In Memory Computing

Author : Saeideh Shirinzadeh,Rolf Drechsler
Publisher : Springer
Page : 115 pages
File Size : 53,5 Mb
Release : 2019-05-22
Category : Technology & Engineering
ISBN : 9783030180263

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In-Memory Computing by Saeideh Shirinzadeh,Rolf Drechsler Pdf

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 : Daichi Fujiki,Xiaowei Wang,Arun Subramaniyan,Reetuparna Das
Publisher : Springer Nature
Page : 124 pages
File Size : 42,8 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.

Author : Hasso Plattner,Alexander Zeier
Publisher : Springer Science & Business Media
Page : 286 pages
File Size : 44,5 Mb
Release : 2012-05-14
Category : Business & Economics
ISBN : 9783642295744

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In-Memory Data Management by Hasso Plattner,Alexander Zeier Pdf

This book examines for the first time, the ways that in-memory computing is changing the way businesses are run. The authors describe techniques that allow analytical and transactional processing at the speed of thought and enable new ways of doing business.

Author : Benjamin Bengfort,Jenny Kim
Publisher : "O'Reilly Media, Inc."
Page : 288 pages
File Size : 41,7 Mb
Release : 2016-06
Category : Computers
ISBN : 9781491913765

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Data Analytics with Hadoop by Benjamin Bengfort,Jenny Kim Pdf

Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you’ll focus on particular analyses you can build, the data warehousing techniques that Hadoop provides, and higher order data workflows this framework can produce. Data scientists and analysts will learn how to perform a wide range of techniques, from writing MapReduce and Spark applications with Python to using advanced modeling and data management with Spark MLlib, Hive, and HBase. You’ll also learn about the analytical processes and data systems available to build and empower data products that can handle—and actually require—huge amounts of data. Understand core concepts behind Hadoop and cluster computing Use design patterns and parallel analytical algorithms to create distributed data analysis jobs Learn about data management, mining, and warehousing in a distributed context using Apache Hive and HBase Use Sqoop and Apache Flume to ingest data from relational databases Program complex Hadoop and Spark applications with Apache Pig and Spark DataFrames Perform machine learning techniques such as classification, clustering, and collaborative filtering with Spark’s MLlib

Author : Shamim bhuiyan,Michael Zheludkov,Timur Isachenko
Publisher : Lulu.com
Page : 360 pages
File Size : 50,9 Mb
Release : 2017-04-08
Category : Computers
ISBN : 9781365732355

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High Performance in-memory computing with Apache Ignite by Shamim bhuiyan,Michael Zheludkov,Timur Isachenko Pdf

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 : Baker Mohammad,Yasmin Halawani
Publisher : Springer Nature
Page : 145 pages
File Size : 41,5 Mb
Release : 2023-10-27
Category : Technology & Engineering
ISBN : 9783031342332

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In-Memory Computing Hardware Accelerators for Data-Intensive Applications by Baker Mohammad,Yasmin Halawani Pdf

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 : Hasso Plattner,Alexander Zeier
Publisher : Springer Science & Business Media
Page : 245 pages
File Size : 42,6 Mb
Release : 2011-03-08
Category : Business & Economics
ISBN : 9783642193637

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In-Memory Data Management by Hasso Plattner,Alexander Zeier Pdf

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.

Author : Michael Zheludkov,Shamim Bhuiyan
Publisher : Lulu.com
Page : 642 pages
File Size : 49,5 Mb
Release : 2019-02-25
Category : Computers
ISBN : 9780359439379

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The Apache Ignite Book by Michael Zheludkov,Shamim Bhuiyan Pdf

Apache Ignite is one of the most widely used open source memory-centric distributed, caching, and processing platform. This allows the users to use the platform as an in-memory computing framework or a full functional persistence data stores with SQL and ACID transaction support. On the other hand, Apache Ignite can be used for accelerating existing Relational and NoSQL databases, processing events & streaming data or developing Microservices in fault-tolerant fashion. This book addressed anyone interested in learning in-memory computing and distributed database. This book intends to provide someone with little to no experience of Apache Ignite with an opportunity to learn how to use this platform effectively from scratch taking a practical hands-on approach to learning. Please see the table of contents for more details.

Author : Arndt Bode
Publisher : Unknown
Page : 528 pages
File Size : 49,5 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 366216759X

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Distributed Memory Computing by Arndt Bode Pdf

Author : Hao Yu,Leibin Ni,Yuhao Wang
Publisher : Springer Nature
Page : 147 pages
File Size : 52,9 Mb
Release : 2022-05-31
Category : Technology & Engineering
ISBN : 9783031020322

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Non-Volatile In-Memory Computing by Spintronics by Hao Yu,Leibin Ni,Yuhao Wang Pdf

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 : Saeideh Shirinzadeh,Rolf Drechsler
Publisher : Unknown
Page : 0 pages
File Size : 42,8 Mb
Release : 2023
Category : Computer storage devices
ISBN : 3031228790

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In-Memory-Computing by Saeideh Shirinzadeh,Rolf Drechsler Pdf

Author : Arndt Bode
Publisher : Springer
Page : 524 pages
File Size : 55,9 Mb
Release : 1991
Category : Electronic books
ISBN : UCAL:B190054

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Distributed Memory Computing by Arndt Bode Pdf

"This volume presents the proceedings of a conference covering European activities in the field of distributed memory computing architectures, programming tools, operating systems, programming languages and applications. New architectures discussed within the framework of several ESPRIT projects are covered as well as the application of a number of European and non-European commercial multiprocessor systems. Research on different interconnection topologies including mesh and hypercubes and on virtual shared memory systems is presented. One of the main topics of the book is tools for programming such architectures (debuggers, performance analysers, visualizers, load balancers, mappers) with the goal of enhancing the productivity of the programmer. Alternative execution models such as systolic arrays and dataflow processors are also addressed."--PUBLISHER'S WEBSITE.

Author : Steve Scargall
Publisher : Apress
Page : 384 pages
File Size : 40,8 Mb
Release : 2020-01-09
Category : Computers
ISBN : 9781484249321

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Programming Persistent Memory by Steve Scargall Pdf

Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times—a huge leap forward in byte-addressable capacity compared with current DRAM offerings. This revolutionary new technology gives applications significant performance and capacity improvements over existing technologies. It requires a new way of thinking and developing, which makes this highly disruptive to the IT/computing industry. The full spectrum of industry sectors that will benefit from this technology include, but are not limited to, in-memory and traditional databases, AI, analytics, HPC, virtualization, and big data. Programming Persistent Memory describes the technology and why it is exciting the industry. It covers the operating system and hardware requirements as well as how to create development environments using emulated or real persistent memory hardware. The book explains fundamental concepts; provides an introduction to persistent memory programming APIs for C, C++, JavaScript, and other languages; discusses RMDA with persistent memory; reviews security features; and presents many examples. Source code and examples that you can run on your own systems are included. What You’ll Learn Understand what persistent memory is, what it does, and the value it brings to the industry Become familiar with the operating system and hardware requirements to use persistent memory Know the fundamentals of persistent memory programming: why it is different from current programming methods, and what developers need to keep in mind when programming for persistence Look at persistent memory application development by example using the Persistent Memory Development Kit (PMDK)Design and optimize data structures for persistent memoryStudy how real-world applications are modified to leverage persistent memoryUtilize the tools available for persistent memory programming, application performance profiling, and debugging Who This Book Is For C, C++, Java, and Python developers, but will also be useful to software, cloud, and hardware architects across a broad spectrum of sectors, including cloud service providers, independent software vendors, high performance compute, artificial intelligence, data analytics, big data, etc.

Author : Khaled Salah Mohamed
Publisher : Springer Nature
Page : 241 pages
File Size : 40,8 Mb
Release : 2020-01-25
Category : Technology & Engineering
ISBN : 9783030372248

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Neuromorphic Computing and Beyond by Khaled Salah Mohamed Pdf

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 : David W. Walker,Quentin F. Stout
Publisher : Unknown
Page : 662 pages
File Size : 52,6 Mb
Release : 1990
Category : Computers
ISBN : UOM:39015023289906

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Proceedings of the Fifth Distributed Memory Computing Conference: Applications by David W. Walker,Quentin F. Stout Pdf