iOS and macOS Performance Tuning (Addison-Wesley)
Monday, 15 May 2017

Focusing on performance optimization for macOS and iOS, Marcel Weiher drills down to the code level to help you systematically optimize CPU, memory, I/O, graphics, and program responsiveness in any Objective-C, Cocoa, or CocoaTouch program. Drawing on 25 years of experience optimizing Apple device software, he identifies concrete performance problems that can be discovered empirically via measurement.  

<ASIN: 0321842847>

Then, based on a deep understanding of fundamental principles, he presents specific techniques for solving them.

Author: Marcel Weiher
Publisher: Addison Wesley
Date: February 2017
Pages: 400
ISBN:  978- 0321842848
Print:   0321842847
Kindle: B06X9Z79C7

 

 

Weiher presents insights you won’t find anywhere else, most of them applying to both macOS and iOS development. Throughout, he reveals common pitfalls and misconceptions about Apple device performance, explains the realities, and helps you reflect those realities in code that performs beautifully.

 

  • Understand optimization principles, measurement, tools, pitfalls, and techniques
  • Recognize when to carefully optimize, and when it isn’t worth your time
  • Balance performance and encapsulation to create efficient object representations, communication, data access, and computation
  • Avoid mistakes that slow down Objective-C programs and hinder later optimization
  • Fix leaks and other problems with memory and resource management
  • Address I/O issues associated with drives, networking, serialization, and SQLite
  • Code graphics and UIs that don’t overwhelm limited iOS device resources
  • Learn what all developers need to know about Swift performance

 

 

 

 

 

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Publisher: Cambridge University Press
Pages: 398
ISBN: 978-1108455145
Print: 110845514X
Kindle: B083M7DBP6
Audience: Developers interested in machine learning
Rating: 3.5
Reviewer: Mike James
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Date: January 2022
Pages: 608
Kindle: B09QCBVJ9V
Audience: General interest
Rating: 5
Reviewer: Kay Ewbank

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