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A routine analysis of the system costs at a large manufacturing facility discovered that the cost of administering the company s direct labor timekeeping system appeared to be inordinately high Approximately 50 percent of the entire cost accounting function was devoted to the collection and interpretation of data related to direct labor The controller asked a cost accountant to investigate the situation and recommend a revised system that will generate usable information, while costing as little as possible to administer The cost accountant s plan for this analysis was to first determine the level of detailed information collected by the timekeeping system, calculate the cost of collecting it, and then determine the benefit of using the resulting information She would then see if costs could be reduced for the existing collection system so that no benefits from the system were lost If this was not possible or if the costs could only be reduced by a modest amount, then she would investigate the possibility of reducing the level of information gathered, which, in turn, would reduce the cost of data collection Her first step was to determine the level of detailed information collected by the timekeeping system She interviewed the facility s controller, Ms MacCauley, who said that the timekeeping system required employees to write down on a time sheet the hours they worked each day on specific jobs as well as the work centers within which they worked on each job The typical time sheet looked like the one shown in Exhibit 25

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So almost 3/4 of the time this test will accept H0 : = 10,000 if in fact = 9900 then highly depends upon the alternative hypothesis We can in fact show this dependence in Figure 93 in a curve that plots alt against the speci c alternative

Processors can use multiple functional units simultaneously At the bare minimum, a single arithmetic logic unit (ALU) can be doing integer math while a separate floating point unit (FPU) performs floating point math A separate SSE unit can be doing vector opera tions simultaneously And, depending on the level of inherent paral lelism in sequential programs, multiple ALUs and FPUs can be used so that adjacent operations of the same kind (such as a stream of integer arithmetic) can be running at once

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Memory move operations are extremely common, and yet memory access times are far greater than a single clock cycle By pipelining many adjacent operations in a program-that is, having many of them executing at once-these latencies can be hidden by having operations complete out of order

To cope with the inability to read ahead of branches-in other words, not knowing which instructions to run ahead of time-many

Accumulating Time Worked / 29

08 Beta 06 04 02 9700 9800 Alternative 9900 10,000

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The J4L Barcodes are integrated in Eclipse Birt 4.3 or later. The components support 1D barcodes, PDF417, Datamatrix , QRCode, Azteccode and Maxicode.

modern superscalar processors also use branch prediction This permits the processor to pre-execute instructions that would have been needed if a certain branch was taken, in anticipation that it will be taken; if the prediction is wrong, this leads to a mispredicted branch, and the results executed ahead of time are thrown away There are still inherent limitations to the degree of parallelism that can be realized with these techniques Clearly a processor must respect the basic rules of data dependence that were discussed in 1 0, Memory Models and Lock Freedom Moreover, it must respect some basic memory model rules-such as not reordering stores-so that systems and lock free programmers can reason about the concurrency behavior of their code In addition to these limitations, superscalar processors are more com plex This complexity manifests in three ways First, they are more expen sive to build Second, they use more power than a corresponding in-order processor This has been a contributing factor to the power wall that has stopped the continued clock speed improvements This also means that out-of-order processors are sometimes inappropriate for use in low-power devices, such as in the embedded and mobile space Finally, superscalar processors devote more of the die space to extra ALUs, FPUs, pipelining capabilities, and so forth This reduces the number of possible cores and size of cache that can be added on the die and also contributes to power consumption

The Memory Hierarchy The primary differentiating factor in the performance of parallel programs, believe it or not, typically isn't the specific processor itself It's the memory hierarchy SMP and CMP have very different performance characteristics mostly because the memory systems are very different: the distance between processors and memory, the cache layout, and so on, vary greatly The number of caches, their size, and which processors share which caches plays a huge role in determining the number of cycles that memory oper ations will consume, the level of contention in the memory system that can be introduced due to parallelism, and so on

The CLR controls the mechanics of waiting so that you don't have to worry about many of the things mentioned earlier, such as restarting the wait after

Exhibit 25 Employee Name: Mort Dulspice Date of Timecard: 4/13/03 Time In 08:00 08:46 09:13 10:49 01:00 02:11 03:05 03:18 04:25 Time Out 08:45 09:12 10:48 12:00 02:10 03:04 03:17 04:24 05:00

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