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All threads in a process share the same executable program code, and the same global data Each thread can also have some data that is exclusive to the thread Threads can make use of a special structure called a mutex (short for mutual exclusion) or a lock, which can ensure that a particular chunk of code can t be run by multiple threads at once This is useful for ensuring correct outcomes when multiple threads access the same data simultaneously, by locking out other threads when one thread is updating a value (in what s called a critical section of your code) For example, let s say your application implements a banking system, where an account balance can be modified as part of a transaction.

function buttonOver():Void { 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)

In a multi-threaded system, you need to protect the section of code that adds or subtracts from the account balance, to eliminate the possibility that two threads are both messing with it at the exact same time Otherwise, you might have both threads reading the old balance more or less simultaneously, and both threads later writing back their own ideas of the new balance, oblivious to the changes that the.

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Returning to our example, we would find that m = (l- 095) x 14 = 007 misses per instruction, while m = [1 - (095 + 004)] X 14 = 0014 misses per instruction Finally, substituting into Equation (33), we can compute the memory-time-perinstruction metric MTPI = (007 x 9 ns) + (0014 x 90 ns) = 063 + 126 = 189 ns per instruction This can also be conveniently expressed in terms of cycles per instruction by normalizing to the cycle time of the processor For example, assuming a cycle time of 1 ns, the memory-cycles-per-instruction (MCPI) would be 189 cycles per instruction Note that our definition of MTPI in Equation (33) does not account for the latency spent servicing hits from the first level of cache, but only time spent for misses Such a definition is useful in performance modeling, since it cleanly separates the time spent in the processor core from the time spent outside the core servicing misses For example, an ideal scalar processor pipeline would execute instructions at a rate of one per cycle, resulting in a core cycles per instruction (CPI) equal to one This CPI assumes that all memory references hit in the cache; a core CPI is also often called a perfect cache CPI, since the cache is perfectly able to satisfy all references with a fixed hit latency As shown, in Equation (36), the core CPI can be added to the MCPI computed previously to reach the actual CPI of the processor: CPI = 10 + 189 = 289 cycles per instruction for our recurring example

{ updateClock(clock_mc, rotateAmt); } else if(ccw1 || ccw2) { } }

other was trying to make, leading to an incorrect final state; whichever sets the value last is the winner, and the other thread s change to the balance is simply lost. A common concern when dealing with threads is the idea of code being thread-safe. Some software libraries are written with concurrency in mind, and have all their critical sections properly protected with mutexes. Some code libraries simply don t. For instance, in Cocoa, the AppKit framework (containing the classes specific to building GUI applications, such as NSApplication, NSView and all its subclasses, and the like) is for the most part not thread-safe. This means that in a running Cocoa application, all method calls that deal with any AppKit objects should be executed from within the same thread, which is commonly known as the main thread. If you access AppKit objects from another thread, all bets are off. You are likely to encounter seemingly inexplicable bugs. By default, the main thread is where all the action of your Cocoa app (such as dealing with actions triggered by user events) occurs, so for simple applications it s nothing you need to worry about. Action methods triggered by a user are already running in the main thread. Up to this point in the book, our code has been running exclusively on the main thread, but that s about to change.

function, passing in clock_mc and rotateAmt (the amount is negative because the rotation value will be negative when the clock moves counterclockwise)

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