High-performance Java Platform Computing PDF Download
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Author: Thomas W. Christopher
Publisher: Prentice Hall
ISBN:
Category : Computers
Languages : en
Pages : 440
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Book Description
PLEASE PROVIDE COURSE INFORMATION PLEASE PROVIDE
Author: Thomas W. Christopher
Publisher: Prentice Hall
ISBN:
Category : Computers
Languages : en
Pages : 440
Get Book Here
Book Description
PLEASE PROVIDE COURSE INFORMATION PLEASE PROVIDE
Author: Steve Wilson
Publisher: Addison-Wesley Professional
ISBN:
Category : Computers
Languages : en
Pages : 266
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Book Description
Drawing on the authors knowledge of the Java programming language and their extensive experience working on performance issues, the book reveals common mistakes and misconceptions concerning the performance characteristics of Java technologies. It offers overall development strategies and concrete, battle-tested techniques to dramatically improve the performance of applications constructed with the Java programming language. Java Platform Performance highlights the importance of integrating performance evaluation into the application development process and discusses measurement techniques. The book then presents practical tactics for enhancing application performance in the areas of I/O, RAM footprint, small object management, algorithms, data structures, Swing, and deployment. Specific topics covered include: *Incorporating performance evaluation into the development process *Profiling and benchmarking *Building scalable, fast Swing GUIs *Using high-speed I/O *Computing and controlling the RAM footprint *Reducing the number of classes *Eliminating temporary objects *Selecting high-performance algorithms and data structures *Using Java native code and applet packaging efficiently
Author: Scott Oaks
Publisher: "O'Reilly Media, Inc."
ISBN: 1449363547
Category : Computers
Languages : en
Pages : 425
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Book Description
Coding and testing are often considered separate areas of expertise. In this comprehensive guide, author and Java expert Scott Oaks takes the approach that anyone who works with Java should be equally adept at understanding how code behaves in the JVM, as well as the tunings likely to help its performance. You’ll gain in-depth knowledge of Java application performance, using the Java Virtual Machine (JVM) and the Java platform, including the language and API. Developers and performance engineers alike will learn a variety of features, tools, and processes for improving the way Java 7 and 8 applications perform. Apply four principles for obtaining the best results from performance testing Use JDK tools to collect data on how a Java application is performing Understand the advantages and disadvantages of using a JIT compiler Tune JVM garbage collectors to affect programs as little as possible Use techniques to manage heap memory and JVM native memory Maximize Java threading and synchronization performance features Tackle performance issues in Java EE and Java SE APIs Improve Java-driven database application performance
Author: Dino Quintero
Publisher: IBM Redbooks
ISBN: 0738440752
Category : Computers
Languages : en
Pages : 176
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Book Description
This IBM® Redbooks® publication is a refresh of IBM Technical Computing Clouds, SG24-8144, Enhance Inbound and Outbound Marketing with a Trusted Single View of the Customer, SG24-8173, and IBM Platform Computing Integration Solutions, SG24-8081, with a focus on High Performance and Technical Computing on IBM Power SystemsTM. This book describes synergies across the IBM product portfolio by using case scenarios and showing solutions such as IBM SpectrumTM Scale (formerly GPFSTM). This book also reflects and documents the IBM Platform Computing Cloud Services as part of IBM Platform Symphony® for analytics workloads and IBM Platform LSF® (with new features, such as a Hadoop connector, a MapReduce accelerator, and dynamic cluster) for job scheduling. Both products are used to help customers schedule and analyze large amounts of data for business productivity and competitive advantages. This book is targeted at technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) that are responsible for delivering cost-effective cloud services and big data solutions on IBM Power Systems to uncover insights among client data so that they can take actions to optimize business results, product development, and scientific discoveries.
Author: Rajkumar Buyya
Publisher: Prentice Hall
ISBN:
Category : Computers
Languages : en
Pages : 904
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Book Description
An authoritative guide to today's revolution in "commodity supercomputing, " this book brings together more than 100 of the field's leading practitioners, providing a single source for up-to-the-minute information on virtually every key system issue associated with high-performance cluster computing.
Author: Rajkumar Buyya
Publisher:
ISBN:
Category : High performance computing
Languages : en
Pages : 696
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Book Description
This book offers experts on programming and applications for "commodity supercomputers." It is organized into three areas: programming environments and development tools, Java for high performance computing, and algorithms and applications. These three areas have seen major advances in recent years, and this book addresses these subjects with breadth and depth. For developers, researchers, administrators, managers, and users interested in the future of computing.
Author: Dino Quintero
Publisher: IBM Redbooks
ISBN: 0738437484
Category : Computers
Languages : en
Pages : 370
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Book Description
This IBM® Platform Computing Solutions Redbooks® publication is the first book to describe each of the available offerings that are part of the IBM portfolio of Cloud, analytics, and High Performance Computing (HPC) solutions for our clients. This IBM Redbooks publication delivers descriptions of the available offerings from IBM Platform Computing that address challenges for our clients in each industry. We include a few implementation and testing scenarios with selected solutions. This publication helps strengthen the position of IBM Platform Computing solutions with a well-defined and documented deployment model within an IBM System x® environment. This deployment model offers clients a planned foundation for dynamic cloud infrastructure, provisioning, large-scale parallel HPC application development, cluster management, and grid applications. This IBM publication is targeted to IT specialists, IT architects, support personnel, and clients. This book is intended for anyone who wants information about how IBM Platform Computing solutions use IBM to provide a wide array of client solutions.
Author: Ivo Balbaert
Publisher: Packt Publishing Ltd
ISBN: 1787126102
Category : Computers
Languages : en
Pages : 697
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Book Description
Leverage the power of Julia to design and develop high performing programs About This Book Get to know the best techniques to create blazingly fast programs with Julia Stand out from the crowd by developing code that runs faster than your peers' code Complete an extensive data science project through the entire cycle from ETL to analytics and data visualization Who This Book Is For This learning path is for data scientists and for all those who work in technical and scientific computation projects. It will be great for Julia developers who are interested in high-performance technical computing. This learning path assumes that you already have some basic working knowledge of Julia's syntax and high-level dynamic languages such as MATLAB, R, Python, or Ruby. What You Will Learn Set up your Julia environment to achieve the highest productivity Solve your tasks in a high-level dynamic language and use types for your data only when needed Apply Julia to tackle problems concurrently and in a distributed environment Get a sense of the possibilities and limitations of Julia's performance Use Julia arrays to write high performance code Build a data science project through the entire cycle of ETL, analytics, and data visualization Display graphics and visualizations to carry out modeling and simulation in Julia Develop your own packages and contribute to the Julia Community In Detail In this learning path, you will learn to use an interesting and dynamic programming language—Julia! You will get a chance to tackle your numerical and data problems with Julia. You'll begin the journey by setting up a running Julia platform before exploring its various built-in types. We'll then move on to the various functions and constructs in Julia. We'll walk through the two important collection types—arrays and matrices in Julia. You will dive into how Julia uses type information to achieve its performance goals, and how to use multiple dispatch to help the compiler emit high performance machine code. You will see how Julia's design makes code fast, and you'll see its distributed computing capabilities. By the end of this learning path, you will see how data works using simple statistics and analytics, and you'll discover its high and dynamic performance—its real strength, which makes it particularly useful in highly intensive computing tasks. This learning path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: Getting Started with Julia by Ivo Balvaert Julia High Performance by Avik Sengupta Mastering Julia by Malcolm Sherrington Style and approach This hands-on manual will give you great explanations of the important concepts related to Julia programming.
Author: Sun-Chong Wang
Publisher: Springer Science & Business Media
ISBN: 1461503779
Category : Computers
Languages : en
Pages : 268
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Book Description
Books on computation in the marketplace tend to discuss the topics within specific fields. Many computational algorithms, however, share common roots. Great advantages emerge if numerical methodologies break the boundaries and find their uses across disciplines. Interdisciplinary Computing In Java Programming Language introduces readers of different backgrounds to the beauty of the selected algorithms. Serious quantitative researchers, writing customized codes for computation, enjoy cracking source codes as opposed to the black-box approach. Most C and Fortran programs, despite being slightly faster in program execution, lack built-in support for plotting and graphical user interface. This book selects Java as the platform where source codes are developed and applications are run, helping readers/users best appreciate the fun of computation. Interdisciplinary Computing In Java Programming Language is designed to meet the needs of a professional audience composed of practitioners and researchers in science and technology. This book is also suitable for senior undergraduate and graduate-level students in computer science, as a secondary text.
Author: Dr. Edward Lavieri Jr.
Publisher: Packt Publishing Ltd
ISBN: 1835462553
Category : Computers
Languages : en
Pages : 307
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Book Description
Take your Java programming skills to the next level and learn to overcome real-world challenges to optimize application performance Key Features Leverage key features of the Java Virtual Machine to maximize runtime performance Unlock optimization strategies to effectively manage objects and memory use Apply your knowledge to utilize frameworks and libraries ripe for increasing program performance Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionBuilding high performance into your applications is key to creating an optimal user experience, although it is not the only consideration for the performant nature of your apps. High performance applications can lead to cost-effective resource utilization, especially when scalability and cloud computing are involved. They can also provide highly reliable systems that are easier to maintain. High Performance with Java begins by helping you explore the Java Virtual Machine (JVM) and understand how to push it to its limits to further optimize your programs. You’ll take a hands-on approach to go through memory optimization strategies, input/output operations, concurrency, networking, as well as frameworks and libraries focused on performance. You’ll also learn key strategies and best practices by using industry-relevant examples to architect scalable and resource-efficient applications. The concluding chapters provide valuable insights on optimizing your Java code when interacting with databases and show you how to leverage artificial intelligence (AI) for high performance Java applications. By the end of this book, you’ll grasp the importance of developing high performance Java applications and gain practical experience in implementing key strategies to help ensure your Java applications perform optimally.What you will learn Explore optimization strategies for garbage collection and the JIT compiler Discover best practices when using data structures for high performance Test and compare various approaches to using loops Understand how and when to use object pooling Discern the difference between low-performance and high-performance algorithms Uncover strategies for object creation and immutability to improve performance Gain hands-on experience in avoiding memory leaks Who this book is for This book is for developers, software engineers, and software architects looking to take their Java skills to the next level. Aimed at individuals with a string grasp of Java fundamentals, this book is a practical guide to helping you write high-performing applications.
