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We see that the highest levels of the memory hierarchy register files and primary caches are able to supply near-infinite bandwidth and very low average latency to the processor core, satisfying the second and third idealisms The first idealism infinite capacity is satisfied by the lowest level of the memory hierarchy, since the capacities of DRAM-based memories are large enough to contain the working sets of most modern applications; for applications where this is not the case Section 35 describes a technique called virtual memory that extends the memory hierarchy beyond random-access memory devices to magnetic disks, which provide capacities that exceed the demands of all but the most demanding applications The fourth idealism persistence or nonvolatility can also be supplied by magnetic disks, which are designed to retain their state even when they are powered down The final idealism low implementation cost is also satisfied, since the high per-bit cost of the upper levels of the cache hierarchy is only multiplied by a relatively small number of bits, while the lower levels of the hierarchy provide tremendous capacity at a very low cost per bit Hence, the average cost per bit is kept near the low cost of commodity DRAM and magnetic disks, rather than the high cost of the custom SRAM in the cache memories 344 Main Memory

NSArray *array = [NSArray arrayWithObjects:@"one", "two", @"three"]; // C-style enumeration int i; for (i = 0; i < [array count]; i++) { NSLog(@"C enumeration accessing object: %@", [array objectAtIndex:i]); } // NSEnumerator, the "classic" Cocoa way to enumerate

1 In the exercise files, locate and open running_finalfla 2 Test the movie Move the mouse up and down to make the runner run

NSEnumerator *aEnum = [array objectEnumerator]; id obj1; while ((obj1 = [aEnum nextObject])) { NSLog(@"NSEnumerator accessing object: %@", obj1); } // "Fast enumeration", released as part of Leopard id obj2; for (obj2 in array) { NSLog(@"Fast enumeration accessing object: %@", obj2); } // "Block enumeration", new in Snow Leopard [array enumerateObjectsUsingBlock:^(id obj3, NSUInteger i, BOOL *stop) { NSLog(@"Block enumeration accessing object: %@", obj3); }];

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Notice how the background scrolls, with each element moving at a different speed Also notice the speed indicator and distance information at the bottom of the screen Once you run far enough, you cross the finish line and the game ends If you run fast enough, you get a medal, as shown in the following illustration You can also see the time it took If you click the end message, you can play the game again

The block we pass in to enumerateObjectsUsingBlock: takes three arguments, and returns nothing. That s the block signature declared by the method, and that s what we have to follow. The three arguments sent into our block are an object from the array, an integer containing that object s index in the array, and a BOOL passed by reference that lets us halt the enumeration by setting its value to YES. Looking at it that way, it may not be obvious at first why the block version is any better than the others, but the fact is that it really combines the best of all the other ways of enumerating. For one thing, it gives you the index of the current object, which is really handy if you want to do something like print out a numbered list of the items in an array. We can t tell you how many times we ve dropped down to C-style iteration just for easy access to each object s index value! Also, there s a variant of this method that lets you specify options defining how the enumeration runs, such as make it run concurrently:

multiprocessors that employ Itanium 2 processors and are intended for extremely memory-intensive server applications even include a fourth level of cache memory on the system board Finally, the physical memory hierarchy is backed up by DRAM that ranges in size from 128 Mbytes in entry-level desktop PCs to 100 Gbytes or more in highend server systems The latency for a reference that must be satisfied from DRAM is typically at least 100 ns, though it can be somewhat less in a single-processor system Systems with multiple processors that share memory typically pay an overhead for maintaining cache coherence that increases the latency for main memory accesses, in some cases up to 1000 ns 11 discusses many of the issues related to efficient support for coherent shared memory In light of the example shown in Figure 36, let's revisit the five memory idealisms introduced earlier in the chapter: Infinite capacity For storing large data sets and large programs Infinite bandwidth For rapidly streaming these large data sets and programs to and from the processor Instantaneous or zero latency To prevent the processor from stalling while waiting for data or program code Persistence or nonvolatility To allow data and programs to survive even when the power supply is cut off

1 In the exercise files, locate and open runningfla 2 Save the file as running_{your name}fla 3 In the Timeline, notice there are

[array enumerateObjectsWithOptions:NSEnumerationConcurrent usingBlock:^(id obj3, NSUInteger i, BOOL *stop) { NSLog(@"Block enumeration accessing object: %@", obj3); }];

layers and select the art on the Stage of each layer to become familiar with the instance names of the objects on the Stage The main objects you ll be working with are runner_mc (the runner), bg_mc (the background), and the elements at the bottom of the Stage

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