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(This last point is a simplification Normally read / read conflicts are safe in the case of simple shared memory, but there are some cases in which they are not: when a read has a side effect, like reading a stack's guard page, or when reading some data associated with a physical device, it may be nec essary to ensure no two threads try to do it concurrently) Very little of this discussion is specific to the ++ operator itself It just turns out to be a convenient example because it intrinsically exhibits all of the problematic conditions that lead to these timing issues 1 Multiple threads make private copies of data from a shared location 2 Threads publish results back to shared memory, overwriting existing values 3 Compound updates may be made with the intent of establishing or preserving invariants between multiple independent shared locations 4 Threads run concurrently such that their timing overlaps and opera tions interleave

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Above we have assumed that k is known, a dubious assumption at best On the basis of a sample, how can we estimate k To be speci c, suppose that a sample of 100 from a population of 400 shows 5 special items What is the maximum likelihood estimate of k This is not a negative hypergeometric situation but a hypergeometric situation Consider prob[k] =

There is no greater skill that differentiates great concurrent programmers from the rest than the ability to innately predict and consider various tim ings to some reasonable depth of complexity With experience comes the ability to see several steps ahead and proactively identify the timings that can lead to race conditions and other hazards This is especially important when writing sophisticated lock free algorithms, which eschew isolation, immutability, and synchronization in favor of strict discipline and reliance on hardware guarantees, which we'll review in 1 0, Memory Mod els and Lock Freedom

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