In Memory Computing
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In Near Memory Computing
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Author : Daichi Fujiki
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2021-08-12
In Near Memory Computing written by Daichi Fujiki and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-12 with Computers categories.
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.
In Memory Computing
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Author : Saeideh Shirinzadeh
language : en
Publisher: Springer
Release Date : 2019-05-22
In Memory Computing written by Saeideh Shirinzadeh and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-22 with Technology & Engineering categories.
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.
Non Volatile In Memory Computing By Spintronics
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Author : Hao Yu
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2016-12-02
Non Volatile In Memory Computing By Spintronics written by Hao Yu and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-02 with Computers categories.
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.
In Memory Computing Hardware Accelerators For Data Intensive Applications
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Author : Baker Mohammad
language : en
Publisher: Springer Nature
Release Date : 2023-09-25
In Memory Computing Hardware Accelerators For Data Intensive Applications written by Baker Mohammad and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-25 with Technology & Engineering categories.
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.
High Performance In Memory Computing With Apache Ignite
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Author : Shamim bhuiyan
language : en
Publisher: Lulu.com
Release Date : 2017-04-08
High Performance In Memory Computing With Apache Ignite written by Shamim bhuiyan and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-08 with Computers categories.
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.
Non Volatile In Memory Computing By Spintronics
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Author : Hao Yu
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Non Volatile In Memory Computing By Spintronics written by Hao Yu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Technology & Engineering categories.
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.
In Memory Computing With Emerging Non Volatile Memory For Efficient Processing Of Deep Neural Networks
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Author :
language : en
Publisher:
Release Date : 2022
In Memory Computing With Emerging Non Volatile Memory For Efficient Processing Of Deep Neural Networks written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
In Memory Data Management
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Author : Hasso Plattner
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-03-08
In Memory Data Management written by Hasso Plattner and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-08 with Business & Economics categories.
In the last 50 years the world has been completely transformed through the use of IT. We have now reached a new inflection point. Here we present, for the first time, how in-memory computing is changing the way businesses are run. Today, enterprise data is split into separate databases for performance reasons. Analytical data resides in warehouses, synchronized periodically with transactional systems. This separation makes flexible, real-time reporting on current data impossible. Multi-core CPUs, large main memories, cloud computing and powerful mobile devices are serving as the foundation for the transition of enterprises away from this restrictive model. We describe techniques that allow analytical and transactional processing at the speed of thought and enable new ways of doing business. The book is intended for university students, IT-professionals and IT-managers, but also for senior management who wish to create new business processes by leveraging in-memory computing.
In Memory Computing Second Edition
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Author : Gerardus Blokdyk
language : en
Publisher: 5starcooks
Release Date : 2018-05-19
In Memory Computing Second Edition written by Gerardus Blokdyk and has been published by 5starcooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-19 with categories.
Does In-Memory Computing analysis show the relationships among important In-Memory Computing factors? Which In-Memory Computing goals are the most important? Is In-Memory Computing linked to key business goals and objectives? What prevents me from making the changes I know will make me a more effective In-Memory Computing leader? Who are the In-Memory Computing improvement team members, including Management Leads and Coaches? This exclusive In-Memory Computing self-assessment will make you the entrusted In-Memory Computing domain expert by revealing just what you need to know to be fluent and ready for any In-Memory Computing challenge. How do I reduce the effort in the In-Memory Computing work to be done to get problems solved? How can I ensure that plans of action include every In-Memory Computing task and that every In-Memory Computing outcome is in place? How will I save time investigating strategic and tactical options and ensuring In-Memory Computing costs are low? How can I deliver tailored In-Memory Computing advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all In-Memory Computing essentials are covered, from every angle: the In-Memory Computing self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that In-Memory Computing outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced In-Memory Computing practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in In-Memory Computing are maximized with professional results. Your purchase includes access details to the In-Memory Computing self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book.
In Memory Computing Technology A Complete Guide
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Author : Gerardus Blokdyk
language : en
Publisher: 5starcooks
Release Date : 2018-08-24
In Memory Computing Technology A Complete Guide written by Gerardus Blokdyk and has been published by 5starcooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-24 with categories.
Does In-Memory Computing Technology analysis show the relationships among important In-Memory Computing Technology factors? Will In-Memory Computing Technology have an impact on current business continuity, disaster recovery processes and/or infrastructure? Are we using In-Memory Computing Technology to communicate information about our Cybersecurity Risk Management programs including the effectiveness of those programs to stakeholders, including boards, investors, auditors, and insurers? How do you determine the key elements that affect In-Memory Computing Technology workforce satisfaction? how are these elements determined for different workforce groups and segments? Explorations of the frontiers of In-Memory Computing Technology will help you build influence, improve In-Memory Computing Technology, optimize decision making, and sustain change This exclusive In-Memory Computing Technology self-assessment will make you the credible In-Memory Computing Technology domain adviser by revealing just what you need to know to be fluent and ready for any In-Memory Computing Technology challenge. How do I reduce the effort in the In-Memory Computing Technology work to be done to get problems solved? How can I ensure that plans of action include every In-Memory Computing Technology task and that every In-Memory Computing Technology outcome is in place? How will I save time investigating strategic and tactical options and ensuring In-Memory Computing Technology costs are low? How can I deliver tailored In-Memory Computing Technology advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all In-Memory Computing Technology essentials are covered, from every angle: the In-Memory Computing Technology self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that In-Memory Computing Technology outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced In-Memory Computing Technology practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in In-Memory Computing Technology are maximized with professional results. Your purchase includes access details to the In-Memory Computing Technology self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard, and... - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation ...plus an extra, special, resource that helps you with project managing. INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.