng Yu and published by Springer Nature. This book was released on 2022-06-01 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: RRAM technology has made significant progress in the past decade as a competitive candidate for the next generation non-volatile memory (NVM). This lecture is a comprehensive tutorial of metal oxide-based RRAM technology from device fabrication to array architecture design. State-of-the-art RRAM device performances, characterization, and modeling techniques are summarized, and the design considerations of the RRAM integration to large-scale array with peripheral circuits are discussed. Chapter 2 introduces the RRAM device fabrication techniques and methods to eliminate the forming process, and will show its scalability down to sub-10 nm regime. Then the device performances such as programming speed, variability control, and multi-level operation are presented, and finally the reliability issues such as cycling endurance and data retention are discussed. Chapter 3 discusses the RRAM physical mechanism, and the materials characterization techniques to observe the conductive filaments and the electrical characterization techniques to study the electronic conduction processes. It also presents the numerical device modeling techniques for simulating the evolution of the conductive filaments as well as the compact device modeling techniques for circuit-level design. Chapter 4 discusses the two common RRAM array architectures for large-scale integration: one-transistor-one-resistor (1T1R) and cross-point architecture with selector. The write/read schemes are presented and the peripheral circuitry design considerations are discussed. Finally, a 3D integration approach is introduced for building ultra-high density RRAM array. Chapter 5 is a brief summary and will give an outlook for RRAM’s potential novel applications beyond the NVM applications.

The Internet of Things and Big Data Analytics

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Publisher : CRC Press
ISBN 13 : 1000057399
Total Pages : 341 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis The Internet of Things and Big Data Analytics by : Pethuru Raj

Download or read book The Internet of Things and Big Data Analytics written by Pethuru Raj and published by CRC Press. This book was released on 2020-06-07 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprehensively conveys the theoretical and practical aspects of IoT and big data analytics with the solid contributions from practitioners as well as academicians. This book examines and expounds the unique capabilities of the big data analytics platforms in capturing, cleansing and crunching IoT device/sensor data in order to extricate actionable insights. A number of experimental case studies and real-world scenarios are incorporated in this book in order to instigate our book readers. This book Analyzes current research and development in the domains of IoT and big data analytics Gives an overview of latest trends and transitions happening in the IoT data analytics space Illustrates the various platforms, processes, patterns, and practices for simplifying and streamlining IoT data analytics The Internet of Things and Big Data Analytics: Integrated Platforms and Industry Use Cases examines and accentuates how the multiple challenges at the cusp of IoT and big data can be fully met. The device ecosystem is growing steadily. It is forecast that there will be billions of connected devices in the years to come. When these IoT devices, resource-constrained as well as resource-intensive, interact with one another locally and remotely, the amount of multi-structured data generated, collected, and stored is bound to grow exponentially. Another prominent trend is the integration of IoT devices with cloud-based applications, services, infrastructures, middleware solutions, and databases. This book examines the pioneering technologies and tools emerging and evolving in order to collect, pre-process, store, process and analyze data heaps in order to disentangle actionable insights.

Near Threshold Computing

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Publisher : Springer
ISBN 13 : 3319233890
Total Pages : 105 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Near Threshold Computing by : Michael Hübner

Download or read book Near Threshold Computing written by Michael Hübner and published by Springer. This book was released on 2015-11-14 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores near-threshold computing (NTC), a design-space using techniques to run digital chips (processors) near the lowest possible voltage. Readers will be enabled with specific techniques to design chips that are extremely robust; tolerating variability and resilient against errors. Variability-aware voltage and frequency allocation schemes will be presented that will provide performance guarantees, when moving toward near-threshold manycore chips. · Provides an introduction to near-threshold computing, enabling reader with a variety of tools to face the challenges of the power/utilization wall; · Demonstrates how to design efficient voltage regulation, so that each region of the chip can operate at the most efficient voltage and frequency point; · Investigates how performance guarantees can be ensured when moving towards NTC manycores through variability-aware voltage and frequency allocation schemes.

Deep In-memory Architectures for Machine Learning

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Publisher : Springer Nature
ISBN 13 : 3030359719
Total Pages : 181 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Deep In-memory Architectures for Machine Learning by : Mingu Kang

Download or read book Deep In-memory Architectures for Machine Learning written by Mingu Kang and published by Springer Nature. This book was released on 2020-01-30 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the recent innovation of deep in-memory architectures for realizing AI systems that operate at the edge of energy-latency-accuracy trade-offs. From first principles to lab prototypes, this book provides a comprehensive view of this emerging topic for both the practicing engineer in industry and the researcher in academia. The book is a journey into the exciting world of AI systems in hardware.

On-Chip Training NPU - Algorithm, Architecture and SoC Design

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Publisher : Springer Nature
ISBN 13 : 3031342372
Total Pages : 249 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis On-Chip Training NPU - Algorithm, Architecture and SoC Design by : Donghyeon Han

Download or read book On-Chip Training NPU - Algorithm, Architecture and SoC Design written by Donghyeon Han and published by Springer Nature. This book was released on 2023-08-28 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlike most available sources that focus on deep neural network (DNN) inference, this book provides readers with a single-source reference on the needs, requirements, and challenges involved with on-device, DNN training semiconductor and SoC design. The authors include coverage of the trends and history surrounding the development of on-device DNN training, as well as on-device training semiconductors and SoC design examples to facilitate understanding.

Distributed Sensor Networks

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Publisher : CRC Press
ISBN 13 : 1439870780
Total Pages : 1142 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Distributed Sensor Networks by : S. Sitharama Iyengar

Download or read book Distributed Sensor Networks written by S. Sitharama Iyengar and published by CRC Press. This book was released on 2004-12-29 with total page 1142 pages. Available in PDF, EPUB and Kindle. Book excerpt: The vision of researchers to create smart environments through the deployment of thousands of sensors, each with a short range wireless communications channel and capable of detecting ambient conditions such as temperature, movement, sound, light, or the presence of certain objects is becoming a reality. With the emergence of high-speed networks an

Green Networking and Communications

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Publisher : CRC Press
ISBN 13 : 1466568747
Total Pages : 490 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Green Networking and Communications by : Shafiullah Khan

Download or read book Green Networking and Communications written by Shafiullah Khan and published by CRC Press. This book was released on 2013-10-29 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the information and communication technology (ICT) industry accounted for only 2 percent of global greenhouse gas emissions in 2007, the explosive increase in data traffic brought about by a rapidly growing user base of more than a billion wireless subscribers is expected to nearly double that number by 2020. It is clear that now is the time to rethink how we design and build our networks. Green Networking and Communications: ICT for Sustainability brings together leading academic and industrial researchers from around the world to discuss emerging developments in energy-efficient networking and communications. It covers the spectrum of research subjects, including methodologies and architectures for energy efficiency, energy-efficient protocols and networks, energy management, smart grid communications, and communication technologies for green solutions. Examines foraging-inspired radio-communication energy management for green multi-radio networks Considers a cross-layer approach to the design of energy-efficient wireless access networks Investigates the interplay between cooperative device-to-device communications and green LTE cellular networks Considers smart grid energy procurement for green LTE cellular networks Details smart grid networking protocols and standards Considering the spectrum of energy-efficient network components and approaches for reducing power consumption, the book is organized into three sections: Energy Efficiency and Management in Wireless Networks, Cellular Networks, and Smart Grids. It addresses many open research challenges regarding energy efficiency for IT and for wireless sensor networks, including mobile and wireless access networks, broadband access networks, home networks, vehicular networks, intelligent future wireless networks, and smart grids. It also examines emerging standards for energy-efficient protocols. Since ICT technologies touch on nearly all sectors of the economy, the concepts presented in this text offer you the opportunity to make a substantial contribution to the reduction of global greenhouse gas emissions.

Design and Applications of Emerging Computer Systems

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Publisher : Springer Nature
ISBN 13 : 3031424786
Total Pages : 745 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Design and Applications of Emerging Computer Systems by : Weiqiang Liu

Download or read book Design and Applications of Emerging Computer Systems written by Weiqiang Liu and published by Springer Nature. This book was released on with total page 745 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Embedded Computer Systems: Architectures, Modeling, and Simulation

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Publisher : Springer Nature
ISBN 13 : 3031460774
Total Pages : 504 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Embedded Computer Systems: Architectures, Modeling, and Simulation by : Cristina Silvano

Download or read book Embedded Computer Systems: Architectures, Modeling, and Simulation written by Cristina Silvano and published by Springer Nature. This book was released on 2023-12-08 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 22st International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2021, which took place in July 2022 in Samos, Greece. The 11 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 45 submissions. The conference covers a wide range of embedded systems design aspects, including machine learning accelerators, and power management and programmable dataflow systems.

Energy Efficient and Reliable Embedded Nanoscale SRAM Design

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Author :
Publisher : CRC Press
ISBN 13 : 1000985156
Total Pages : 213 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Energy Efficient and Reliable Embedded Nanoscale SRAM Design by : Bhupendra Singh Reniwal

Download or read book Energy Efficient and Reliable Embedded Nanoscale SRAM Design written by Bhupendra Singh Reniwal and published by CRC Press. This book was released on 2023-11-30 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference text covers a wide spectrum for designing robust embedded memory and peripheral circuitry. It will serve as a useful text for senior undergraduate and graduate students and professionals in areas including electronics and communications engineering, electrical engineering, mechanical engineering, and aerospace engineering. Discusses low-power design methodologies for static random-access memory (SRAM) Covers radiation-hardened SRAM design for aerospace applications Focuses on various reliability issues that are faced by submicron technologies Exhibits more stable memory topologies Nanoscale technologies unveiled significant challenges to the design of energy- efficient and reliable SRAMs. This reference text investigates the impact of process variation, leakage, aging, soft errors and related reliability issues in embedded memory and periphery circuitry. The text adopts a unique way to explain the SRAM bitcell, array design, and analysis of its design parameters to meet the sub-nano-regime challenges for complementary metal-oxide semiconductor devices. It comprehensively covers low- power-design methodologies for SRAM, exhibits more stable memory topologies, and radiation-hardened SRAM design for aerospace applications. Every chapter includes a glossary, highlights, a question bank, and problems. The text will serve as a useful text for senior undergraduate students, graduate students, and professionals in areas including electronics and communications engineering, electrical engineering, mechanical engineering, and aerospace engineering. Discussing comprehensive studies of variability-induced failure mechanism in sense amplifiers and power, delay, and read yield trade-offs, this reference text will serve as a useful text for senior undergraduate, graduate students, and professionals in areas including electronics and communications engineering, electrical engineering, mechanical engineering, and aerospace engineering. It covers the development of robust SRAMs, well suited for low-power multi-core processors for wireless sensors node, battery-operated portable devices, personal health care assistants, and smart Internet of Things applications.

Physical neuromorphic computing and its industrial applications

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Publisher : Frontiers Media SA
ISBN 13 : 2832531288
Total Pages : 163 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Physical neuromorphic computing and its industrial applications by : Toshiyuki Yamane

Download or read book Physical neuromorphic computing and its industrial applications written by Toshiyuki Yamane and published by Frontiers Media SA. This book was released on 2023-08-02 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Augmentation of Brain Function: Facts, Fiction and Controversy

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Publisher : Frontiers Media SA
ISBN 13 : 2889456145
Total Pages : 666 pages
Book Rating : 4.8/5 (894 download)

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Book Synopsis Augmentation of Brain Function: Facts, Fiction and Controversy by : Mikhail Lebedev

Download or read book Augmentation of Brain Function: Facts, Fiction and Controversy written by Mikhail Lebedev and published by Frontiers Media SA. This book was released on 2018-09-14 with total page 666 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume I, entitled “Augmentation of Brain Functions: Brain-Machine Interfaces”, is a collection of articles on neuroprosthetic technologies that utilize brain-machine interfaces (BMIs). BMIs strive to augment the brain by linking neural activity, recorded invasively or noninvasively, to external devices, such as arm prostheses, exoskeletons that enable bipedal walking, means of communication and technologies that augment attention. In addition to many practical applications, BMIs provide useful research tools for basic science. Several articles cover challenges and controversies in this rapidly developing field, such as ways to improve information transfer rate. BMIs can be applied to the awake state of the brain and to the sleep state, as well. BMIs can augment action planning and decision making. Importantly, BMI operations evoke brain plasticity, which can have long-lasting effects. Advanced neural decoding algorithms that utilize optimal feedback controllers are key to the BMI performance. BMI approach can be combined with the other augmentation methods; such systems are called hybrid BMIs. Overall, it appears that BMI will lead to many powerful and practical brain-augmenting technologies in the future.