Computing With Memory For Energy Efficient Robust Systems

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Computing with Memory for Energy-Efficient Robust Systems

Author : Somnath Paul,Swarup Bhunia
Publisher : Springer Science & Business Media
Page : 210 pages
File Size : 41,5 Mb
Release : 2013-09-07
Category : Technology & Engineering
ISBN : 9781461477983

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Computing with Memory for Energy-Efficient Robust Systems by Somnath Paul,Swarup Bhunia Pdf

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.

Energy Efficient High Performance Processors

Author : Jawad Haj-Yahya,Avi Mendelson,Yosi Ben Asher,Anupam Chattopadhyay
Publisher : Springer
Page : 165 pages
File Size : 41,5 Mb
Release : 2018-03-22
Category : Technology & Engineering
ISBN : 9789811085543

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Energy Efficient High Performance Processors by Jawad Haj-Yahya,Avi Mendelson,Yosi Ben Asher,Anupam Chattopadhyay Pdf

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.

Energy-Efficient Distributed Computing Systems

Author : Albert Y. Zomaya,Young Choon Lee
Publisher : John Wiley & Sons
Page : 605 pages
File Size : 41,9 Mb
Release : 2012-07-26
Category : Computers
ISBN : 9781118342008

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Energy-Efficient Distributed Computing Systems by Albert Y. Zomaya,Young Choon Lee Pdf

The energy consumption issue in distributed computing systems raises various monetary, environmental and system performance concerns. Electricity consumption in the US doubled from 2000 to 2005. From a financial and environmental standpoint, reducing the consumption of electricity is important, yet these reforms must not lead to performance degradation of the computing systems. These contradicting constraints create a suite of complex problems that need to be resolved in order to lead to 'greener' distributed computing systems. This book brings together a group of outstanding researchers that investigate the different facets of green and energy efficient distributed computing. Key features: One of the first books of its kind Features latest research findings on emerging topics by well-known scientists Valuable research for grad students, postdocs, and researchers Research will greatly feed into other technologies and application domains

The Internet of Things and Big Data Analytics

Author : Pethuru Raj,T Poongodi,Balamurugan Balusamy,Manju Khari
Publisher : CRC Press
Page : 328 pages
File Size : 51,5 Mb
Release : 2020-06-07
Category : Computers
ISBN : 9781000057393

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The Internet of Things and Big Data Analytics by Pethuru Raj,T Poongodi,Balamurugan Balusamy,Manju Khari Pdf

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.

Energy-Efficient High Performance Computing

Author : James H. Laros III,Kevin Pedretti,Suzanne M. Kelly,Wei Shu,Kurt Ferreira,John Van Dyke,Courtenay Vaughan
Publisher : Springer Science & Business Media
Page : 67 pages
File Size : 44,8 Mb
Release : 2012-09-04
Category : Computers
ISBN : 9781447144922

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Energy-Efficient High Performance Computing by James H. Laros III,Kevin Pedretti,Suzanne M. Kelly,Wei Shu,Kurt Ferreira,John Van Dyke,Courtenay Vaughan Pdf

In this work, the unique power measurement capabilities of the Cray XT architecture were exploited to gain an understanding of power and energy use, and the effects of tuning both CPU and network bandwidth. Modifications were made to deterministically halt cores when idle. Additionally, capabilities were added to alter operating P-state. At the application level, an understanding of the power requirements of a range of important DOE/NNSA production scientific computing applications running at large scale is gained by simultaneously collecting current and voltage measurements on the hosting nodes. The effects of both CPU and network bandwidth tuning are examined, and energy savings opportunities without impact on run-time performance are demonstrated. This research suggests that next-generation large-scale platforms should not only approach CPU frequency scaling differently, but could also benefit from the capability to tune other platform components to achieve more energy-efficient performance.

Energy-Efficient Computing and Data Centers

Author : Luigi Brochard,Vinod Kamath,Julita Corbalán,Scott Holland,Walter Mittelbach,Michael Ott
Publisher : John Wiley & Sons
Page : 234 pages
File Size : 47,5 Mb
Release : 2019-08-06
Category : Computers
ISBN : 9781119648802

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Energy-Efficient Computing and Data Centers by Luigi Brochard,Vinod Kamath,Julita Corbalán,Scott Holland,Walter Mittelbach,Michael Ott Pdf

Data centers consume roughly 1% of the total electricity demand, while ICT as a whole consumes around 10%. Demand is growing exponentially and, left unchecked, will grow to an estimated increase of 20% or more by 2030. This book covers the energy consumption and minimization of the different data center components when running real workloads, taking into account the types of instructions executed by the servers. It presents the different air- and liquid-cooled technologies for servers and data centers with some real examples, including waste heat reuse through adsorption chillers, as well as the hardware and software used to measure, model and control energy. It computes and compares the Power Usage Effectiveness and the Total Cost of Ownership of new and existing data centers with different cooling designs, including free cooling and waste heat reuse leading to the Energy Reuse Effectiveness. The book concludes by demonstrating how a well-designed data center reusing waste heat to produce chilled water can reduce energy consumption by roughly 50%, and how renewable energy can be used to create net-zero energy data centers.

Customizable Computing

Author : Yu-Ting Chen,Jason Cong,Michael Gill,Glenn Reinman
Publisher : Springer Nature
Page : 106 pages
File Size : 50,8 Mb
Release : 2022-05-31
Category : Technology & Engineering
ISBN : 9783031017483

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Customizable Computing by Yu-Ting Chen,Jason Cong,Michael Gill,Glenn Reinman Pdf

Since the end of Dennard scaling in the early 2000s, improving the energy efficiency of computation has been the main concern of the research community and industry. The large energy efficiency gap between general-purpose processors and application-specific integrated circuits (ASICs) motivates the exploration of customizable architectures, where one can adapt the architecture to the workload. In this Synthesis lecture, we present an overview and introduction of the recent developments on energy-efficient customizable architectures, including customizable cores and accelerators, on-chip memory customization, and interconnect optimization. In addition to a discussion of the general techniques and classification of different approaches used in each area, we also highlight and illustrate some of the most successful design examples in each category and discuss their impact on performance and energy efficiency. We hope that this work captures the state-of-the-art research and development on customizable architectures and serves as a useful reference basis for further research, design, and implementation for large-scale deployment in future computing systems.

Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design

Author : Nan Zheng,Pinaki Mazumder
Publisher : John Wiley & Sons
Page : 389 pages
File Size : 54,5 Mb
Release : 2019-10-18
Category : Computers
ISBN : 9781119507406

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Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design by Nan Zheng,Pinaki Mazumder Pdf

Explains current co-design and co-optimization methodologies for building hardware neural networks and algorithms for machine learning applications This book focuses on how to build energy-efficient hardware for neural networks with learning capabilities—and provides co-design and co-optimization methodologies for building hardware neural networks that can learn. Presenting a complete picture from high-level algorithm to low-level implementation details, Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design also covers many fundamentals and essentials in neural networks (e.g., deep learning), as well as hardware implementation of neural networks. The book begins with an overview of neural networks. It then discusses algorithms for utilizing and training rate-based artificial neural networks. Next comes an introduction to various options for executing neural networks, ranging from general-purpose processors to specialized hardware, from digital accelerator to analog accelerator. A design example on building energy-efficient accelerator for adaptive dynamic programming with neural networks is also presented. An examination of fundamental concepts and popular learning algorithms for spiking neural networks follows that, along with a look at the hardware for spiking neural networks. Then comes a chapter offering readers three design examples (two of which are based on conventional CMOS, and one on emerging nanotechnology) to implement the learning algorithm found in the previous chapter. The book concludes with an outlook on the future of neural network hardware. Includes cross-layer survey of hardware accelerators for neuromorphic algorithms Covers the co-design of architecture and algorithms with emerging devices for much-improved computing efficiency Focuses on the co-design of algorithms and hardware, which is especially critical for using emerging devices, such as traditional memristors or diffusive memristors, for neuromorphic computing Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design is an ideal resource for researchers, scientists, software engineers, and hardware engineers dealing with the ever-increasing requirement on power consumption and response time. It is also excellent for teaching and training undergraduate and graduate students about the latest generation neural networks with powerful learning capabilities.

Energy Efficient Computing & Electronics

Author : Santosh K. Kurinec,Sumeet Walia
Publisher : CRC Press
Page : 452 pages
File Size : 41,9 Mb
Release : 2019-01-31
Category : Computers
ISBN : 9781351779869

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Energy Efficient Computing & Electronics by Santosh K. Kurinec,Sumeet Walia Pdf

In our abundant computing infrastructure, performance improvements across most all application spaces are now severely limited by the energy dissipation involved in processing, storing, and moving data. The exponential increase in the volume of data to be handled by our computational infrastructure is driven in large part by unstructured data from countless sources. This book explores revolutionary device concepts, associated circuits, and architectures that will greatly extend the practical engineering limits of energy-efficient computation from device to circuit to system level. With chapters written by international experts in their corresponding field, the text investigates new approaches to lower energy requirements in computing. Features • Has a comprehensive coverage of various technologies • Written by international experts in their corresponding field • Covers revolutionary concepts at the device, circuit, and system levels

Power-Efficient Computer Architectures

Author : Magnus Själander,Margaret Martonosi,Stefanos Kaxiras
Publisher : Morgan & Claypool Publishers
Page : 98 pages
File Size : 51,7 Mb
Release : 2014-12-01
Category : Computers
ISBN : 9781627056465

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Power-Efficient Computer Architectures by Magnus Själander,Margaret Martonosi,Stefanos Kaxiras Pdf

As Moore's Law and Dennard scaling trends have slowed, the challenges of building high-performance computer architectures while maintaining acceptable power efficiency levels have heightened. Over the past ten years, architecture techniques for power efficiency have shifted from primarily focusing on module-level efficiencies, toward more holistic design styles based on parallelism and heterogeneity. This work highlights and synthesizes recent techniques and trends in power-efficient computer architecture. Table of Contents: Introduction / Voltage and Frequency Management / Heterogeneity and Specialization / Communication and Memory Systems / Conclusions / Bibliography / Authors' Biographies

Neuromorphic Computing

Author : Anonim
Publisher : BoD – Books on Demand
Page : 298 pages
File Size : 55,8 Mb
Release : 2023-11-15
Category : Computers
ISBN : 9781803561431

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Neuromorphic Computing by Anonim Pdf

Dive into the cutting-edge world of Neuromorphic Computing, a groundbreaking volume that unravels the secrets of brain-inspired computational paradigms. Spanning neuroscience, artificial intelligence, and hardware design, this book presents a comprehensive exploration of neuromorphic systems, empowering both experts and newcomers to embrace the limitless potential of brain-inspired computing. Discover the fundamental principles that underpin neural computation as we journey through the origins of neuromorphic architectures, meticulously crafted to mimic the brain’s intricate neural networks. Unlock the true essence of learning mechanisms – unsupervised, supervised, and reinforcement learning – and witness how these innovations are shaping the future of artificial intelligence.

In-/Near-Memory Computing

Author : Daichi Fujiki,Xiaowei Wang,Arun Subramaniyan,Reetuparna Das
Publisher : Springer Nature
Page : 124 pages
File Size : 52,5 Mb
Release : 2022-05-31
Category : Technology & Engineering
ISBN : 9783031017728

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In-/Near-Memory Computing by Daichi Fujiki,Xiaowei Wang,Arun Subramaniyan,Reetuparna Das Pdf

This book provides a structured introduction of the key concepts and techniques that enable in-/near-memory computing. For decades, processing-in-memory or near-memory computing has been attracting growing interest due to its potential to break the memory wall. Near-memory computing moves compute logic near the memory, and thereby reduces data movement. Recent work has also shown that certain memories can morph themselves into compute units by exploiting the physical properties of the memory cells, enabling in-situ computing in the memory array. While in- and near-memory computing can circumvent overheads related to data movement, it comes at the cost of restricted flexibility of data representation and computation, design challenges of compute capable memories, and difficulty in system and software integration. Therefore, wide deployment of in-/near-memory computing cannot be accomplished without techniques that enable efficient mapping of data-intensive applications to such devices, without sacrificing accuracy or increasing hardware costs excessively. This book describes various memory substrates amenable to in- and near-memory computing, architectural approaches for designing efficient and reliable computing devices, and opportunities for in-/near-memory acceleration of different classes of applications.

Wireless Sensor Networks and Energy Efficiency: Protocols, Routing and Management

Author : Zaman, Noor
Publisher : IGI Global
Page : 656 pages
File Size : 43,8 Mb
Release : 2012-01-31
Category : Technology & Engineering
ISBN : 9781466601024

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Wireless Sensor Networks and Energy Efficiency: Protocols, Routing and Management by Zaman, Noor Pdf

"This book focuses on wireless sensor networks and their operation, covering topics including routing, energy efficiency and management"--

Springer Handbook of Semiconductor Devices

Author : Massimo Rudan,Rossella Brunetti,Susanna Reggiani
Publisher : Springer Nature
Page : 1680 pages
File Size : 52,8 Mb
Release : 2022-11-10
Category : Technology & Engineering
ISBN : 9783030798277

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Springer Handbook of Semiconductor Devices by Massimo Rudan,Rossella Brunetti,Susanna Reggiani Pdf

This Springer Handbook comprehensively covers the topic of semiconductor devices, embracing all aspects from theoretical background to fabrication, modeling, and applications. Nearly 100 leading scientists from industry and academia were selected to write the handbook's chapters, which were conceived for professionals and practitioners, material scientists, physicists and electrical engineers working at universities, industrial R&D, and manufacturers. Starting from the description of the relevant technological aspects and fabrication steps, the handbook proceeds with a section fully devoted to the main conventional semiconductor devices like, e.g., bipolar transistors and MOS capacitors and transistors, used in the production of the standard integrated circuits, and the corresponding physical models. In the subsequent chapters, the scaling issues of the semiconductor-device technology are addressed, followed by the description of novel concept-based semiconductor devices. The last section illustrates the numerical simulation methods ranging from the fabrication processes to the device performances. Each chapter is self-contained, and refers to related topics treated in other chapters when necessary, so that the reader interested in a specific subject can easily identify a personal reading path through the vast contents of the handbook.

Energy Aware Computing

Author : Bob Steigerwald,Chris D.. Lucero,Chakravarthy Akella,Abhishek R.. Agrawal
Publisher : Unknown
Page : 260 pages
File Size : 41,6 Mb
Release : 2012-03-01
Category : Computer systems
ISBN : 1934053414

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Energy Aware Computing by Bob Steigerwald,Chris D.. Lucero,Chakravarthy Akella,Abhishek R.. Agrawal Pdf

In response to worldwide demand for resource conservation and sustainability, the computing industry is investing heavily in making more energy-efficient computers. In Energy Aware Computing, the authors show that both hardware and software have a role in conserving energy. Drawing on their combined engineering experience, the authors describe how computer systems from embedded systems up through enterprise data centers can save power by making energy-efficient hardware and software decisions at the design stage. Customer Comments If you're a developer, read this book, internalize the guidance, and write apps that thrill your users and Mother Earth. -George O. Goodman, Executive Director, Climate Savers Computing Initiative A must read book for anybody who wants to work in state-of-the-art energy-aware computing. -Weisong Shi, Associate Professor of Computer Science, Wayne State University This book is a blueprint for organizations to design and follow energy conservation practices in hardware and software. -G. R.Gangadharan, IBM Research, India The book's encyclopedic coverage makes it an invaluable resource for IT practitioners, technology developers, and students focused on one of the core societal challenges of our time, energy efficiency. -Professor Andrew A. Chien, William Eckhardt Professor of Computer Science, University of Chicago