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has been found to work quite well, but is challenging to implement, as it requires storing an ordered list in hardware and updating that list, not just on every cache miss, but on every hit as well Quite often, a practical hardware mechanism will only implement an approximate LRU policy, rather than an exact LRU policy, due to such implementation challenges An instance of an approximate algorithm is the not-most-recently-used (NMRU) policy, where the history mechanism must remember which block was referenced most recently and victimize one of the other blocks, choosing randomly if there is more than one other block to choose from In the case of a two-way associative cache, LRU and NMRU are equivalent, but for higher degrees of associativity, NMRU is less exact but simpler to implement, since the history list needs only a single element (the most recently referenced block) The final policy we consider is random replacement As the name implies, under this policy a block from the candidate eviction set is chosen at random While this may sound risky, empirical studies have shown that random replacement is only slightly worse than true LRU and still significantly better than FIFO Clearly, implementing a true random policy would be very difficult, so practical mechanisms usually employ some reasonable pseudo-random approximation for choosing a block for eviction from the candidate set H a n d l i n g Updates to a Block The presence of a cache in the memory subsystem implies the existence of more than one copy of a block of memory in the system Even with a single level of cache, a block that is currently cached also has a copy still stored in the main memory As long as blocks are only read, and never written, this is not a problem, since all copies of the block have exactly the same contents However, when the processor writes to a block, some mechanism must exist for updating all copies of the block, in order to guarantee that the effects of the write persist beyond the time that the block resides in the cache There are two approaches for handling this problem: write-through caches and writeback caches A write-through cache, as the name implies, simply propagates each write through the cache and on to the next level This approach is attractive due to its simplicity, since correctness is easily maintained and there is never any ambiguity about which copy of a particular block is the current one However, its main drawback is the amount of bandwidth required to support it Typical programs contain about 15% writes, meaning that about one in six instructions updates a block in memory Providing adequate bandwidth to the lowest level of the memory hierarchy to write through at this rate is practically impossible, given the current and continually increasing disparity in frequency between processors and main memories Hence, write-through policies are rarely if ever used throughout all levels of a cache hierarchy A write-through cache must also decide whether or not to fetch and allocate space for a block that has experienced a miss due to a write A write-allocate policy implies fetching such a block and installing it in the cache, while a write-no-allocate policy would avoid the fetch and would fetch and install blocks only on read misses The main advantage of a write-no-allocate policy occurs when streaming writes overwrite most or all of an entire block before any unwritten part of the.

related to another Foundation class (NSThread), let s go ahead and put this into the FoundationAdditions.h file we created earlier:

is a multiple of 5 between 0 and 55 This will keep the minute hand at five-minute intervals But how do you get multiples of 5 One way is to get a random number between 0 and 11 and multiply that number by 5

#define DISPATCH_ON_MAIN_THREAD if(![NSThread isMainThread]) { \ [self performSelectorOnMainThread:_cmd withObject:nil \ waitUntilDone:NO]; \ return; }

function initializeGame():Void { targetHour = Mathround(Mathrandom() * 11 + 1); targetMinutes = Mathround(Mathrandom() * 11) * 5; clock_mchour_mc_rotation = 0; clock_mcminute_mc_rotation = 0; enableAll(true); end_mc_visible = false; }

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There are two tricks to point out in that snippet. The first is that each line (except for the last) ends with a backslash. The appearance of a single backslash in a C preprocessor macro (in case you re unfamiliar with it) causes the preprocessor to ignore the next character it finds. In this case, putting it at the end of the line makes it ignore the following carriage return, so that it goes on to interpret the next line as part of the macro (make sure you don t have any empty space at the end of the line, otherwise this won t work). The second trick is that instead of naming a selector as we did initially, we re using a special variable, available to the preprocessor at compile-time, called _cmd. The _cmd variable always contains the selector of the current method. With that in place, we can force main thread execution of any of our worker methods by simply starting them off like this:

targetHour * 360 This will make the minute hand rotate in full circles (hence 360, for the number of degrees in a circle) for each hour, making the hour hand rotate appropriately

best ISA features However, since the 1990s the focus has shifted to the implementation and to innovative microarchitecture techniques that are applicable to most, if not all, ISAs It is quite likely that the few ISAs that have dominated the microprocessor landscape in the past decades will continue to do so for the coming decade On the other hand, we can expect to see radically different and innovative microarchitectures for these ISAs in the coming decade 124 Dynamic-Static Interface

- (void)finishWorking { DISPATCH_ON_MAIN_THREAD 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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