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Mastering High Performance with Kotlin

You're reading from   Mastering High Performance with Kotlin Overcome performance difficulties in Kotlin with a range of exciting techniques and solutions

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788996648
Length 316 pages
Edition 1st Edition
Languages
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Author (1):
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Igor Kucherenko Igor Kucherenko
Author Profile Icon Igor Kucherenko
Igor Kucherenko
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Toc

Concurrency and parallelism

Multithreading is based on the concepts of concurrency and parallelism. Concurrency refers to the ability of a task to be split into independent subtasks that can be executed out of order without affecting the final result:

Let's look at the following example:

class Baker {
fun bake(): Cake {
for (i in 0..1_000_000_000) {
BigInteger.ONE.modPow(BigInteger.TEN, BigInteger.TEN)
}
return Cake()
}
}

The Baker class contains the bake() method, which invokes the modPow function that take a significant amount of time to imitate the process of baking and returns an instance of the Cake class:

class Cake

The Bakery class contains the order method, which takes the numberOfCakes argument and returns an instance of the List<Cake> type:

class Bakery {
fun order(numberOfCakes: Int): List<Cake> {
val...
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