The Mac Pro itself ships with Mac OS X 10.4.7, so multithreaded OpenGL appears to be something unique to the version of Tiger built to work on the Mac Pro. Could multithreaded OpenGL come to a. This repository accompanies Pro Multithreading and Memory Management for iOS and OS X by Kazuki Sakamoto and Tomohiko Furumoto (Apress, 2012). Download the files as a zip using the green button, or clone the repository to your machine using Git. Release v1.0 corresponds to the code in the published book, without corrections or updates. Deep knowledge of mobile OSs such as Android and iOS. My expertise is totally confirmed through my book, 'Pro Multithreading and Memory Management for iOS and OS X: with ARC, Grand Central. Automatic Reference Counting (ARC) is a memory management feature of the Clang compiler providing automatic reference counting for the Objective-C and Swift programming languages. At compile time, it inserts into the object code messages retain and release 1 2 which increase and decrease the reference count at run time, marking for.
Overview
Production applications will often need to perform heavier operations such as downloading high-resolution images or a executing non-cached database queries. To prevent stalling the main thread (and a hit in frame rate), Apple has provided a few tools to help you out! We'll take a look at Grand Central Dispatch,
NSOperation s, and the performSelectorInBackground method on NSObject .
Available Options
Grand Central Dispatch
Let's walk through an example where we download an image from a remote URL and then use it to populate a
UIImageView .
Now that we've seen a one-off block example, let's dive into how you can accomplish groups of dependent tasks. Imagine you wanted to download multiple wallpapers and present an alert to the user when all of the images finish loading. Dispatch groups will be your best friends in these scenarios!
First, let's refactor the
loadWallpaper function from the previous example to accept a dispatch_group_t and a target URL.
To use
loadWallpaper(_:url:) a call site could look like so:
While GCD can be extremely powerful, it can be a bit cumbersome to work with in practice. To help with this, Luo Jie came up with a Swifty GCD wrapper that I often use in my projects:
Using this wrapper, our example above could be rewritten as:
NSOperation
To start, we'll port the wallpaper downloading example to use an
NSBlockOperation . NSBlockOperation is a simple wrapper on a block of work that can be added to a queue.
When creating an
NSOperationQueue , you have a few points of customization
NSOperation s become really powerful when you separate them out into operation subclasses. To demonstrate this, let's make a wallpaper resizing operation. We'll need to subclass a custom wrapper of NSOperation that has the proper KVO notifications in place (see 'Subclassing Notes' in the docs).
Now that we have a resizing operation in hand, let's refactor our download operation a bit to work with it:
Lastly, to make the download and resize operations dependent, we can use them like so:
PerformSelectorInBackground
To wrap up, let's show a simple example of
performSelectorInBackground . Assuming self has a method sleepAndPrint(_:) , we can make the following call:
If our target selector had no argument, the selector would simply be
'sleepAndPrint' ).
Key Takeaways
We've used GCD,
NSoperation s, and NSObject 's performSelectorInBackground method as means of performing work in a multithreaded fashion. If you have small units of work to perform, you'll want to reach for GCD or performSelectorInBackground . On the other hand, if you have larger operations that may have dependencies, NSOperation should be your tool of choice. For more info on these topics check out Apple's Thread Programming Guide and the WWDC 2015 session on Advanced NSOperations!
Book Description:
In the event you want to develop surroundings pleasant, clear-working functions, controlling concurrency and memory are essential. Automated Reference Counting is Apple's game-altering memory administration system, new to Xcode 4.2. Pro Multithreading and Memory Management for iOS and OS X reveals you methods ARC works and how biggest to incorporate it into your functions. Grand Central Dispatch (GCD) and blocks are key to creating good apps, allowing you to control threads for most effectivity.
If for you, multithreading is an unsolved thriller and ARC is unexplored territory, then that’s the book you'll should make these concepts clear and ship you in your choice to turning right into a grasp iOS and OS X developer.
What are blocks? How are they used with GCD?Multithreading with GCDManaging objects with ARC
What you’ll research How one can use blocksHow blocks work and how they’re implementedDetails about GCDHow and when to utilize GCDTo understand ARC technology and the best method to make use of it
Who this book is forThis book is for expert OS X and iOS software programmers. Notably, it's for people who have to develop extraordinarily responsive functions with concurrent programming.
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