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			200 lines
		
	
	
		
			10 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
@node Upgrading from FFTW version 2, Installation and Customization, Calling FFTW from Legacy Fortran, Top
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@chapter Upgrading from FFTW version 2
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In this chapter, we outline the process for updating codes designed for
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the older FFTW 2 interface to work with FFTW 3.  The interface for FFTW
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3 is not backwards-compatible with the interface for FFTW 2 and earlier
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versions; codes written to use those versions will fail to link with
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FFTW 3.  Nor is it possible to write ``compatibility wrappers'' to
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bridge the gap (at least not efficiently), because FFTW 3 has different
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semantics from previous versions.  However, upgrading should be a
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straightforward process because the data formats are identical and the
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overall style of planning/execution is essentially the same.
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Unlike FFTW 2, there are no separate header files for real and complex
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transforms (or even for different precisions) in FFTW 3; all interfaces
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are defined in the @code{<fftw3.h>} header file.
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@heading Numeric Types
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The main difference in data types is that @code{fftw_complex} in FFTW 2
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was defined as a @code{struct} with macros @code{c_re} and @code{c_im}
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for accessing the real/imaginary parts.  (This is binary-compatible with
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FFTW 3 on any machine except perhaps for some older Crays in single
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precision.)  The equivalent macros for FFTW 3 are:
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@example
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#define c_re(c) ((c)[0])
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#define c_im(c) ((c)[1])
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@end example
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This does not work if you are using the C99 complex type, however,
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unless you insert a @code{double*} typecast into the above macros
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(@pxref{Complex numbers}).
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Also, FFTW 2 had an @code{fftw_real} typedef that was an alias for
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@code{double} (in double precision).  In FFTW 3 you should just use
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@code{double} (or whatever precision you are employing).
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@heading Plans
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The major difference between FFTW 2 and FFTW 3 is in the
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planning/execution division of labor.  In FFTW 2, plans were found for a
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given transform size and type, and then could be applied to @emph{any}
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arrays and for @emph{any} multiplicity/stride parameters.  In FFTW 3,
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you specify the particular arrays, stride parameters, etcetera when
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creating the plan, and the plan is then executed for @emph{those} arrays
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(unless the guru interface is used) and @emph{those} parameters
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@emph{only}.  (FFTW 2 had ``specific planner'' routines that planned for
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a particular array and stride, but the plan could still be used for
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other arrays and strides.)  That is, much of the information that was
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formerly specified at execution time is now specified at planning time.
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Like FFTW 2's specific planner routines, the FFTW 3 planner overwrites
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the input/output arrays unless you use @code{FFTW_ESTIMATE}.
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FFTW 2 had separate data types @code{fftw_plan}, @code{fftwnd_plan},
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@code{rfftw_plan}, and @code{rfftwnd_plan} for complex and real one- and
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multi-dimensional transforms, and each type had its own @samp{destroy}
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function.  In FFTW 3, all plans are of type @code{fftw_plan} and all are
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destroyed by @code{fftw_destroy_plan(plan)}.
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Where you formerly used @code{fftw_create_plan} and @code{fftw_one} to
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plan and compute a single 1d transform, you would now use
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@code{fftw_plan_dft_1d} to plan the transform.  If you used the generic
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@code{fftw} function to execute the transform with multiplicity
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(@code{howmany}) and stride parameters, you would now use the advanced
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interface @code{fftw_plan_many_dft} to specify those parameters.  The
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plans are now executed with @code{fftw_execute(plan)}, which takes all
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of its parameters (including the input/output arrays) from the plan.
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In-place transforms no longer interpret their output argument as scratch
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space, nor is there an @code{FFTW_IN_PLACE} flag.  You simply pass the
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same pointer for both the input and output arguments.  (Previously, the
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output @code{ostride} and @code{odist} parameters were ignored for
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in-place transforms; now, if they are specified via the advanced
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interface, they are significant even in the in-place case, although they
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should normally equal the corresponding input parameters.)
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The @code{FFTW_ESTIMATE} and @code{FFTW_MEASURE} flags have the same
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meaning as before, although the planning time will differ.  You may also
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consider using @code{FFTW_PATIENT}, which is like @code{FFTW_MEASURE}
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except that it takes more time in order to consider a wider variety of
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algorithms.
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For multi-dimensional complex DFTs, instead of @code{fftwnd_create_plan}
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(or @code{fftw2d_create_plan} or @code{fftw3d_create_plan}), followed by
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@code{fftwnd_one}, you would use @code{fftw_plan_dft} (or
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@code{fftw_plan_dft_2d} or @code{fftw_plan_dft_3d}).  followed by
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@code{fftw_execute}.  If you used @code{fftwnd} to to specify strides
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etcetera, you would instead specify these via @code{fftw_plan_many_dft}.
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The analogues to @code{rfftw_create_plan} and @code{rfftw_one} with
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@code{FFTW_REAL_TO_COMPLEX} or @code{FFTW_COMPLEX_TO_REAL} directions
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are @code{fftw_plan_r2r_1d} with kind @code{FFTW_R2HC} or
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@code{FFTW_HC2R}, followed by @code{fftw_execute}.  The stride etcetera
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arguments of @code{rfftw} are now in @code{fftw_plan_many_r2r}.
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Instead of @code{rfftwnd_create_plan} (or @code{rfftw2d_create_plan} or
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@code{rfftw3d_create_plan}) followed by
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@code{rfftwnd_one_real_to_complex} or
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@code{rfftwnd_one_complex_to_real}, you now use @code{fftw_plan_dft_r2c}
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(or @code{fftw_plan_dft_r2c_2d} or @code{fftw_plan_dft_r2c_3d}) or
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@code{fftw_plan_dft_c2r} (or @code{fftw_plan_dft_c2r_2d} or
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@code{fftw_plan_dft_c2r_3d}), respectively, followed by
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@code{fftw_execute}.  As usual, the strides etcetera of
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@code{rfftwnd_real_to_complex} or @code{rfftwnd_complex_to_real} are no
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specified in the advanced planner routines,
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@code{fftw_plan_many_dft_r2c} or @code{fftw_plan_many_dft_c2r}.
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@heading Wisdom
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In FFTW 2, you had to supply the @code{FFTW_USE_WISDOM} flag in order to
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use wisdom; in FFTW 3, wisdom is always used.  (You could simulate the
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FFTW 2 wisdom-less behavior by calling @code{fftw_forget_wisdom} after
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every planner call.)
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The FFTW 3 wisdom import/export routines are almost the same as before
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(although the storage format is entirely different).  There is one
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significant difference, however.  In FFTW 2, the import routines would
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never read past the end of the wisdom, so you could store extra data
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beyond the wisdom in the same file, for example.  In FFTW 3, the
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file-import routine may read up to a few hundred bytes past the end of
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the wisdom, so you cannot store other data just beyond it.@footnote{We
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do our own buffering because GNU libc I/O routines are horribly slow for
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single-character I/O, apparently for thread-safety reasons (whether you
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are using threads or not).}
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Wisdom has been enhanced by additional humility in FFTW 3: whereas FFTW
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2 would re-use wisdom for a given transform size regardless of the
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stride etc., in FFTW 3 wisdom is only used with the strides etc. for
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which it was created.  Unfortunately, this means FFTW 3 has to create
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new plans from scratch more often than FFTW 2 (in FFTW 2, planning
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e.g. one transform of size 1024 also created wisdom for all smaller
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powers of 2, but this no longer occurs).
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FFTW 3 also has the new routine @code{fftw_import_system_wisdom} to
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import wisdom from a standard system-wide location.
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@heading Memory allocation
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In FFTW 3, we recommend allocating your arrays with @code{fftw_malloc}
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and deallocating them with @code{fftw_free}; this is not required, but
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allows optimal performance when SIMD acceleration is used.  (Those two
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functions actually existed in FFTW 2, and worked the same way, but were
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not documented.)
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In FFTW 2, there were @code{fftw_malloc_hook} and @code{fftw_free_hook}
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functions that allowed the user to replace FFTW's memory-allocation
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routines (e.g. to implement different error-handling, since by default
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FFTW prints an error message and calls @code{exit} to abort the program
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if @code{malloc} returns @code{NULL}).  These hooks are not supported in
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FFTW 3; those few users who require this functionality can just
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directly modify the memory-allocation routines in FFTW (they are defined
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in @code{kernel/alloc.c}).
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@heading Fortran interface
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In FFTW 2, the subroutine names were obtained by replacing @samp{fftw_}
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with @samp{fftw_f77}; in FFTW 3, you replace @samp{fftw_} with
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@samp{dfftw_} (or @samp{sfftw_} or @samp{lfftw_}, depending upon the
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precision).
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In FFTW 3, we have begun recommending that you always declare the type
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used to store plans as @code{integer*8}.  (Too many people didn't notice
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our instruction to switch from @code{integer} to @code{integer*8} for
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64-bit machines.)
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In FFTW 3, we provide a @code{fftw3.f} ``header file'' to include in
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your code (and which is officially installed on Unix systems).  (In FFTW
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2, we supplied a @code{fftw_f77.i} file, but it was not installed.)
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Otherwise, the C-Fortran interface relationship is much the same as it
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was before (e.g. return values become initial parameters, and
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multi-dimensional arrays are in column-major order).  Unlike FFTW 2, we
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do provide some support for wisdom import/export in Fortran
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(@pxref{Wisdom of Fortran?}).
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@heading Threads
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Like FFTW 2, only the execution routines are thread-safe.  All planner
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routines, etcetera, should be called by only a single thread at a time
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(@pxref{Thread safety}).  @emph{Unlike} FFTW 2, there is no special
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@code{FFTW_THREADSAFE} flag for the planner to allow a given plan to be
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usable by multiple threads in parallel; this is now the case by default.
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The multi-threaded version of FFTW 2 required you to pass the number of
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threads each time you execute the transform.  The number of threads is
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now stored in the plan, and is specified before the planner is called by
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@code{fftw_plan_with_nthreads}.  The threads initialization routine used
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to be called @code{fftw_threads_init} and would return zero on success;
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the new routine is called @code{fftw_init_threads} and returns zero on
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failure. The current number of threads used by the planner can be
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checked with @code{fftw_planner_nthreads}. @xref{Multi-threaded FFTW}.
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There is no separate threads header file in FFTW 3; all the function
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prototypes are in @code{<fftw3.h>}.  However, you still have to link to
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a separate library (@code{-lfftw3_threads -lfftw3 -lm} on Unix), as well as
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to the threading library (e.g. POSIX threads on Unix).
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