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There is a fair amount of overhead involved in synchronizing threads, d@0: so the optimal number of threads to use depends upon the size of the d@0: transform as well as on the number of processors you have. d@0: d@0:
As a general rule, you don't want to use more threads than you have d@0: processors. (Using more threads will work, but there will be extra d@0: overhead with no benefit.) In fact, if the problem size is too small, d@0: you may want to use fewer threads than you have processors. d@0: d@0:
You will have to experiment with your system to see what level of
d@0: parallelization is best for your problem size. Typically, the problem
d@0: will have to involve at least a few thousand data points before threads
d@0: become beneficial. If you plan with FFTW_PATIENT
, it will
d@0: automatically disable threads for sizes that don't benefit from
d@0: parallelization.
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