cannam@127: cannam@127: cannam@127: cannam@127: cannam@127:
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cannam@127:Plans for all transform types in FFTW are stored as type
cannam@127: fftw_plan
(an opaque pointer type), and are created by one of the
cannam@127: various planning routines described in the following sections.
cannam@127:
cannam@127: An fftw_plan
contains all information necessary to compute the
cannam@127: transform, including the pointers to the input and output arrays.
cannam@127:
void fftw_execute(const fftw_plan plan); cannam@127:
This executes the plan
, to compute the corresponding transform on
cannam@127: the arrays for which it was planned (which must still exist). The plan
cannam@127: is not modified, and fftw_execute
can be called as many times as
cannam@127: desired.
cannam@127:
To apply a given plan to a different array, you can use the new-array execute cannam@127: interface. See New-array Execute Functions. cannam@127:
cannam@127:fftw_execute
(and equivalents) is the only function in FFTW
cannam@127: guaranteed to be thread-safe; see Thread safety.
cannam@127:
This function: cannam@127:
void fftw_destroy_plan(fftw_plan plan); cannam@127:
deallocates the plan
and all its associated data.
cannam@127:
FFTW’s planner saves some other persistent data, such as the cannam@127: accumulated wisdom and a list of algorithms available in the current cannam@127: configuration. If you want to deallocate all of that and reset FFTW cannam@127: to the pristine state it was in when you started your program, you can cannam@127: call: cannam@127:
cannam@127:void fftw_cleanup(void); cannam@127:
After calling fftw_cleanup
, all existing plans become undefined,
cannam@127: and you should not attempt to execute them nor to destroy them. You can
cannam@127: however create and execute/destroy new plans, in which case FFTW starts
cannam@127: accumulating wisdom information again.
cannam@127:
fftw_cleanup
does not deallocate your plans, however. To prevent
cannam@127: memory leaks, you must still call fftw_destroy_plan
before
cannam@127: executing fftw_cleanup
.
cannam@127:
Occasionally, it may useful to know FFTW’s internal “cost” metric
cannam@127: that it uses to compare plans to one another; this cost is
cannam@127: proportional to an execution time of the plan, in undocumented units,
cannam@127: if the plan was created with the FFTW_MEASURE
or other
cannam@127: timing-based options, or alternatively is a heuristic cost function
cannam@127: for FFTW_ESTIMATE
plans. (The cost values of measured and
cannam@127: estimated plans are not comparable, being in different units. Also,
cannam@127: costs from different FFTW versions or the same version compiled
cannam@127: differently may not be in the same units. Plans created from wisdom
cannam@127: have a cost of 0 since no timing measurement is performed for them.
cannam@127: Finally, certain problems for which only one top-level algorithm was
cannam@127: possible may have required no measurements of the cost of the whole
cannam@127: plan, in which case fftw_cost
will also return 0.) The cost
cannam@127: metric for a given plan is returned by:
cannam@127:
double fftw_cost(const fftw_plan plan); cannam@127:
The following two routines are provided purely for academic purposes cannam@127: (that is, for entertainment). cannam@127:
cannam@127:void fftw_flops(const fftw_plan plan, cannam@127: double *add, double *mul, double *fma); cannam@127:
Given a plan
, set add
, mul
, and fma
to an
cannam@127: exact count of the number of floating-point additions, multiplications,
cannam@127: and fused multiply-add operations involved in the plan’s execution. The
cannam@127: total number of floating-point operations (flops) is add + mul +
cannam@127: 2*fma
, or add + mul + fma
if the hardware supports fused
cannam@127: multiply-add instructions (although the number of FMA operations is only
cannam@127: approximate because of compiler voodoo). (The number of operations
cannam@127: should be an integer, but we use double
to avoid overflowing
cannam@127: int
for large transforms; the arguments are of type double
cannam@127: even for single and long-double precision versions of FFTW.)
cannam@127:
void fftw_fprint_plan(const fftw_plan plan, FILE *output_file); cannam@127: void fftw_print_plan(const fftw_plan plan); cannam@127: char *fftw_sprint_plan(const fftw_plan plan); cannam@127:
This outputs a “nerd-readable” representation of the plan
to
cannam@127: the given file, to stdout
, or two a newly allocated
cannam@127: NUL-terminated string (which the caller is responsible for deallocating
cannam@127: with free
), respectively.
cannam@127:
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