Swift High Performance

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Swift High Performance

Author : Kostiantyn Koval
Publisher : Packt Publishing Ltd
Page : 212 pages
File Size : 51,5 Mb
Release : 2015-11-06
Category : Computers
ISBN : 9781785284960

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Swift High Performance by Kostiantyn Koval Pdf

Leverage Swift and enhance your code to take your applications to the next level About This Book Build solid, high performance applications in Swift Increase your efficiency by getting to grips with concurrency and parallel programming Use Swift to design performance-oriented solutions Who This Book Is For This book is aimed at experienced Swift developers wanting to optimize their programs on Apple platforms to optimize application performance. What You Will Learn Build solid, stable, and reliable applications using Swift Use REPL and Pl to manage and configure relational databases Explore Swift's features including its static type system, value objects, and functional programming Design reusable code for high performance in Swift Use to Xcode LLBD and REPL to debug commands Avoid sharing resources by using concurrency and parallel programming Understand the lazy loading pattern, lazy sequences, and lazy evolution. In Detail Swift is one of the most popular and powerful programming languages for building iOS and Mac OS applications, and continues to evolve with new features and capabilities. Swift is considered a replacement to Objective-C and has performance advantages over Objective-C and Python. Swift adopts safe programming patterns and adds modern features to make programming easier, more flexible, and more fun. Develop Swift and discover best practices that allow you to build solid applications and optimize their performance. First, a few of performance characteristics of Swift will be explained. You will implement new tools available in Swift, including Playgrounds and REPL. These will improve your code efficiency, enable you to analyse Swift code, and enhance performance. Next, the importance of building solid applications using multithreading concurrency and multi-core device architecture is covered, before moving on to best practices and techniques that you should utilize when building high performance applications, such as concurrency and lazy-loading. Finally, you will explore the underlying structure of Swift further, and learn how to disassemble and compile Swift code. Style and approach This is a comprehensive guide to enhancing Swift programming techniques and methodology to enable faster application development.

New Frontiers in High Performance Computing and Big Data

Author : G. Fox,V. Getov,L. Grandinetti
Publisher : IOS Press
Page : 272 pages
File Size : 41,6 Mb
Release : 2017-11-14
Category : Computers
ISBN : 9781614998167

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New Frontiers in High Performance Computing and Big Data by G. Fox,V. Getov,L. Grandinetti Pdf

For the last four decades, parallel computing platforms have increasingly formed the basis for the development of high performance systems primarily aimed at the solution of intensive computing problems, and the application of parallel computing systems has also become a major factor in furthering scientific research. But such systems also offer the possibility of solving the problems encountered in the processing of large-scale scientific data sets, as well as in the analysis of Big Data in the fields of medicine, social media, marketing, economics etc. This book presents papers from the International Research Workshop on Advanced High Performance Computing Systems, held in Cetraro, Italy, in July 2016. The workshop covered a wide range of topics and new developments related to the solution of intensive and large-scale computing problems, and the contributions included in this volume cover aspects of the evolution of parallel platforms and highlight some of the problems encountered with the development of ever more powerful computing systems. The importance of future large-scale data science applications is also discussed. The book will be of particular interest to all those involved in the development or application of parallel computing systems.

High-Performance Big Data Computing

Author : Dhabaleswar K. Panda,Xiaoyi Lu,Dipti Shankar
Publisher : MIT Press
Page : 275 pages
File Size : 43,9 Mb
Release : 2022-08-02
Category : Computers
ISBN : 9780262046855

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High-Performance Big Data Computing by Dhabaleswar K. Panda,Xiaoyi Lu,Dipti Shankar Pdf

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.

High Performance Computing

Author : Michèle Weiland,Guido Juckeland,Sadaf Alam,Heike Jagode
Publisher : Springer Nature
Page : 682 pages
File Size : 48,8 Mb
Release : 2019-12-02
Category : Computers
ISBN : 9783030343569

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High Performance Computing by Michèle Weiland,Guido Juckeland,Sadaf Alam,Heike Jagode Pdf

This book constitutes the refereed post-conference proceedings of 13 workshops held at the 34th International ISC High Performance 2019 Conference, in Frankfurt, Germany, in June 2019: HPC I/O in the Data Center (HPC-IODC), Workshop on Performance & Scalability of Storage Systems (WOPSSS), Workshop on Performance & Scalability of Storage Systems (WOPSSS), 13th Workshop on Virtualization in High-Performance Cloud Computing (VHPC '18), 3rd International Workshop on In Situ Visualization: Introduction and Applications, ExaComm: Fourth International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale, International Workshop on OpenPOWER for HPC (IWOPH18), IXPUG Workshop: Many-core Computing on Intel, Processors: Applications, Performance and Best-Practice Solutions, Workshop on Sustainable Ultrascale Computing Systems, Approximate and Transprecision Computing on Emerging Technologies (ATCET), First Workshop on the Convergence of Large Scale Simulation and Artificial Intelligence, 3rd Workshop for Open Source Supercomputing (OpenSuCo), First Workshop on Interactive High-Performance Computing, Workshop on Performance Portable Programming Models for Accelerators (P^3MA). The 48 full papers included in this volume were carefully reviewed and selected. They cover all aspects of research, development, and application of large-scale, high performance experimental and commercial systems. Topics include HPC computer architecture and hardware; programming models, system software, and applications; solutions for heterogeneity, reliability, power efficiency of systems; virtualization and containerized environments; big data and cloud computing; and artificial intelligence.

Full Stack iOS Development with Swift and Vapor

Author : Hem Dutt
Publisher : BPB Publications
Page : 263 pages
File Size : 48,8 Mb
Release : 2023-06-17
Category : Computers
ISBN : 9789355518323

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Full Stack iOS Development with Swift and Vapor by Hem Dutt Pdf

A step-by-step journey into full-stack iOS development with Swift and Vapor KEY FEATURES ● Learn how to leverage Vapor to build robust backend systems for your iOS applications. ● Seamlessly integrate frontend and backend components in your full-stack iOS application. ● Learn to configure servers and successfully launch your app in a live environment. DESCRIPTION Full-stack iOS applications combine frontend and backend development to create powerful and versatile mobile experiences, providing users with rich functionality and reliable data management. If you're interested in building full stack iOS applications, this book is a perfect fit for you. To embark on your full stack iOS development journey, the book initiates by installing the Vapor Toolbox and Xcode, equipping you with essential tools for swift progress in constructing complete projects. Through a practical approach, the book will help you navigate the intricacies of routing, implementing security measures, seamlessly integrating data, managing data effectively, and generating server-side JSON responses. As you delve deeper into the book, your expertise will expand to encompass the vast ecosystem of iOS app development, including features such as UIKit with Auto-layout, SwiftUI, Core Data, and more. Furthermore, this book serves as your guiding companion, embracing the potential of comprehensive instruction and unveiling the secrets of successful full stack iOS development. It empowers you to unleash your capabilities by understanding the complexities of bridging backend and front-end technologies. With its extensive coverage, the guide empowers you to overcome obstacles such as data storage, performance optimization, and security. By providing you with the necessary expertise and resources, this book enables you to build impressive, secure, and scalable full stack iOS applications. WHAT YOU WILL LEARN ● Learn the process of setting up a Vapor project, including routing, controller creation, and middleware implementation. ● Discover how to interact with databases using the Fluent ORM, defining models, and relationships, and performing CRUD operations. ● Learn how to design user interfaces using SwiftUI, implementing navigation and user interaction in your iOS app. ● Learn to effectively communicate with web services and APIs. ● Understand the process of deploying your full stack iOS application. WHO THIS BOOK IS FOR This book is for aspiring developers, students, and experienced iOS developers who are skilled in Swift and looking to delve into full stack development. TABLE OF CONTENTS 1. Full-stack Development Overview 2. Setting Up the Environment 3. Routing, MVC and JSON in Vapor 4. Async and HTML Rendering in Vapor 5. PostgreSQL Integration in Vapor 6. Building User Interfaces for iOS 7. Data Persistence with Core Data and SQLite in iOS 8. Full Stack Implementation 9. Advanced Full-stack Concepts 10. Deploying iOS and Vapor Applications

Big Data and High Performance Computing

Author : L. Grandinetti,G.R. Joubert,M. Kunze
Publisher : IOS Press
Page : 168 pages
File Size : 50,8 Mb
Release : 2015-10-20
Category : Computers
ISBN : 9781614995838

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Big Data and High Performance Computing by L. Grandinetti,G.R. Joubert,M. Kunze Pdf

Big Data has been much in the news in recent years, and the advantages conferred by the collection and analysis of large datasets in fields such as marketing, medicine and finance have led to claims that almost any real world problem could be solved if sufficient data were available. This is of course a very simplistic view, and the usefulness of collecting, processing and storing large datasets must always be seen in terms of the communication, processing and storage capabilities of the computing platforms available. This book presents papers from the International Research Workshop, Advanced High Performance Computing Systems, held in Cetraro, Italy, in July 2014. The papers selected for publication here discuss fundamental aspects of the definition of Big Data, as well as considerations from practice where complex datasets are collected, processed and stored. The concepts, problems, methodologies and solutions presented are of much more general applicability than may be suggested by the particular application areas considered. As a result the book will be of interest to all those whose work involves the processing of very large data sets, exascale computing and the emerging fields of data science

High-Performance Computing in Finance

Author : M. A. H. Dempster,Juho Kanniainen,John Keane,Erik Vynckier
Publisher : CRC Press
Page : 637 pages
File Size : 48,7 Mb
Release : 2018-02-21
Category : Computers
ISBN : 9781482299670

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High-Performance Computing in Finance by M. A. H. Dempster,Juho Kanniainen,John Keane,Erik Vynckier Pdf

High-Performance Computing (HPC) delivers higher computational performance to solve problems in science, engineering and finance. There are various HPC resources available for different needs, ranging from cloud computing– that can be used without much expertise and expense – to more tailored hardware, such as Field-Programmable Gate Arrays (FPGAs) or D-Wave’s quantum computer systems. High-Performance Computing in Finance is the first book that provides a state-of-the-art introduction to HPC for finance, capturing both academically and practically relevant problems.

High Performance Embedded Architectures and Compilers

Author : Yale N. Patt,Pierfrancesco Foglia,Evelyn Duesterwald,Paolo Faraboschi,Xavier Martorell
Publisher : Springer
Page : 370 pages
File Size : 42,7 Mb
Release : 2010-01-21
Category : Computers
ISBN : 9783642115158

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High Performance Embedded Architectures and Compilers by Yale N. Patt,Pierfrancesco Foglia,Evelyn Duesterwald,Paolo Faraboschi,Xavier Martorell Pdf

This book constitutes the refereed proceedings of the 5th International Conference on High Performance Embedded Architectures and Compilers, HiPEAC 2010, held in Pisa, Italy, in January 2010. The 23 revised full papers presented together with the abstracts of 2 invited keynote addresses were carefully reviewed and selected from 94 submissions. The papers are organized in topical sections on architectural support for concurrency; compilation and runtime systems; reconfigurable and customized architectures; multicore efficiency, reliability, and power; memory organization and optimization; and programming and analysis of accelerators.

High Performance IOS Apps

Author : Gaurav Vaish
Publisher : "O'Reilly Media, Inc."
Page : 464 pages
File Size : 55,9 Mb
Release : 2016-06-16
Category : Computers
ISBN : 9781491911150

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High Performance IOS Apps by Gaurav Vaish Pdf

Now that more people spend more time interacting with mobile apps than with their desktop counterparts, you need to think about your iOS app's performance the moment you write your first line of code. This practical hands-on guide shows you how. Through specific and concise tips for designing and optimizing your apps, author Gaurav Vaish provides solutions to many common performance scenarios, including reusable code that you can put to work right away.

Advances in Embedded and Fan-Out Wafer Level Packaging Technologies

Author : Beth Keser,Steffen Kröhnert
Publisher : John Wiley & Sons
Page : 576 pages
File Size : 47,5 Mb
Release : 2019-02-20
Category : Technology & Engineering
ISBN : 9781119313977

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Advances in Embedded and Fan-Out Wafer Level Packaging Technologies by Beth Keser,Steffen Kröhnert Pdf

Examines the advantages of Embedded and FO-WLP technologies, potential application spaces, package structures available in the industry, process flows, and material challenges Embedded and fan-out wafer level packaging (FO-WLP) technologies have been developed across the industry over the past 15 years and have been in high volume manufacturing for nearly a decade. This book covers the advances that have been made in this new packaging technology and discusses the many benefits it provides to the electronic packaging industry and supply chain. It provides a compact overview of the major types of technologies offered in this field, on what is available, how it is processed, what is driving its development, and the pros and cons. Filled with contributions from some of the field's leading experts,Advances in Embedded and Fan-Out Wafer Level Packaging Technologies begins with a look at the history of the technology. It then goes on to examine the biggest technology and marketing trends. Other sections are dedicated to chip-first FO-WLP, chip-last FO-WLP, embedded die packaging, materials challenges, equipment challenges, and resulting technology fusions. Discusses specific company standards and their development results Content relates to practice as well as to contemporary and future challenges in electronics system integration and packaging Advances in Embedded and Fan-Out Wafer Level Packaging Technologies will appeal to microelectronic packaging engineers, managers, and decision makers working in OEMs, IDMs, IFMs, OSATs, silicon foundries, materials suppliers, equipment suppliers, and CAD tool suppliers. It is also an excellent book for professors and graduate students working in microelectronic packaging research.

Air Pollution Control

Author : Howard D. Hesketh
Publisher : CRC Press
Page : 516 pages
File Size : 42,9 Mb
Release : 1996-03-14
Category : Nature
ISBN : 1566764130

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Air Pollution Control by Howard D. Hesketh Pdf

Since the first edition was printed in 1991, there have only been minor changes in air regulations. The opposing "trenches" used by environmental regulation proponents have deepened as each side increases their database. Agencies and environmental groups have backed off a little in issues such as bubble policies and enforcement time tables. This has made it extremely difficult for equipment vendors to anticipate industry requirements. Overall, the current market projections are not very favorable for the new equipment suppliers. In contrast, the service organizations are seeing increasing need for their help in areas such as dispersion modeling, troubleshooting and testing. Existing systems are being improved upon to keep them in operation. There remains a continuous need for up-to-date references and training materials to serve these needs, and it is for this purpose this revised edition is dedicated.

Advanced Swift

Author : Chris Eidhof,Airspeed Velocity
Publisher : Createspace Independent Publishing Platform
Page : 0 pages
File Size : 43,6 Mb
Release : 2016-03-18
Category : Swift (Computer program language)
ISBN : 1523831715

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Advanced Swift by Chris Eidhof,Airspeed Velocity Pdf

Advanced Swift takes you through Swift's features, from low-level programming to high-level abstractions. In this book, we'll write about advanced concepts in Swift programming. If you have read the Swift Programming Guide, and want to explore more, this book is for you. Swift is a great language for systems programming, but also lends itself for very high-level programming. We'll explore both high-level topics (for example, programming with generics and protocols), as well as low-level topics (for example, wrapping a C library and string internals).

Hands-On Server-Side Web Development with Swift

Author : Angus Yeung
Publisher : Packt Publishing Ltd
Page : 392 pages
File Size : 41,5 Mb
Release : 2018-11-30
Category : Computers
ISBN : 9781789345865

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Hands-On Server-Side Web Development with Swift by Angus Yeung Pdf

Take advantage of using the same programming language for both server and client-side with this hands-on book for building web applications with Swift. Key FeaturesBuild a full-stack iOS and web applications using Swift, Vapor, and Kitura FrameworkLeverage ORM abstraction drivers to make queries to SQL databaseDevelop your very own containerized microservices with Swift, Docker and KubernetesBook Description This book is about building professional web applications and web services using Swift 4.0 and leveraging two popular Swift web frameworks: Vapor 3.0 and Kitura 2.5. In the first part of this book, we’ll focus on the creation of basic web applications from Vapor and Kitura boilerplate projects. As the web apps start out simple, more useful techniques, such as unit test development, debugging, logging, and the build and release process, will be introduced to readers. In the second part, we’ll learn different aspects of web application development with server-side Swift, including setting up routes and controllers to process custom client requests, working with template engines such as Leaf and Stencil to create dynamic web content, beautifying the content with Bootstrap, managing user access with authentication framework, and leveraging the Object Relational Mapping (ORM) abstraction layer (Vapor’s Fluent and Kitura’s Kuery) to perform database operations. Finally, in the third part, we’ll develop web services in Swift and build our API Gateway, microservices and database backend in a three-tier architecture design. Readers will learn how to design RESTful APIs, work with asynchronous processes, and leverage container technology such as Docker in deploying microservices to cloud hosting services such as Vapor Cloud and IBM Cloud. What you will learnBuild simple web apps using Vapor 3.0 and Kitura 2.5Test, debug, build, and release server-side Swift applicationsDesign routes and controllers for custom client requestsWork with server-side template enginesDeploy web apps to a host in the cloudEnhance web content with BootstrapManage user access using authentication frameworkDesign for API gatewayDevelop an iPhone app to work with web servicesDeploy your app as a microservice in a clusterDeploy Swift web services with a RESTful API designWho this book is for This book is about building professional web applications and web services using Swift and leveraging two popular Swift web frameworks: Vapor 3.0 and Kitura 2.5. We assume the readers to have some working knowledge of Swift programming language. The readers could be beginners of Swift programming, seasonal iOS or macOS developers, or software developers who want to work on practical Swift applications while learning the language itself. By the end of the book, you would be able to successfully create your own web applications and web services by leveraging the powerful ecosystem of Swift.

Intel Xeon Phi Processor High Performance Programming

Author : James Jeffers,James Reinders,Avinash Sodani
Publisher : Morgan Kaufmann
Page : 662 pages
File Size : 53,5 Mb
Release : 2016-05-31
Category : Computers
ISBN : 9780128091951

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Intel Xeon Phi Processor High Performance Programming by James Jeffers,James Reinders,Avinash Sodani Pdf

This book is an all-in-one source of information for programming the Second-Generation Intel Xeon Phi product family also called Knights Landing. The authors provide detailed and timely Knights Landingspecific details, programming advice, and real-world examples. The authors distill their years of Xeon Phi programming experience coupled with insights from many expert customers — Intel Field Engineers, Application Engineers, and Technical Consulting Engineers — to create this authoritative book on the essentials of programming for Intel Xeon Phi products. Intel® Xeon PhiTM Processor High-Performance Programming is useful even before you ever program a system with an Intel Xeon Phi processor. To help ensure that your applications run at maximum efficiency, the authors emphasize key techniques for programming any modern parallel computing system whether based on Intel Xeon processors, Intel Xeon Phi processors, or other high-performance microprocessors. Applying these techniques will generally increase your program performance on any system and prepare you better for Intel Xeon Phi processors. A practical guide to the essentials for programming Intel Xeon Phi processors Definitive coverage of the Knights Landing architecture Presents best practices for portable, high-performance computing and a familiar and proven threads and vectors programming model Includes real world code examples that highlight usages of the unique aspects of this new highly parallel and high-performance computational product Covers use of MCDRAM, AVX-512, Intel® Omni-Path fabric, many-cores (up to 72), and many threads (4 per core) Covers software developer tools, libraries and programming models Covers using Knights Landing as a processor and a coprocessor

Programming Models for Parallel Computing

Author : Pavan Balaji
Publisher : MIT Press
Page : 488 pages
File Size : 47,8 Mb
Release : 2015-11-06
Category : Computers
ISBN : 9780262528818

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Programming Models for Parallel Computing by Pavan Balaji Pdf

An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style. With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and supercomputing systems. Programming parallel systems is complicated by the fact that multiple processing units are simultaneously computing and moving data. This book offers an overview of some of the most prominent parallel programming models used in high-performance computing and supercomputing systems today. The chapters describe the programming models in a unique tutorial style rather than using the formal approach taken in the research literature. The aim is to cover a wide range of parallel programming models, enabling the reader to understand what each has to offer. The book begins with a description of the Message Passing Interface (MPI), the most common parallel programming model for distributed memory computing. It goes on to cover one-sided communication models, ranging from low-level runtime libraries (GASNet, OpenSHMEM) to high-level programming models (UPC, GA, Chapel); task-oriented programming models (Charm++, ADLB, Scioto, Swift, CnC) that allow users to describe their computation and data units as tasks so that the runtime system can manage computation and data movement as necessary; and parallel programming models intended for on-node parallelism in the context of multicore architecture or attached accelerators (OpenMP, Cilk Plus, TBB, CUDA, OpenCL). The book will be a valuable resource for graduate students, researchers, and any scientist who works with data sets and large computations. Contributors Timothy Armstrong, Michael G. Burke, Ralph Butler, Bradford L. Chamberlain, Sunita Chandrasekaran, Barbara Chapman, Jeff Daily, James Dinan, Deepak Eachempati, Ian T. Foster, William D. Gropp, Paul Hargrove, Wen-mei Hwu, Nikhil Jain, Laxmikant Kale, David Kirk, Kath Knobe, Ariram Krishnamoorthy, Jeffery A. Kuehn, Alexey Kukanov, Charles E. Leiserson, Jonathan Lifflander, Ewing Lusk, Tim Mattson, Bruce Palmer, Steven C. Pieper, Stephen W. Poole, Arch D. Robison, Frank Schlimbach, Rajeev Thakur, Abhinav Vishnu, Justin M. Wozniak, Michael Wilde, Kathy Yelick, Yili Zheng