Search

This easy-to-read, hands-on guide demystifies concurrency concepts like threading, asynchronous programming, and parallel processing in any language.Perplexed by concurrency? Don't be. This engaging, fully-illustrated beginner's guide gets you writing the kind of high-performance code your apps deserve. Inside, you'll find thorough explanations of concurrency's core concepts—all explained with interesting illustrations, insightful examples, and detailed techniques you can apply to your own projects. In Grokking Concurrency you will: Get up to speed with the core concepts of concurrency, asynchrony, and parallel programming Learn the strengths and weaknesses of different hardware architectures Improve the sequential performance characteristics of your software Solve common problems for concurrent programming Compose patterns into a series of practices for writing scalable systems Write and implement concurrency systems that scale to any size Discover effective concurrency practices that will help you leverage multiple cores, excel with high loads, handle terabytes of data, and continue working after hardware and software failures. The core concepts in this guide will remain eternally relevant, whether you're building web apps, IoT systems, or handling big data. About the technology Concurrency is an approach to running computer programs efficiently by separating them into tasks that can execute independently. This basic idea makes it possible to accelerate game graphics, train large AI models, rapidly scale web applications, streamline big data processing, and much more. Concurrency can get complicated, so this book gets you started gently with interesting examples, entertaining illustrations, and easy-to-follow Python code. About the book Grokking Concurrency is a perfectly paced introduction to the fundamentals of concurrent, parallel, and asynchronous programming. In it, you'll learn the practices you'll need to program multicore processors, GPUs, and other high-performance systems. Author Kirill Bobrov skips the math, jargon, and academic language and concentrates on clear, plain-English explanations. What's inside Writing and running concurrent programs Patterns for performance, scalability, and resilience Choosing the right hardware Asynchronous communication About the reader Examples in Python. No prior experience with concurrency or high-performance computing required. About the author Kirill Bobrov is a software engineer with a passion for data engineering. Table of Contents Part 1 The Octopus Orchestra: Introduction to a Symphony of Concurrency 1 Introducing concurrency 2 Serial and parallel execution 3 How computers work 4 Building blocks of concurrency 5 Interprocess communication Part 2 the Many Tentacles of Concurrency: Multitasking, Decomposition, and Synchronization 6 Multitasking 7 Decomposition 8 Solving concurrency problems: Race conditions and synchronization 9 Solving concurrency problems: Deadlocks and starvation Part 3 Asynchronous Octopuses: a Pizza-making Tale of Concurrency 10 Nonblocking I/O 11 Event-based concurrency 12 Asynchronous communication 13 Writing concurrent applications

Traditionally, JavaScript has been a single-threaded language. Nearly all online forum posts, books, online documentation, and libraries refer to the language as single threaded. Thanks to recent advancements in the language--such as the Atomics and SharedArrayBuffers objects and Web Workers in the browser--JavaScript is now a multi-threaded language. These features will go down as being the biggest paradigm shift for the world's most popular programming language.Multithreaded JavaScript explores the various features that JavaScript runtimes have at their disposal for implementing multithreaded programming, providing both practical real-world examples, as well as reference material.Learn what multithreaded programming is and how you can benefit from itUnderstand the differences between a web worker, a service worker, and a worker threadKnow when and when not to use threads in an applicationOrchestrate communication between threads by leveraging the Atomics objectBuild high-performance applications using the knowledge you gain from this bookBenchmark performance to learn if you'll benefit from multithreading

Your software needs to leverage multiple cores, handle thousands of users and terabytes of data, and continue working in the face of both hardware and software failure. Concurrency and parallelism are the keys, and Seven Concurrency Models in Seven Weeks equips you for this new world. See how emerging technologies such as actors and functional programming address issues with traditional threads and locks development. Learn how to exploit the parallelism in your computer's GPU and leverage clusters of machines with MapReduce and Stream Processing. And do it all with the confidence that comes from using tools that help you write crystal clear, high-quality code.This book will show you how to exploit different parallel architectures to improve your code's performance, scalability, and resilience. You'll learn about seven concurrency models: threads and locks, functional programming, separating identity and state, actors, sequential processes, data parallelism, and the lambda architecture.Learn about the perils of traditional threads and locks programming and how to overcome them through careful design and by working with the standard library. See how actors enable software running on geographically distributed computers to collaborate, handle failure, and create systems that stay up 24/7/365. Understand why shared mutable state is the enemy of robust concurrent code, and see how functional programming together with technologies such as Software Transactional Memory (STM) and automatic parallelism help you tame it.You'll learn about the untapped potential within every GPU and how GPGPU software can unleash it. You'll see how to use MapReduce to harness massive clusters to solve previously intractable problems, and how, in concert with Stream Processing, big data can be tamed. With an understanding of the strengths and weaknesses of each of the different models and hardware architectures, you'll be empowered to tackle any problem with confidence.What You Need:The example code can be compiled and executed on •nix, OS X, or Windows. Instructions on how to download the supporting build systems are given in each chapter.

Multicore microprocessors are now at the heart of nearly all desktop and laptop computers. While these chips offer exciting opportunities for the creation of newer and faster applications, they also challenge students and educators. How can the new generation of computer scientists growing up with multicore chips learn to program applications that exploit this latent processing power? This unique book is an attempt to introduce concurrent programming to first-year computer science students, much earlier than most competing products.This book assumes no programming background but offers a broad coverage of Java. It includes over 150 numbered and numerous inline examples as well as more than 300 exercises categorized as'conceptual,''programming,'and'experiments.'The problem-oriented approach presents a problem, explains supporting concepts, outlines necessary syntax, and finally provides its solution. All programs in the book are available for download and experimentation. A substantial index of at least 5000 entries makes it easy for readers to locate relevant information.In a fast-changing field, this book is continually updated and refined. The 2014 version is the seventh'draft edition'of this volume, and features numerous revisions based on student feedback.A list of errata for this version can be found on the Purdue University Department of Computer Science website.

From the basics of programming in the Qshell on iSeries to complete coverage of previously undocumented topics, programmers will not only learn the Qshell more easily than they can with the Qshell manual from IBM, they will also learn practical applications of using the Qshell effectively. Written for users who are more comfortable with DDS, CL, and RPG as well as those using modern languages such as C and Java, this book allows those who are unfamiliar with Unix to easily learn this technology, which otherwise might be foreign to them. Although written specifically for iSeries programmers, the information gleaned here will be largely applicable to the shells for Linux and Unix, so programmers not familiar with those platforms will find those shells much easier to learn after learning Qshell.