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To see how operation queues work, let s put them to the test in SlowWorker. Before we start, make a copy of the entire folder containing your SlowWorker project. Later on in this chapter, we re going to use the original version of SlowWorker as a starting point for another way to implement concurrency, so keep a copy of it lying around. As you will recall, the problem with this app is that the single action method calls several other methods in sequence, the total length of which is enough to make the app feel unresponsive. What we re going to do is put each of those other methods into an operation, put all the operations into a queue, and let the queue do its thing. In order for this to work, one of the things we have to do is find a way for each operation to get its input from somewhere, and store its return value somewhere. The solution we re going to use here is to make what were previously return values into instance variables in our controller class. Each method will read any input it needs from an instance variable, and put its results into another. Start by adding instance variables and properties for each of the work-methods return values, along with a new isWorking attribute of type BOOL, which we ll use to keep track of whether the background operations are underway. Because the work-processing is being handled in a different way, we also need to make startTime into an instance variable. Add the lines shown in bold below to SlowWorkerAppDelegate.h:

function buttonOver():Void {

#import <Cocoa/Cocoa.h> @interface SlowWorkerAppDelegate : NSObject { IBOutlet NSButton *startButton; IBOutlet NSTextView *resultsTextView; NSString *fetchedData; NSString *processed; NSString *firstResult; NSString *secondResult; BOOL isWorking; NSDate *startTime; }

(36)

currentButtonNum = thisnum; if(lastButtonNum == undefined) { lastButtonNum = thisnum; } cw1 = currentButtonNum == 0 && lastButtonNum == 3; cw2 = currentButtonNum == lastButtonNum + 1; ccw1 = currentButtonNum == 3 && lastButtonNum == 0; ccw2 = currentButtonNum == lastButtonNum - 1; if(cw1 || cw2) { updateClock(clock_mc, rotateAmt); } else if(ccw1 || ccw2) { updateClock(clock_mc, -rotateAmt); } lastButtonNum = thisnum; }

@property (retain) NSString *fetchedData; @property (retain) NSString *processed; @property (retain) NSString *firstResult; @property (retain) NSString *secondResult; @property (assign) BOOL isWorking; - (IBAction)doWork:(id)sender; @end

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You may be wondering why I set the currentButtonNum equal to thisnum at the beginning of this function and set lastButtonNum equal to thisnum at the end of this function This can potentially be confusing Basically, you use the currentButtonNum variable to capture the index number of the button being rolled over, and use that information throughout the function to rotate the clock Once the information is captured and used, you place the index number of the button rolled over in the lastButtonNum variable In this way, you capture the information about the last button that was rolled over (which, until you roll over another button, is the same as the current button) and store it until you roll over another button, so when you roll over the next button you have the information about the last button

Now, in SlowWorkerAppDelegate.m, inside the @implementation section, add @synthesize declarations for the new properties, and replace the old work-methods with the new ones shown below. We re also going to add a new work-method called finishWorking, which takes care of updating the GUI when the work is done.

a function called updateClock, which receives two parameters: one called clock with a MovieClip data type, and another called updateValue with a Number data type I ll discuss the updateValue parameter later in this exercise

However, one has to be careful using such equations to reason about absolute performance effects, since they do not account for any overlap or concurrency between cache misses In 5, we will investigate numerous techniques that exist for the express purpose of maximizing overlap and concurrency, and we will see that performance approximations like Equation (33) are less effective at predicting the performance of cache hierarchies that incorporate such techniques 34,33 Effective Bandwidth Cache hierarchies are also useful for satisfying the second memory idealism of infinite bandwidth Each higher level in the cache hierarchy is also inherently able to provide higher bandwidth than lower levels, due to its lower access latency, so the hierarchy as a whole manages to maintain the illusion of infinite bandwidth In our recurring example, the latency of the firstlevel cache is 1 ns, so a single-ported nonpipelined implementation can provide a bandwidth of 1 billion references per second In contrast, the second level, if also not pipelined, can only satisfy one reference every 10 ns, resulting in a bandwidth of

@synthesize fetchedData; @synthesize processed; @synthesize firstResult; @synthesize secondResult; @synthesize isWorking; - (void)fetchSomethingFromServer { sleep(1); self.fetchedData = @"Hi there"; } - (void)processData { sleep(2); self.processed = [self.fetchedData uppercaseString]; } - (void)calculateFirstResult { sleep(3); self.firstResult = [NSString stringWithFormat:@"Number of chars: %d", [self.processed length]]; } - (void)calculateSecondResult { sleep(4); self.secondResult = [self.processed stringByReplacingOccurrencesOfString:@"E" withString:@"e"]; } - (void)finishWorking { NSString *resultsSummary = [NSString stringWithFormat: @"First: [%@]\nSecond: [%@]", self.firstResult, self.secondResult]; [resultsTextView setString:resultsSummary]; NSDate *endTime = [NSDate date]; NSLog(@"Completed in %f seconds", [endTime timeIntervalSinceDate:startTime]); self.isWorking = NO; }

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