Download Akka Concurrency by Derek Wyatt, Roland, Dr. Kuhn PDF

By Derek Wyatt, Roland, Dr. Kuhn

Writing really concurrent software program at the Java digital computing device simply bought lots more straightforward. The Akka Toolkit takes the edge out of coding for a number of cores, a number of processors, or even a number of machines. Akka Concurrency will exhibit you what it capacity to layout and write software program within the paradigm of Akka. you are going to take into consideration your software program in new and interesting ways in which will let you exhibit your designs obviously, permitting you to target the enterprise of your software program greater than at the concurrency of it. This e-book alternatives up the place the Akka documentation leaves off, exploring the how and the why of Akka, in a manner that may empower you to develop your functions to new degrees of scalability, responsiveness, and function.

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Extra resources for Akka Concurrency

Example text

For example, you can multiply thousands of matrices sequentially but you can also do this in parallel if you break them up into a hierarchy of multiplications. Later on, in the section on futures, we’ll do exactly that and show how easy it is to do such a thing with Akka. Download from Wow! com> Concurrency This is all that other stuff, also known as life. It’s the act of an application, which has many dependent or independent algorithms, running through multiple threads of execution simultaneously.

Com> That was quite the whirlwind tour of concurrency, parallelism, the pains of shared-state concurrency, and the wonders of immutability. We could have gone on and on, but the goal of all of that is to lend some grounding to much of the topics you’ll see in the rest of this book, not to discuss all of the ins and outs of concurrency outside of the Akka context. We’ll see a lot of asynchronous code and asynchronous design, which is all geared toward attacking the problems we’ve discussed in this section.

2 Chapter 2 · Concurrency and Parallelism The problem’s solution There are many ways to solve this problem; the good ones involve changing your API. However, you’d have to change so much code that it just doesn’t seem worth it, so you try the cheap way out. first = s; } finally { Download from Wow! 2 Chapter 2 · Concurrency and Parallelism } } } The ol’ stand-by revolves around locks. You toss some concurrency locks around the problem and figure that if “getters” try to grab the lock and someone else has it, then you’re golden.

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