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We still have one more change to make, in order to make this behave the same and run at least as fast as our previous version that used NSOperationQueue. Remember that when we set up operations in the queue, we allowed calculateFirstResult and calculateSecondResult to run at the same time, through the use of dependencies We declared that each of them was dependent on the preceding call to processData, and that in turn the following call to finishWorking was dependent on both of them. That left it up to the operation queue to run both of those at the same time if possible. In what we currently have in our GCD version, that s not the case. The code runs straight through just as shown, always calling calculateSecondResult: only after calculateFirstResult: has completed. Fortunately, once again GCD has a way to accomplish the same thing, by using what s called a dispatch group. All blocks that are dispatched asynchronously within the context of a group are set loose to execute as fast as they can, including being distributed to multiple threads for concurrent execution if possible. We can also use

} clock_mchour_mc_rotation = 0; clock_mcminute_mc_rotation = 0; enableAll(true); end_mc_visible = false; }

dispatch_group_notify() to specify an additional block that will be executed when all the blocks in the group have been run. Here s what it looks like:

on the clock below it, as shown in the following illustration Sweet!

- (IBAction)doWork:(id)sender { NSDate *startTime = [NSDate date]; dispatch_async(dispatch_get_global_queue(0, 0), ^{ NSString *fetchedData = [self fetchSomethingFromServer]; NSString *processed = [self processData:fetchedData]; __block NSString *firstResult; __block NSString *secondResult; dispatch_group_t group = dispatch_group_create(); dispatch_group_async(group, dispatch_get_global_queue(0, 0), ^{ firstResult = [self calculateFirstResult:processed]; }); dispatch_group_async(group, dispatch_get_global_queue(0, 0), ^{ secondResult = [self calculateSecondResult:processed]; }); dispatch_group_notify(group, dispatch_get_global_queue(0, 0), ^{ NSString *resultsSummary = [NSString stringWithFormat: @"First: [%@]\nSecond: [%@]", firstResult, secondResult]; dispatch_async(dispatch_get_main_queue(), ^{ [resultsTextView setString:resultsSummary]; }); NSDate *endTime = [NSDate date]; NSLog(@"Completed in %f seconds", [endTime timeIntervalSinceDate:startTime]); }); }); }

Likely Increase Likely decrease Likely decrease Likely increase Likely increase Likely decrease No effect

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In this exercise, you ll take a look at winning the game when the main clock s hands match the target clock s hands

One complication here is that each of the calculate methods returns a value which we want to grab, so we have to first create the variables using the __block prefix, which means that the values set inside the blocks are made available to the code that runs later. With all that in place, you should be able to Build & Run your app, and see the same behavior and performance that you saw after the first set of improvements (but not the additional changes we made, where we used Cocoa Bindings to improve the GUI s behavior while the work is being performed; applying the changes to the blockenhanced version of SlowWorker is left as an exercise for the reader). The difference lies in the structuring of the code itself. Remember that in Snow Leopard, NSOperationQueue has been reimplemented using GCD, so your app will have similar performance characteristics either way. It s up to you to decide which way you want to go.

pressing F9 (Windows) or OPTION-F9 (Mac)

Apart from what we ve already shown, there s another option for implementing concurrency on Snow Leopard, using a hybrid of the two approaches we ve seen so far. Snow Leopard includes a new NSOperation subclass called NSBlockOperation that you create an operation using a block instead of an NSInvocation, like this:

all the other variables you created, create two new variables: startTime and endTime Both variables should have a Number data type

Capacity misses -m - m , number of additional misses in finite but fully associative cache over infinite cache

NSBlockOperation loggingOperation = [NSBlockOperation blockOperationWithBlock: ^{

var rotateAmt:Number = 30; var buttons:Array = [tl_btn, tr_btn, br_btn, bl_btn]; var var var var var var var var var var var currentButtonNum:Number; lastButtonNum:Number; cw1:Boolean; cw2:Boolean; ccw1:Boolean; ccw2:Boolean; targetMinutes:Number; targetHour:Number; targetMinuteRotation:Number; targetHourRotation:Number; fullTargetRotation:Number;

NSLog(@"This is where you d say something."); }];

var startTime:Number; var endTime:Number;

Such an operation should be added to an NSOperationQueue in the usual way, where it can be freely mixed with NSInvocationOperation instances. NSBlockOperations are not meant to be used with low-level GCD functions like dispatch_group_async(). The idea is that if you choose to stick with NSOperationQueue instead of GCD queues, you still get the other benefits of using blocks by using NSBlockOperation.

Conflict misses = m -m number of additional misses in actual cache over number of misses in fully associative, finite cache

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