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Swift High Performance

You're reading from   Swift High Performance Leverage Swift and enhance your code to take your applications to the next level

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Product type Paperback
Published in Nov 2015
Publisher Packt
ISBN-13 9781785282201
Length 212 pages
Edition 1st Edition
Languages
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Author (1):
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Kostiantyn Koval Kostiantyn Koval
Author Profile Icon Kostiantyn Koval
Kostiantyn Koval
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Table of Contents (10) Chapters Close

Preface 1. Exploring Swift's Power and Performance FREE CHAPTER 2. Making a Good Application Architecture in Swift 3. Testing and Identifying Slow Code with the Swift Toolkit 4. Improving Code Performance 5. Choosing the Correct Data Structure 6. Architecting Applications for High Performance 7. The Importance of Being Lazy 8. Discovering All the Underlying Swift Power Index

Accelerate and Surge


Both iOS and OS X SDK have a very powerful framework that provides high-performance functions for working with matrices, vectors, signals, image processing, and math operations. It is called the Accelerate framework. The Accelerate framework is quite big, so we will take a look at only one part that is related to working with collections; it is the vDSP part. You can find out more about it at https://developer.apple.com/library/prerelease/ios/documentation/Accelerate/Reference/vDSPRef/index.html.

First, let's implement the very basic mapping, calculating, and sum operations using the Swift standard library:

let array = [1.0, 2.0]
let result = array.map { $0 + 3.0 }
result // [4.0, 5.0]

let sum = array.reduce(0, combine: +)
sum // 3

This code is very clear and readable and doesn't need any comments. Let's try to do the same using Accelerate:

let array = [1.0, 2.0]
var result = [Double](count: array.count, repeatedValue: 0.0)

var add = 3.0
vDSP_vsaddD(array, 1, &add...
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