Low-Energy FPGAs — Architecture and Design Book

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Low-Energy FPGAs — Architecture and Design

By Varghese George,Jan M. Rabaey
  • ISBN Code: : 1461514215
  • Publisher : Springer Science & Business Media
  • Pages : 182
  • Category : Technology & Engineering
  • Reads : 836
  • Book Compatibility : Pdf, ePub, Mobi, Kindle
  • Pdf : low-energy-fpgas-architecture-and-design.pdf

Book Excerpt :

Low-Energy FPGAs: Architecture and Design is a primary resource for both researchers and practicing engineers in the field of digital circuit design. The book addresses the energy consumption of Field-Programmable Gate Arrays (FPGAs). FPGAs are becoming popular as embedded components in computing platforms. The programmability of the FPGA can be used to customize implementations of functions on an application basis. This leads to performance gains, and enables reuse of expensive silicon. Chapter 1 provides an overview of digital circuit design and FPGAs. Chapter 2 looks at the implication of deep-submicron technology onFPGA power dissipation. Chapter 3 describes the exploration environment to guide and evaluate design decisions. Chapter 4 discusses the architectural optimization process to evaluate the trade-offs between the flexibility of the architecture, and the effect on the performance metrics. Chapter 5 reviews different circuit techniques to reduce the performance overhead of some of the dominant components. Chapter 6 shows methods to configure FPGAs to minimize the programming overhead. Chapter 7 addresses the physical realization of some of the critical components and the final implementation of a specific low-energy FPGA. Chapter 8 compares the prototype array to an equivalent commercial architecture.

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  • Pdf File: fpga-algorithms-and-applications-for-the-internet-of-things.pdf

Book Short Summary:

In the research area of computer science, practitioners are constantly searching for faster platforms with pertinent results. With analytics that span environmental development to computer hardware emulation, problem-solving algorithms are in high demand. Field-Programmable Gate Array (FPGA) is a promising computing platform that can be significantly faster for some applications and can be applied to a variety of fields. FPGA Algorithms and Applications for the Internet of Things provides emerging research exploring the theoretical and practical aspects of computable algorithms and applications within robotics and electronics development. Featuring coverage on a broad range of topics such as neuroscience, bioinformatics, and artificial intelligence, this book is ideally designed for computer science specialists, researchers, professors, and students seeking current research on cognitive analytics and advanced computing.

Applied Reconfigurable Computing. Architectures, Tools, and Applications

By Fernando Rincón,Jesús Barba,Hayden K. H. So,Pedro Diniz,Julián Caba
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Springer Nature
  • Book Code : 3030445348
  • Total of Pages : 404
  • Category : Computers
  • Members : 546
  • Pdf File: applied-reconfigurable-computing-architectures-tools-and-applications.pdf

Book Short Summary:

This book constitutes the proceedings of the 16th International Symposium on Applied Reconfigurable Computing, ARC 2020, held in Toledo, Spain, in April 2020. The 18 full papers and 11 poster presentations presented in this volume were carefully reviewed and selected from 40 submissions. The papers are organized in the following topical sections: design methods & tools; design space exploration & estimation techniques; high-level synthesis; architectures; applications.

Hardware/Software Architectures for Low-Power Embedded Multimedia Systems

By Muhammad Shafique,Jörg Henkel
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Springer Science & Business Media
  • Book Code : 9781441996923
  • Total of Pages : 223
  • Category : Technology & Engineering
  • Members : 455
  • Pdf File: hardware-software-architectures-for-low-power-embedded-multimedia-systems.pdf

Book Short Summary:

This book presents techniques for energy reduction in adaptive embedded multimedia systems, based on dynamically reconfigurable processors. The approach described will enable designers to meet performance/area constraints, while minimizing video quality degradation, under various, run-time scenarios. Emphasis is placed on implementing power/energy reduction at various abstraction levels. To enable this, novel techniques for adaptive energy management at both processor architecture and application architecture levels are presented, such that both hardware and software adapt together, minimizing overall energy consumption under unpredictable, design-/compile-time scenarios.

Energy Efficient Computing & Electronics

By Santosh K. Kurinec,Sumeet Walia
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : CRC Press
  • Book Code : 1351779869
  • Total of Pages : 452
  • Category : Computers
  • Members : 419
  • Pdf File: energy-efficient-computing-electronics.pdf

Book Short Summary:

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

Design and Modeling of Low Power VLSI Systems

By Sharma, Manoj,Gautam, Ruchi,Khan, Mohammad Ayoub
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : IGI Global
  • Book Code : 1522501916
  • Total of Pages : 386
  • Category : Technology & Engineering
  • Members : 488
  • Pdf File: design-and-modeling-of-low-power-vlsi-systems.pdf

Book Short Summary:

Very Large Scale Integration (VLSI) Systems refer to the latest development in computer microchips which are created by integrating hundreds of thousands of transistors into one chip. Emerging research in this area has the potential to uncover further applications for VSLI technologies in addition to system advancements. Design and Modeling of Low Power VLSI Systems analyzes various traditional and modern low power techniques for integrated circuit design in addition to the limiting factors of existing techniques and methods for optimization. Through a research-based discussion of the technicalities involved in the VLSI hardware development process cycle, this book is a useful resource for researchers, engineers, and graduate-level students in computer science and engineering.

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

By
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Academic Press
  • Book Code : 0128231246
  • Total of Pages : 416
  • Category : Computers
  • Members : 899
  • Pdf File: hardware-accelerator-systems-for-artificial-intelligence-and-machine-learning.pdf

Book Short Summary:

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into artificial Intelligence and the growth it has seen with the advent of Deep Neural Networks (DNNs) and Machine Learning. Updates in this release include chapters on Hardware accelerator systems for artificial intelligence and machine learning, Introduction to Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Deep Learning with GPUs, Edge Computing Optimization of Deep Learning Models for Specialized Tensor Processing Architectures, Architecture of NPU for DNN, Hardware Architecture for Convolutional Neural Network for Image Processing, FPGA based Neural Network Accelerators, and much more. Updates on new information on the architecture of GPU, NPU and DNN Discusses In-memory computing, Machine intelligence and Quantum computing Includes sections on Hardware Accelerator Systems to improve processing efficiency and performance

Emerging Technology and Architecture for Big-data Analytics

By Anupam Chattopadhyay,Chip Hong Chang,Hao Yu
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Springer
  • Book Code : 3319548409
  • Total of Pages : 330
  • Category : Technology & Engineering
  • Members : 533
  • Pdf File: emerging-technology-and-architecture-for-big-data-analytics.pdf

Book Short Summary:

This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes emerging technology and devices for data-analytics, circuit design for data-analytics, and architecture and algorithms to support data-analytics. Readers will benefit from the realistic context used by the authors, which demonstrates what works, what doesn’t work, and what are the fundamental problems, solutions, upcoming challenges and opportunities. Provides a single-source reference to hardware architectures for big-data analytics; Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and systems; Demonstrates how non-volatile memory (NVM) based hardware platforms can be a viable solution to existing challenges in hardware architecture for big-data analytics.

Spintronics-based Computing

By Weisheng Zhao,Guillaume Prenat
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Springer
  • Book Code : 3319151800
  • Total of Pages : 253
  • Category : Technology & Engineering
  • Members : 620
  • Pdf File: spintronics-based-computing.pdf

Book Short Summary:

This book provides a comprehensive introduction to spintronics-based computing for the next generation of ultra-low power/highly reliable logic. It will cover aspects from device to system-level, including magnetic memory cells, device modeling, hybrid circuit structure, design methodology, CAD tools, and technological integration methods. This book is accessible to a variety of readers and little or no background in magnetism and spin electronics are required to understand its content. The multidisciplinary team of expert authors from circuits, devices, computer architecture, CAD and system design reveal to readers the potential of spintronics nanodevices to reduce power consumption, improve reliability and enable new functionality.