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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.
- Sales Rank: #288495 in Books
- Brand: Butcher Paul
- Published on: 2014-07-10
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .62" w x 7.52" l, .0 pounds
- Binding: Paperback
- 296 pages
- Seven Concurrency Models in Seven Weeks When Threads Unravel
About the Author
Paul Butcher has worked in diverse fields at all levels of abstraction, from microcode on bit-slice processors to high-level declarative programming, and all points in between. Paul's experience comes from working for startups, where he's had the privilege of collaborating with several great teams on cutting-edge technology. He is the author of "Debug It!."
Most helpful customer reviews
1 of 1 people found the following review helpful.
This book is an excellent navigator regarding the choices programmers faces at the beginning ...
By consultstevenj
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.
3 of 3 people found the following review helpful.
Concise and to the point
By Vertongen K.
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.
1 of 1 people found the following review helpful.
Informative and Required study for Serious Developers
By GreatIronSteed
I thoroughly enjoyed this book, I highly recommend it to any serious developer.
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