A Fully Analog Computing In Memory Accelerator For Neural Network

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Efficient Processing of Deep Neural Networks

Author : Vivienne Sze
Publisher : Springer Nature
ISBN 13 : 3031017668
Total Pages : 254 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Efficient Processing of Deep Neural Networks by : Vivienne Sze

Download or read book Efficient Processing of Deep Neural Networks written by Vivienne Sze and published by Springer Nature. This book was released on 2022-05-31 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve key metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas.

High Energy Efficiency Neural Network Processor with Combined Digital and Computing-in-Memory Architecture

Author : Jinshan Yue
Publisher : Springer Nature
ISBN 13 : 9819734770
Total Pages : 128 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis High Energy Efficiency Neural Network Processor with Combined Digital and Computing-in-Memory Architecture by : Jinshan Yue

Download or read book High Energy Efficiency Neural Network Processor with Combined Digital and Computing-in-Memory Architecture written by Jinshan Yue and published by Springer Nature. This book was released on with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt:

In-Memory Computing Hardware Accelerators for Data-Intensive Applications

Author : Baker Mohammad
Publisher : Springer Nature
ISBN 13 : 303134233X
Total Pages : 145 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis In-Memory Computing Hardware Accelerators for Data-Intensive Applications by : Baker Mohammad

Download or read book In-Memory Computing Hardware Accelerators for Data-Intensive Applications written by Baker Mohammad and published by Springer Nature. This book was released on 2023-10-27 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the state-of-the-art of technology and research on In-Memory Computing Hardware Accelerators for Data-Intensive Applications. The authors discuss how processing-centric computing has become insufficient to meet target requirements and how Memory-centric computing may be better suited for the needs of current applications. This reveals for readers how current and emerging memory technologies are causing a shift in the computing paradigm. The authors do deep-dive discussions on volatile and non-volatile memory technologies, covering their basic memory cell structures, operations, different computational memory designs and the challenges associated with them. Specific case studies and potential applications are provided along with their current status and commercial availability in the market.

Domain-Specific Computer Architectures for Emerging Applications

Author : Chao Wang
Publisher : CRC Press
ISBN 13 : 1040031986
Total Pages : 417 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Domain-Specific Computer Architectures for Emerging Applications by : Chao Wang

Download or read book Domain-Specific Computer Architectures for Emerging Applications written by Chao Wang and published by CRC Press. This book was released on 2024-06-04 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the end of Moore’s Law, domain-specific architecture (DSA) has become a crucial mode of implementing future computing architectures. This book discusses the system-level design methodology of DSAs and their applications, providing a unified design process that guarantees functionality, performance, energy efficiency, and real-time responsiveness for the target application. DSAs often start from domain-specific algorithms or applications, analyzing the characteristics of algorithmic applications, such as computation, memory access, and communication, and proposing the heterogeneous accelerator architecture suitable for that particular application. This book places particular focus on accelerator hardware platforms and distributed systems for various novel applications, such as machine learning, data mining, neural networks, and graph algorithms, and also covers RISC-V open-source instruction sets. It briefly describes the system design methodology based on DSAs and presents the latest research results in academia around domain-specific acceleration architectures. Providing cutting-edge discussion of big data and artificial intelligence scenarios in contemporary industry and typical DSA applications, this book appeals to industry professionals as well as academicians researching the future of computing in these areas.

Analog Circuits for Machine Learning, Current/Voltage/Temperature Sensors, and High-speed Communication

Author : Pieter Harpe
Publisher : Springer Nature
ISBN 13 : 303091741X
Total Pages : 351 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Analog Circuits for Machine Learning, Current/Voltage/Temperature Sensors, and High-speed Communication by : Pieter Harpe

Download or read book Analog Circuits for Machine Learning, Current/Voltage/Temperature Sensors, and High-speed Communication written by Pieter Harpe and published by Springer Nature. This book was released on 2022-03-24 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is based on the 18 tutorials presented during the 29th workshop on Advances in Analog Circuit Design. Expert designers present readers with information about a variety of topics at the frontier of analog circuit design, with specific contributions focusing on analog circuits for machine learning, current/voltage/temperature sensors, and high-speed communication via wireless, wireline, or optical links. This book serves as a valuable reference to the state-of-the-art, for anyone involved in analog circuit research and development.

Memristor

Author : Yao-Feng Chang
Publisher : BoD – Books on Demand
ISBN 13 : 1839689560
Total Pages : 180 pages
Book Rating : 4.8/5 (396 download)

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Book Synopsis Memristor by : Yao-Feng Chang

Download or read book Memristor written by Yao-Feng Chang and published by BoD – Books on Demand. This book was released on 2021-11-17 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a platform for interdisciplinary research into unconventional computing with emerging physical substrates. With a focus on memristor devices, the chapter authors discuss a wide range of topics, including memristor theory, mathematical modelling, circuit theory, memristor-mate, memristor security, artificial intelligence, and much more.

Neuromorphic Devices for Brain-inspired Computing

Author : Qing Wan
Publisher : John Wiley & Sons
ISBN 13 : 3527349790
Total Pages : 258 pages
Book Rating : 4.5/5 (273 download)

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Book Synopsis Neuromorphic Devices for Brain-inspired Computing by : Qing Wan

Download or read book Neuromorphic Devices for Brain-inspired Computing written by Qing Wan and published by John Wiley & Sons. This book was released on 2022-05-16 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the cutting-edge of neuromorphic technologies with applications in Artificial Intelligence In Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics, a team of expert engineers delivers a comprehensive discussion of all aspects of neuromorphic electronics designed to assist researchers and professionals to understand and apply all manner of brain-inspired computing and perception technologies. The book covers both memristic and neuromorphic devices, including spintronic, multi-terminal, and neuromorphic perceptual applications. Summarizing recent progress made in five distinct configurations of brain-inspired computing, the authors explore this promising technology’s potential applications in two specific areas: neuromorphic computing systems and neuromorphic perceptual systems. The book also includes: A thorough introduction to two-terminal neuromorphic memristors, including memristive devices and resistive switching mechanisms Comprehensive explorations of spintronic neuromorphic devices and multi-terminal neuromorphic devices with cognitive behaviors Practical discussions of neuromorphic devices based on chalcogenide and organic materials In-depth examinations of neuromorphic computing and perceptual systems with emerging devices Perfect for materials scientists, biochemists, and electronics engineers, Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics will also earn a place in the libraries of neurochemists, neurobiologists, and neurophysiologists.

Neuro-inspired Computing Using Resistive Synaptic Devices

Author : Shimeng Yu
Publisher : Springer
ISBN 13 : 9783319853680
Total Pages : 0 pages
Book Rating : 4.8/5 (536 download)

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Book Synopsis Neuro-inspired Computing Using Resistive Synaptic Devices by : Shimeng Yu

Download or read book Neuro-inspired Computing Using Resistive Synaptic Devices written by Shimeng Yu and published by Springer. This book was released on 2018-07-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book summarizes the recent breakthroughs in hardware implementation of neuro-inspired computing using resistive synaptic devices. The authors describe how two-terminal solid-state resistive memories can emulate synaptic weights in a neural network. Readers will benefit from state-of-the-art summaries of resistive synaptic devices, from the individual cell characteristics to the large-scale array integration. This book also discusses peripheral neuron circuits design challenges and design strategies. Finally, the authors describe the impact of device non-ideal properties (e.g. noise, variation, yield) and their impact on the learning performance at the system-level, using a device-algorithm co-design methodology.

High Performance Computing for Big Data

Author : Chao Wang
Publisher : CRC Press
ISBN 13 : 1498784003
Total Pages : 287 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis High Performance Computing for Big Data by : Chao Wang

Download or read book High Performance Computing for Big Data written by Chao Wang and published by CRC Press. This book was released on 2017-10-16 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: High-Performance Computing for Big Data: Methodologies and Applications explores emerging high-performance architectures for data-intensive applications, novel efficient analytical strategies to boost data processing, and cutting-edge applications in diverse fields, such as machine learning, life science, neural networks, and neuromorphic engineering. The book is organized into two main sections. The first section covers Big Data architectures, including cloud computing systems, and heterogeneous accelerators. It also covers emerging 3D IC design principles for memory architectures and devices. The second section of the book illustrates emerging and practical applications of Big Data across several domains, including bioinformatics, deep learning, and neuromorphic engineering. Features Covers a wide range of Big Data architectures, including distributed systems like Hadoop/Spark Includes accelerator-based approaches for big data applications such as GPU-based acceleration techniques, and hardware acceleration such as FPGA/CGRA/ASICs Presents emerging memory architectures and devices such as NVM, STT- RAM, 3D IC design principles Describes advanced algorithms for different big data application domains Illustrates novel analytics techniques for Big Data applications, scheduling, mapping, and partitioning methodologies Featuring contributions from leading experts, this book presents state-of-the-art research on the methodologies and applications of high-performance computing for big data applications. About the Editor Dr. Chao Wang is an Associate Professor in the School of Computer Science at the University of Science and Technology of China. He is the Associate Editor of ACM Transactions on Design Automations for Electronics Systems (TODAES), Applied Soft Computing, Microprocessors and Microsystems, IET Computers & Digital Techniques, and International Journal of Electronics. Dr. Chao Wang was the recipient of Youth Innovation Promotion Association, CAS, ACM China Rising Star Honorable Mention (2016), and best IP nomination of DATE 2015. He is now on the CCF Technical Committee on Computer Architecture, CCF Task Force on Formal Methods. He is a Senior Member of IEEE, Senior Member of CCF, and a Senior Member of ACM.

TinyML

Author : Pete Warden
Publisher : O'Reilly Media
ISBN 13 : 1492052019
Total Pages : 504 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis TinyML by : Pete Warden

Download or read book TinyML written by Pete Warden and published by O'Reilly Media. This book was released on 2019-12-16 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size

Neuromorphic Photonics

Author : Paul R. Prucnal
Publisher : CRC Press
ISBN 13 : 1498725244
Total Pages : 412 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Neuromorphic Photonics by : Paul R. Prucnal

Download or read book Neuromorphic Photonics written by Paul R. Prucnal and published by CRC Press. This book was released on 2017-05-08 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book sets out to build bridges between the domains of photonic device physics and neural networks, providing a comprehensive overview of the emerging field of "neuromorphic photonics." It includes a thorough discussion of evolution of neuromorphic photonics from the advent of fiber-optic neurons to today’s state-of-the-art integrated laser neurons, which are a current focus of international research. Neuromorphic Photonics explores candidate interconnection architectures and devices for integrated neuromorphic networks, along with key functionality such as learning. It is written at a level accessible to graduate students, while also intending to serve as a comprehensive reference for experts in the field.

Processing-in-Memory for AI

Author : Joo-Young Kim
Publisher : Springer Nature
ISBN 13 : 3030987817
Total Pages : 168 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Processing-in-Memory for AI by : Joo-Young Kim

Download or read book Processing-in-Memory for AI written by Joo-Young Kim and published by Springer Nature. This book was released on 2022-07-09 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive introduction to processing-in-memory (PIM) technology, from its architectures to circuits implementations on multiple memory types and describes how it can be a viable computer architecture in the era of AI and big data. The authors summarize the challenges of AI hardware systems, processing-in-memory (PIM) constraints and approaches to derive system-level requirements for a practical and feasible PIM solution. The presentation focuses on feasible PIM solutions that can be implemented and used in real systems, including architectures, circuits, and implementation cases for each major memory type (SRAM, DRAM, and ReRAM).

Memristive Devices for Brain-Inspired Computing

Author : Sabina Spiga
Publisher : Woodhead Publishing
ISBN 13 : 0081027877
Total Pages : 569 pages
Book Rating : 4.0/5 (81 download)

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Book Synopsis Memristive Devices for Brain-Inspired Computing by : Sabina Spiga

Download or read book Memristive Devices for Brain-Inspired Computing written by Sabina Spiga and published by Woodhead Publishing. This book was released on 2020-06-12 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications—Computational Memory, Deep Learning, and Spiking Neural Networks reviews the latest in material and devices engineering for optimizing memristive devices beyond storage applications and toward brain-inspired computing. The book provides readers with an understanding of four key concepts, including materials and device aspects with a view of current materials systems and their remaining barriers, algorithmic aspects comprising basic concepts of neuroscience as well as various computing concepts, the circuits and architectures implementing those algorithms based on memristive technologies, and target applications, including brain-inspired computing, computational memory, and deep learning. This comprehensive book is suitable for an interdisciplinary audience, including materials scientists, physicists, electrical engineers, and computer scientists. - Provides readers an overview of four key concepts in this emerging research topic including materials and device aspects, algorithmic aspects, circuits and architectures and target applications - Covers a broad range of applications, including brain-inspired computing, computational memory, deep learning and spiking neural networks - Includes perspectives from a wide range of disciplines, including materials science, electrical engineering and computing, providing a unique interdisciplinary look at the field

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

Author :
Publisher : Academic Press
ISBN 13 : 0128231246
Total Pages : 416 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Hardware Accelerator Systems for Artificial Intelligence and Machine Learning by :

Download or read book Hardware Accelerator Systems for Artificial Intelligence and Machine Learning written by and published by Academic Press. This book was released on 2021-03-28 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial 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

Design and Applications of Emerging Computer Systems

Author : Weiqiang Liu
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:

Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions

Author : Erika Covi
Publisher : Frontiers Media SA
ISBN 13 : 2889760006
Total Pages : 244 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions by : Erika Covi

Download or read book Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions written by Erika Covi and published by Frontiers Media SA. This book was released on 2022-04-26 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Smart Embedded Systems

Author : Arun Sinha
Publisher : CRC Press
ISBN 13 : 1003810268
Total Pages : 300 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Smart Embedded Systems by : Arun Sinha

Download or read book Smart Embedded Systems written by Arun Sinha and published by CRC Press. This book was released on 2023-12-01 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Smart Embedded Systems: Advances and Applications" is a comprehensive guide that demystifies the complex world of embedded technology. The book journeys through a wide range of topics from healthcare to energy management, autonomous robotics, and wireless communication, showcasing the transformative potential of intelligent embedded systems in these fields. This concise volume introduces readers to innovative techniques and their practical applications, offers a comparative analysis of wireless protocols, and provides efficient resource allocation strategies in IoT-based ecosystems. With real-world examples and in-depth case studies, it serves as an invaluable resource for students and professionals seeking to harness the power of embedded technology to shape our digital future. Salient Features: The book provides a comprehensive coverage of various aspects of smart embedded systems, exploring their design, implementation, optimization, and a range of applications. This is further enhanced by in-depth discussions on hardware and software optimizations aimed at improving overall system performance. A detailed examination of machine learning techniques specifically tailored for data analysis and prediction within embedded systems. This complements the exploration of cutting-edge research on the use of AI to enhance wireless communications. Real-world applications of these technologies are extensively discussed, with a focus on areas such as seizure detection, noise reduction, health monitoring, diabetic care, autonomous vehicles, and communication systems. This includes a deep-dive into different wireless protocols utilized for data transfer in IoT systems. This book highlights key IoT technologies and their myriad applications, extending from environmental data collection to health monitoring. This is underscored by case studies on the integration of AI and IoT in healthcare, spanning topics from anomaly detection to informed clinical decision-making. Also featured is a detailed evaluation and comparison of different system implementations and methodologies This book is an essential read for anyone interested in the field of embedded systems. Whether you're a student looking to broaden your knowledge base, researchers looking in-depth insights, or professionals planning to use this cutting-edge technology in real-world applications, this book offers a thorough grounding in the subject.