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Parallelization is not really the only factor, of course. If the system is fast enough, then the elapsed time can often be not that important. However, if your system is not fast enough (say, you have 1 GHz processor with only 512 MB RAM or less), then it will definitely become an important factor.

image im1 = split(nx100) // n images of size 1x100 image im2 = map(im1, function(x) reduce(+, x)) // the result is an image of size 100x100 reduce(im2, mean) // results in a mean of all 100 smaller images

When you use linear programming, you can use this example to check your choice of the number of threads to use. You can try different values of n (from 1 to 100) and see which number of threads gives the best performance.

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