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5.1.2 Usage of Multi-threaded FFTW

Here, it is assumed that the reader is already familiar with the usage of the uniprocessor FFTW routines, described elsewhere in this manual. We only describe what one has to change in order to use the multi-threaded routines.

First, programs using the parallel complex transforms should be linked with -lfftw3_threads -lfftw3 -lm on Unix. You will also need to link with whatever library is responsible for threads on your system (e.g. -lpthread on GNU/Linux).

Second, before calling any FFTW routines, you should call the function:

int fftw_init_threads(void);

This function, which need only be called once, performs any one-time initialization required to use threads on your system. It returns zero if there was some error (which should not happen under normal circumstances) and a non-zero value otherwise.

Third, before creating a plan that you want to parallelize, you should call:

void fftw_plan_with_nthreads(int nthreads);

The nthreads argument indicates the number of threads you want FFTW to use (or actually, the maximum number). All plans subsequently created with any planner routine will use that many threads. You can call fftw_plan_with_nthreads, create some plans, call fftw_plan_with_nthreads again with a different argument, and create some more plans for a new number threads. Plans already created before a call to fftw_plan_with_nthreads are unaffected. If you pass an nthreads argument of 1 (the default), threads are disabled for subsequent plans.

Given a plan, you then execute it as usual with fftw_execute(plan), and the execution will use the number of threads specified when the plan was created. When done, you destroy it as usual with fftw_destroy_plan.

There is one additional routine: if you want to get rid of all memory and other resources allocated internally by FFTW, you can call:

void fftw_cleanup_threads(void);

which is much like the fftw_cleanup() function except that it also gets rid of threads-related data. You must not execute any previously created plans after calling this function.

We should also mention one other restriction: if you save wisdom from a program using the multi-threaded FFTW, that wisdom cannot be used by a program using only the single-threaded FFTW (i.e. not calling fftw_init_threads). See Words of Wisdom-Saving Plans.