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High Performance in-memory computing with Apache Ignite

High Performance in-memory computing with Apache Ignite
Author: Shamim bhuiyan
Publisher: Lulu.com
Total Pages: 360
Release: 2017-04-08
Genre: Computers
ISBN: 1365732355
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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.

The Apache Ignite Book

The Apache Ignite Book
Author: Michael Zheludkov
Publisher: Lulu.com
Total Pages: 642
Release: 2019-02-25
Genre: Computers
ISBN: 0359439373
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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.

Apache Ignite Quick Start Guide

Apache Ignite Quick Start Guide
Author: Sujoy Acharya
Publisher: Packt Publishing Ltd
Total Pages: 253
Release: 2018-11-30
Genre: Computers
ISBN: 1789344069
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Build efficient, high-performance & scalable systems to process large volumes of data with Apache Ignite Key FeaturesUnderstand Apache Ignite's in-memory technologyCreate High-Performance app components with IgniteBuild a real-time data streaming and complex event processing systemBook Description Apache Ignite is a distributed in-memory platform designed to scale and process large volume of data. It can be integrated with microservices as well as monolithic systems, and can be used as a scalable, highly available and performant deployment platform for microservices. This book will teach you to use Apache Ignite for building a high-performance, scalable, highly available system architecture with data integrity. The book takes you through the basics of Apache Ignite and in-memory technologies. You will learn about installation and clustering Ignite nodes, caching topologies, and various caching strategies, such as cache aside, read and write through, and write behind. Next, you will delve into detailed aspects of Ignite’s data grid: web session clustering and querying data. You will learn how to process large volumes of data using compute grid and Ignite’s map-reduce and executor service. You will learn about the memory architecture of Apache Ignite and monitoring memory and caches. You will use Ignite for complex event processing, event streaming, and the time-series predictions of opportunities and threats. Additionally, you will go through off-heap and on-heap caching, swapping, and native and Spring framework integration with Apache Ignite. By the end of this book, you will be confident with all the features of Apache Ignite 2.x that can be used to build a high-performance system architecture. What you will learnUse Apache Ignite’s data grid and implement web session clusteringGain high performance and linear scalability with in-memory distributed data processingCreate a microservice on top of Apache Ignite that can scale and performPerform ACID-compliant CRUD operations on an Ignite cacheRetrieve data from Apache Ignite’s data grid using SQL, Scan and Lucene Text queryExplore complex event processing concepts and event streamingIntegrate your Ignite app with the Spring frameworkWho this book is for The book is for Big Data professionals who want to learn the essentials of Apache Ignite. Prior experience in Java is necessary.

High Performance Computing with the MOEA Framework and Ignite

High Performance Computing with the MOEA Framework and Ignite
Author: David Hadka
Publisher: Createspace Independent Publishing Platform
Total Pages: 44
Release: 2016-01-19
Genre:
ISBN: 9781523475469
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This book demonstrates how to exploit high performance computing with the MOEA Framework, from small personal computers up to large-scale supercomputers. For distributed memory computing on larger systems, we demonstrate how to use Apache Ignite to construct master-slave, island model, and hybrid parallelization architectures. The purchase of this book includes complete code samples available for download. Download link provided in text.

High-Performance Big Data Computing

High-Performance Big Data Computing
Author: Dhabaleswar K. Panda
Publisher: MIT Press
Total Pages: 275
Release: 2022-08-02
Genre: Computers
ISBN: 0262369427
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An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deployment and management; and surveys benchmarks and workloads for evaluating big data middleware systems. It presents a detailed discussion of big data computing systems and applications with high-performance networking, computing, and storage technologies, including state-of-the-art designs for data processing and storage systems. Finally, the book considers some advanced research topics in high-performance big data computing, including designing high-performance deep learning over big data (DLoBD) stacks and HPC cloud technologies.

Emerging Computing Techniques in Engineering

Emerging Computing Techniques in Engineering
Author: Matthew N. O. Sadiku
Publisher: AuthorHouse
Total Pages: 409
Release: 2022-11-17
Genre: Education
ISBN: 1665569166
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The book is divided into three volumes to cover all computing topics. This is the first volume and it has 23 chapters. It focuses on general computing techniques such as cloud computing, grid computing, pervasive computing, optical computing, web computing, parallel computing, distributed computing, high-performance computing, GPU computing, exascale & extreme computing, in-memory computing, embedded computing, quantum computing, and green computing

Mathematics and its Applications in New Computer Systems

Mathematics and its Applications in New Computer Systems
Author: Andrei Tchernykh
Publisher: Springer Nature
Total Pages: 571
Release: 2022-04-25
Genre: Computers
ISBN: 3030970205
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This book is based on the best papers accepted for presentation during the International Conference on Mathematics and its Applications in New Computer Systems (MANCS-2021), Russia. The book includes research materials on modern mathematical problems, solutions in the field of cryptography, data analysis and modular computing, as well as scientific computing. The scope of numerical methods in scientific computing presents original research, including mathematical models and software implementations, related to the following topics: numerical methods in scientific computing; solving optimization problems; methods for approximating functions, etc. The studies in mathematical solutions to cryptography issues are devoted to secret sharing schemes, public key systems, private key systems, n-degree comparisons, modular arithmetic of simple, addition of points of an elliptic curve, Hasse theorem, homomorphic encryption and learning with error, and modifications of the RSA system. Furthermore, issues in data analysis and modular computing include contributions in the field of mathematical statistics, machine learning methods, deep learning, and neural networks. Finally, the book gives insights into the fundamental problems in mathematics education. The book intends for readership specializing in the field of cryptography, information security, parallel computing, computer technology, and mathematical education.

Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI

Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI
Author: Jeffrey Nichols
Publisher: Springer Nature
Total Pages: 555
Release: 2020-12-22
Genre: Computers
ISBN: 3030633934
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This book constitutes the revised selected papers of the 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, held in Oak Ridge, TN, USA*, in August 2020. The 36 full papers and 1 short paper presented were carefully reviewed and selected from a total of 94 submissions. The papers are organized in topical sections of computational applications: converged HPC and artificial intelligence; system software: data infrastructure and life cycle; experimental/observational applications: use cases that drive requirements for AI and HPC convergence; deploying computation: on the road to a converged ecosystem; scientific data challenges. *The conference was held virtually due to the COVID-19 pandemic.

JVM Performance Engineering

JVM Performance Engineering
Author: Monica Beckwith
Publisher: Addison-Wesley Professional
Total Pages: 781
Release: 2024-05-03
Genre: Computers
ISBN: 013465997X
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Peek Under the Hood of the Complex but Fascinating Java Virtual Machine Dive into the intricacies of JVM performance with JVM Performance Engineering, the essential guide for seasoned Java developers eager to demystify the JVM. Focusing on the OpenJDK HotSpot VM, this book provides insights into cutting-edge Java performance techniques and trends. Distinguished Java Champion Monica Beckwith blends theoretical insights and practical tools--encompassing case studies, applications, use-case diagrams, and process flow charts--to demonstrate diagnostic techniques, performance methodologies, and optimizations. This manual is a portal to excelling in Java performance engineering, offering Java developers, system architects, and software engineers the tools to foster career advancement and success with Java applications. Examine the evolving Java type system, from lambda expressions to the advent of records and sealed classes, and explore how Project Valhalla aims to further optimize performance Leverage the Unified JVM Logging Interface for enhanced diagnostics, monitoring, and performance testing, featuring the novel asynchronous logging mechanism Grasp the intricate relationship between JVM and hardware, mastering end-to-end Java performance optimization techniques Gain deep insights into JVM's garbage collection and memory management, examining the pivotal Garbage First and Z GCs--and how they are shaping the Java performance landscape Explore efficient deployment strategies and techniques to accelerate JVM readiness, leveraging class data sharing, ahead-of-time compilation, and innovations like GraalVM and upcoming Project Leyden Embark on an exploration of the synergy between the JVM and exotic hardware like GPUs and FPGAs and revel in the potential of Project Panama and TornadoVM in high-computational scenarios such as machine learning and data analytics Look ahead to the future of Java concurrency with Virtual Threads, and investigate runtime optimizations of string handling and concurrency, propelling Java forward Register your product for convenient access to downloads, updates, and/or corrections as they become available. See inside for details.

Towards Industry 5.0

Towards Industry 5.0
Author: Numan M. Durakbasa
Publisher: Springer Nature
Total Pages: 903
Release: 2023-03-01
Genre: Technology & Engineering
ISBN: 3031244575
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This book contains selected papers from International Symposium for Production Research 2022, held on October 6–9, 2022, Turkey. The book reports recent advances in production engineering and operations. It explores topics including: production research; production management; operations management; industry 4.0; industrial engineering; mechanical engineering; engineering management; and operational research. Presenting real-life applications, case studies, and mathematical models, this book is of interest to researchers, academics, and practitioners in the field of production and operation engineering. It provides both the results of recent research and practical solutions to real-world problems.