Swift High Performance

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.

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.

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.

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.

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 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 (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.

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.