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.
black & white illustrations
black & white illustrations
Most Helpful Customer Reviews
It is a little different from what the title suggests - it is supposed to be about concurrency models, and it actually is, but it covers more about Clojure than concurrency models themselves. In other words, this book is mainly about how to use the concurrency models in Clojure (and why some features are/aren't included in Clojure itself). If you are familiar with Clojure, this book would be the best. If you are not, however, you can feel uneasy in many parts of this book, even if you are interested in studying it - though this book covers many features of Clojure, it is not enogh to learn Clojure with this book alone.
This book is a concise and clear picture of the major options available to solve problems of concurrency. Today if you want to understand computing solutions that tackle the toughest problems you need a clear picture of what really work. This book is an excellent navigator regarding the choices programmers faces at the beginning of inspiring data projects.
Each chapter is concise and to the point. Paul takes you on a quick tour through 7 concurrency paradigms. Great as your first read but not nearly indepth enough to start coding large concurrent software.
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