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rdlc qr code

rdlc qr code

rdlc qr code

rdlc qr code

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tells the compiler to substitute the character 6 every time it finds the text kMaxPlayers in the source code. kMaxPlayers is known as a macro. As the preprocessor goes through your code, it enters all the #defines into a list, known as a dictionary, performing all the #define substitutions as it goes.

WINDOWS\FONTS Windows stores all its fonts in this folder Note that fonts usually have one of two extensions, FON or TTF The FON les are the old-style screen fonts, and the TTF les

It s important to know that the compiler never actually modifies your source code. The dictionary it creates as it goes through your code is separate from your source code, and the substitutions it performs are made as the source code is translated into machine code.

Here s an example of a #define in action:

2132 Identical Computations The second point of pipelining idealism states that many repetitions of the same computation are to be performed by the pipeline The same computation is repeated on multiple sets of input data; each repetition requires the same sequence of subcomputations provided by the pipeline stages For our floating-point multiplier example, this means that many pairs of floatingpoint numbers are to be multiplied and that each pair of operands is sent through the same three pipeline stages Basically this assumption implies that all the pipeline stages are used by every repetition of the computation This is certainly true for our example This assumption holds for the floating-point multiplier example because this pipeline performs only one function, that is, floating-point multiplication If a pipeline is designed to perform multiple functions, this assumption may not hold For example, an arithmetic pipeline can be designed to perform both addition and multiplication In a multiple-function pipeline, not all the pipeline stages may be required by each of the functions supported by the pipeline It is possible that a different subset of pipeline stages is required for performing each of the functions and that each computation may not require all the pipeline stages Since the sequence of data sets traverses the pipeline in a synchronous manner, some data sets will not require some pipeline stages and effectively will be idling during those stages These unused or idling pipeline stages introduce another form of pipeline inefficiency that can be called external fragmentation of pipeline stages Similar to internal fragmentation, external fragmentation is a form of pipelining overhead and should be minimized in multifunction pipelines For the pipelined floating-point multiplier example, there is no external fragmentation The second point of pipelining idealism effectively assumes that all pipeline stages are always utilized Aside from the implication of having no external fragmentation, this idealized assumption also implies that there are many sets of data to be processed It takes k cycles for the first data set to reach the last stage of the pipeline; these cycles are referred to as the pipeline fill time After the last data set has entered the first pipeline stage, an additional k cycles are needed to drain the pipeline During pipeline fill and drain times, not all the stages will be busy The main reason for assuming the processing of many sets of input data is that the pipeline fill and drain times constitute a very small fraction of the total time Hence, the pipeline stages can be considered, for all practical purposes, to be always busy In fact, the throughput of 58 MFLOPS for the pipelined floatingpoint multiplier is based on this assumption 2133 Independent Computations The third point of pipelining idealism states that the repetitions of computation, or simply computations, to be processed by the pipeline are independent This means that all the computations that are concurrently resident in the pipeline stages are independent, that is, have no data or control dependences between any pair of the computations This assumption permits the pipeline to operate in "streaming" mode, in that a later computation.

If you re a child of the TV age and who isn t these days then you might have heard of a TV show called The A-Team starring George Peppard and Mr T Okay, so maybe it wasn t the greatest TV show, but I always remember one line from this show: I love it when a plan comes together! That s how you should feel as you get ready to become CompTIA A+ certi ed In fact, just for fun, let s call ourselves the A+ Team as we put a plan together to knock that test right into next week s episode!