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The POSGuys.com FREE Barcode Generator for Excel is a tool that will take most Microsoft Excel spreadsheets and do a ... 3) Download Result with Barcodes! Solution The key idea of this pattern is captured by the assembly line analogy, namely that the potential concurrency can be exploited by assigning each operation (stage of the pipeline) to a different worker and having them work simultaneously, with the data elements passing from one worker to the next as operations are completed In parallel programming terms, the idea is to assign each task (stage of the pipeline) to a UE and provide a mechanism whereby each stage of the pipeline can send data elements to the next stage This strategy is probably the most straightforward way to deal with this type of ordering constraints It allows the application to take advantage of special purpose hardware by appropriate mapping of pipeline stages to PEs and provides a reasonable mechanism for handling errors, described later It also is likely to yield a modular design that can later be extended or modified Before going further, it may help to illustrate how the pipeline is supposed to operate Let Ci represent a multistep computation on data element i Ci(j) is the jth step of the computation The idea is to map computation steps to pipeline stages so that each stage of the pipeline computes one step Initially, the first stage of the pipeline performs C1(1) After that completes, the second stage of the pipeline receives the first data item and computes C1(2) while the first stage computes the first step of the second item, C2(1) Next, the third stage computes C1(3), while the second stage computes C2(2) and the first stage C3(1) Fig 424 illustrates how this works for a pipeline consisting of four stages Notice that concurrency is initially limited and some resources remain idle until all the stages are occupied with useful work This is referred to as filling the pipeline At the end of the computation (draining the pipeline), again there is limited concurrency and idle resources as the final item works its way through the pipeline We want the time spent filling or draining the pipeline to be small compared to the total time of the computation This will be the case if the number of stages is small compared to the number of items to be processed Notice also that overall throughput/efficiency is maximized if the time taken to process a data element is roughly the same for each stage. excel barcode add-in Barcodes in Excel 2016, Excel 2013 and Excel 365 - ActiveBarcode
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