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enumerates its I E n umerato r < T I n put > input until it is empty; each element is transformed with the stage's m_t r a n sform delegate, the result of which gets placed into the output collection Recall from the last chapter that a blocking collection must be marked as being "done" to wake up blocked consumers when threads have stopped producing To ensure this happens only when all threads in a stage is done, we keep a counter: each thread in a stage decre ments the counter when finished, and the last one through signals to its output collection that it is done producing This propagates through the stages

Setting Up the Payroll Department / 261

We have, of course, an in nite number of choices for this normal random variable The probabilities in the statements above are called con dence coef cients There is an in nity of choices for the con dence coef cient Once a con dence coef cient is selected and a symmetric interval is decided, the normal z-values can be found by using computer or hand-held

You might wonder why we'd want to change the number of threads dedi cated to a particular pipeline stage The reason is that any stage is apt to take more or less time to consume and produce elements than any other stage This can lead to load imbalance that can result in inefficiencies in the pipeline A balanced pipeline is a well performing pipeline What kind of inefficiencies does load imbalance lead to Most pipelines use blocking queue style data structures such that when one stage is ready to consume the output of a previous stage and that previous stage hasn't yet made the next item available, the consumer will block waiting for it Similarly, in many systems, these queues will be bounded to avoid any one stage getting too far ahead of any others When load imbalance is high, the rate of blocking will be high, leading to stalls in the pipeline, increased latencies, and decreased throughput Stalls can have a ripple effect on the pipeline: as one stage stalls, all subsequent ones will tend to stall as well This has a damaging effect because all pipelines have a warm up time, which is the time before a pipeline is fully "primed" Because each stage has production latency, all subsequent stages must wait for all predecessor stages to produce elements too For a l O-stage pipeline in which each stage

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