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Array operations, maximum vectorization

In order to achieve maximum vectorization of array operations there can be no interruptions in execution, such as a conditionality which excludes some members of an array from a particular operation. However, since conditionalities are often required, some means of incorporating them in a vectorizable manner must be found. To illustrate the effect of conditionality and vector length on the ASC consider the following Fortran ... [Pg.76]

The price to be paid for the maximum performance from any AFPP, VP or AP is some attention to the order in which the individual operations of a complete calculation are carried out. This usually involves arranging the calculation as a sequence of operations involving vectors (single dimensional arrays) of... [Pg.221]

Once a calibration model for the process space is built using the lin-ear/nonlinear PCA, over the course of operation, the SPE can be used to monitor the process against any unanticipated disturbances and/or sensor failures. At times when the SPEumit is violated, instead of evaluating the variable contribution to the SPE, one can go one step back in each sensor array and calculate the SPE again. Subsequently, the SPE values are ordered from minimum to maximum. In other words, following vectors are defined first. [Pg.196]


See other pages where Array operations, maximum vectorization is mentioned: [Pg.151]    [Pg.55]   
See also in sourсe #XX -- [ Pg.71 ]




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