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Some languages provide a statement such as continue (most languages), skip, [8] cycle (Fortran), or next (Perl and Ruby), which will do this. The effect is to prematurely terminate the innermost loop body and then resume as normal with the next iteration. If the iteration is the last one in the loop, the effect is to terminate the entire loop ...
For-loops have two parts: a header and a body. The header defines the iteration and the body is the code executed once per iteration. The header often declares an explicit loop counter or loop variable. This allows the body to know which iteration is being executed.
In this example, a true dependence exists between statement S1 in the jth iteration and S1 in the j+1th iteration. There is a true dependence because a value will be written to a[j] in one iteration and then a read occurs by a[j-1] in the next iteration. This true dependence can be represented by S1[j] →T S1[j+1].
In loop-carried dependence, statements in an iteration of a loop depend on statements in another iteration of the loop. Loop-Carried Dependence uses a modified version of the dependence notation seen earlier. Example of loop-carried dependence where S1[i] ->T S1[i + 1], where i indicates the current iteration, and i + 1 indicates the next ...
Loop perforation is an approximate computing technique that allows to regularly skip some iterations of a loop. [1] [2] [3]It relies on one parameter: the perforation rate.The perforation rate can be interpreted as the number of iteration to skip each time or the number of iterations to perform before skipping one.
%ITERATE transfers control to the %END of the containing preprocessor DO-group, ending the current iteration and beginning the next if needed. %LEAVE terminates any remaining iterations of the containing preprocessor DO-group transfers control to the %END. %NOTE generates a user-specified preprocessor diagnostic message.
After loop iteration i, the first i elements of the array contain a random permutation. Each loop iteration maintains this property while increasing i. Alternatively, it can be shown that there are n! different sequences of random numbers j, and each corresponds with a different permutation. Thus, each permutation is obtained exactly once.
Here x n is the nth approximation or iteration of x and x n+1 is the next or n + 1 iteration of x. Alternately, superscripts in parentheses are often used in numerical methods, so as not to interfere with subscripts with other meanings. (For example, x (n+1) = f(x (n)).)