In Near Memory Computing

Author : Daichi Fujiki
Publisher : Springer Nature
ISBN 13 : 3031017722
Total Pages : 124 pages
Book Rating : 4.28/5 ( download)

DOWNLOAD NOW!

Download or read book In-/Near-Memory Computing written by Daichi Fujiki and published by Springer Nature. This book was released on 2022-05-31 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Saeideh Shirinzadeh
Publisher : Springer
ISBN 13 : 3030180263
Total Pages : 115 pages
Book Rating : 4.63/5 ( download)

DOWNLOAD NOW!

Download or read book In-Memory Computing written by Saeideh Shirinzadeh and published by Springer. This book was released on 2019-05-22 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes a comprehensive approach for synthesis and optimization of logic-in-memory computing hardware and architectures using memristive devices, which creates a firm foundation for practical applications. Readers will get familiar with a new generation of computer architectures that potentially can perform faster, as the necessity for communication between the processor and memory is surpassed. The discussion includes various synthesis methodologies and optimization algorithms targeting implementation cost metrics including latency and area overhead as well as the reliability issue caused by short memory lifetime. Presents a comprehensive synthesis flow for the emerging field of logic-in-memory computing; Describes automated compilation of programmable logic-in-memory computer architectures; Includes several effective optimization algorithm also applicable to classical logic synthesis; Investigates unbalanced write traffic in logic-in-memory architectures and describes wear leveling approaches to alleviate it.

Author : Khaled Salah Mohamed
Publisher : Springer Nature
ISBN 13 : 3030372243
Total Pages : 241 pages
Book Rating : 4.48/5 ( download)

DOWNLOAD NOW!

Download or read book Neuromorphic Computing and Beyond written by Khaled Salah Mohamed and published by Springer Nature. This book was released on 2020-01-25 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses and compares several new trends that can be used to overcome Moore’s law limitations, including Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing. The author shows how these paradigms are used to enhance computing capability as developers face the practical and physical limitations of scaling, while the demand for computing power keeps increasing. The discussion includes a state-of-the-art overview and the essential details of each of these paradigms.

Author : Baker Mohammad
Publisher : Springer Nature
ISBN 13 : 303134233X
Total Pages : 145 pages
Book Rating : 4.32/5 ( download)

DOWNLOAD NOW!

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.

Author : Shamim bhuiyan
Publisher : Lulu.com
ISBN 13 : 1365732355
Total Pages : 360 pages
Book Rating : 4.55/5 ( download)

DOWNLOAD NOW!

Download or read book High Performance in-memory computing with Apache Ignite written by Shamim bhuiyan and published by Lulu.com. This book was released on 2017-04-08 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers a verity of topics, including in-memory data grid, highly available service grid, streaming (event processing for IoT and fast data) and in-memory computing use cases from high-performance computing to get performance gains. The book will be particularly useful for those, who have the following use cases: 1) You have a high volume of ACID transactions in your system. 2) You have database bottleneck in your application and want to solve the problem. 3) You want to develop and deploy Microservices in a distributed fashion. 4) You have an existing Hadoop ecosystem (OLAP) and want to improve the performance of map/reduce jobs without making any changes in your existing map/reduce jobs. 5) You want to share Spark RDD directly in-memory (without storing the state into the disk) 7) You are planning to process continuous never-ending streams and complex events of data. 8) You want to use distributed computations in parallel fashion to gain high performance.

Author : Albert Chun-Chen Liu
Publisher : John Wiley & Sons
ISBN 13 : 1119810477
Total Pages : 244 pages
Book Rating : 4.76/5 ( download)

DOWNLOAD NOW!

Download or read book Artificial Intelligence Hardware Design written by Albert Chun-Chen Liu and published by John Wiley & Sons. This book was released on 2021-08-23 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICIAL INTELLIGENCE HARDWARE DESIGN Learn foundational and advanced topics in Neural Processing Unit design with real-world examples from leading voices in the field In Artificial Intelligence Hardware Design: Challenges and Solutions, distinguished researchers and authors Drs. Albert Chun Chen Liu and Oscar Ming Kin Law deliver a rigorous and practical treatment of the design applications of specific circuits and systems for accelerating neural network processing. Beginning with a discussion and explanation of neural networks and their developmental history, the book goes on to describe parallel architectures, streaming graphs for massive parallel computation, and convolution optimization. The authors offer readers an illustration of in-memory computation through Georgia Tech’s Neurocube and Stanford’s Tetris accelerator using the Hybrid Memory Cube, as well as near-memory architecture through the embedded eDRAM of the Institute of Computing Technology, the Chinese Academy of Science, and other institutions. Readers will also find a discussion of 3D neural processing techniques to support multiple layer neural networks, as well as information like: A thorough introduction to neural networks and neural network development history, as well as Convolutional Neural Network (CNN) models Explorations of various parallel architectures, including the Intel CPU, Nvidia GPU, Google TPU, and Microsoft NPU, emphasizing hardware and software integration for performance improvement Discussions of streaming graph for massive parallel computation with the Blaize GSP and Graphcore IPU An examination of how to optimize convolution with UCLA Deep Convolutional Neural Network accelerator filter decomposition Perfect for hardware and software engineers and firmware developers, Artificial Intelligence Hardware Design is an indispensable resource for anyone working with Neural Processing Units in either a hardware or software capacity.

Author : IEEE Staff
Publisher :
ISBN 13 : 9781728176420
Total Pages : pages
Book Rating : 4.25/5 ( download)

DOWNLOAD NOW!

Download or read book 2021 22nd International Symposium on Quality Electronic Design (ISQED) written by IEEE Staff and published by . This book was released on 2021-04-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The 22nd International Symposium on Quality Electronic Design (ISQED 21) is the premier interdisciplinary and multidisciplinary Electronic Design conference?bridges the gap among Electronic Semiconductor ecosystem members providing electronic design tools, integrated circuit technologies, semiconductor technology,packaging, assembly & test to achieve total design quality

Author : Hao Yu
Publisher : Springer Nature
ISBN 13 : 3031020324
Total Pages : 147 pages
Book Rating : 4.22/5 ( download)

DOWNLOAD NOW!

Download or read book Non-Volatile In-Memory Computing by Spintronics written by Hao Yu and published by Springer Nature. This book was released on 2022-05-31 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exa-scale computing needs to re-examine the existing hardware platform that can support intensive data-oriented computing. Since the main bottleneck is from memory, we aim to develop an energy-efficient in-memory computing platform in this book. First, the models of spin-transfer torque magnetic tunnel junction and racetrack memory are presented. Next, we show that the spintronics could be a candidate for future data-oriented computing for storage, logic, and interconnect. As a result, by utilizing spintronics, in-memory-based computing has been applied for data encryption and machine learning. The implementations of in-memory AES, Simon cipher, as well as interconnect are explained in details. In addition, in-memory-based machine learning and face recognition are also illustrated in this book.

Author : Rajeev Balasubramonian
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1627059695
Total Pages : 153 pages
Book Rating : 4.95/5 ( download)

DOWNLOAD NOW!

Download or read book Innovations in the Memory System written by Rajeev Balasubramonian and published by Morgan & Claypool Publishers. This book was released on 2019-09-10 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a tour through recent and prominent works regarding new DRAM chip designs and technologies, near data processing approaches, new memory channel architectures, techniques to tolerate the overheads of refresh and fault tolerance, security attacks and mitigations, and memory scheduling. The memory system will soon be a hub for future innovation. While conventional memory systems focused primarily on high density, other memory system metrics like energy, security, and reliability are grabbing modern research headlines. With processor performance stagnating, it is also time to consider new programming models that move some application computations into the memory system. This, in turn, will lead to feature-rich memory systems with new interfaces. The past decade has seen a number of memory system innovations that point to this future where the memory system will be much more than dense rows of unintelligent bits.

Author : Bruce Jacob
Publisher : Morgan & Claypool Publishers
ISBN 13 : 159829587X
Total Pages : 78 pages
Book Rating : 4.70/5 ( download)

DOWNLOAD NOW!

Download or read book The Memory System written by Bruce Jacob and published by Morgan & Claypool Publishers. This book was released on 2009 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduce the reader to the most important details of the memory system. This book targets both computer scientists and computer engineers in industry and in academia. Roughly speaking, computer scientists are the users of the memory system and computer engineers are the designers of the memory system. Both can benefit tremendously from a basic understanding of how the memory system really works.