Provided by: libfftw3-bin_3.3.3-7ubuntu3_amd64 bug

NAME

       fftwf-wisdom - create wisdom (pre-optimized FFTs)

SYNOPSIS

       fftwf-wisdom [OPTION]... [SIZE]...

DESCRIPTION

       fftwf-wisdom  is  a  utility  to generate FFTW wisdom files, which contain saved information about how to
       optimally compute (Fourier) transforms of various sizes.  FFTW is a  free  library  to  compute  discrete
       Fourier  transforms  in  one  or more dimensions, for arbitrary sizes, and of both real and complex data,
       among other related operations.   More  information  on  FFTW  can  be  found  at  the  FFTW  home  page:
       http://www.fftw.org

       Programs  using  FFTW  can  be  written  to  load wisdom from an arbitrary file, string, or other source.
       Moreover, it is likely that many FFTW-using programs will load the system wisdom file, which is stored in
       /etc/fftw/wisdomf  by  default.   fftwf-wisdom can be used to create or add to such wisdom files.  In its
       most typical usage, the wisdom file can be created to pre-plan a canonical set of sizes (see below) via:

                                             fftwf-wisdom -v -c -o wisdomf

       (this will take many hours, which can be limited by the -t option) and the output wisdomf file  can  then
       be copied (as root) to /etc/fftw/ or whatever.

       The  fftwf-wisdom program normally writes the wisdom directly to standard output, but this can be changed
       via the -o option, as in the example above.

       If the system wisdom file /etc/fftw/wisdomf already exists, then fftwf-wisdom reads this existing  wisdom
       (unless  the  -n  option  is specified) and outputs both the old wisdom and any newly created wisdom.  In
       this way, it can be used to add new transform sizes to the existing system wisdom (or other wisdom  file,
       with the -w option).

SPECIFYING SIZES

       Although  a  canonical  set of sizes to optimize is specified by the -c option, the user can also specify
       zero or more non-canonical transform sizes and types to optimize, via the SIZE  arguments  following  the
       option  flags.   Alternatively,  the  sizes  to  optimize  can  be  read from standard input (whitespace-
       separated), if a SIZE argument of "-" is supplied.

       Sizes are specified by the syntax:

                                         <type><inplace><direction><geometry>

       <type> is either ´c´ (complex), ´r´ (real, r2c/c2r), or ´k´ (r2r, per-dimension kinds, specified  in  the
       geometry, below).

       <inplace> is either ´i´ (in place) or ´o´ (out of place).

       <direction>  is  either  ´f´  (forward)  or  ´b´  (backward).   The <direction> should be omitted for ´k´
       transforms, where it is specified via the geometry instead.

       <geometry> is the size and dimensionality of the transform, where different dimensions are  separated  by
       ´x´  (e.g. ´16x32´ for a two-dimensional 16 by 32 transform).  In the case of ´k´ transforms, the size of
       each dimension is followed by a "type" string, which can be one of  f/b/h/e00/e01/e10/e11/o00/o01/o10/o11
       for R2HC/HC2R/DHT/REDFT00/.../RODFT11, respectively, as defined in the FFTW manual.

       For  example,  ´cif12x13x14´  is  a  three-dimensional  12  by  13  x  14 complex DFT operating in-place.
       ´rob65536´ is a one-dimensional size-65536 out-of-place complex-to-real (backwards)  transform  operating
       on  Hermitian-symmetry  input.  ´ki10hx20e01´ is a two-dimensional 10 by 20 r2r transform where the first
       dimension is a DHT and the second dimension is an REDFT01 (DCT-III).

OPTIONS

       -h, --help
              Display help on the command-line options and usage.

       -V, --version
              Print the version number and copyright information.

       -v, --verbose
              Verbose output.  (You can specify this multiple times, or supply a numeric argument  greater  than
              1,  to  increase the verbosity level.)  Note that the verbose output will be mixed with the wisdom
              output (making it impossible to import), unless you write the wisdom to a file via the -o option.

       -c, --canonical
              Optimize/pre-plan a canonical set of sizes: all powers of  two  and  ten  up  to  2^20  (1048576),
              including  both  real  and  complex,  forward and backwards, in-place and out-of-place transforms.
              Also includes two- and three-dimensional transforms of equal-size dimensions (e.g. 16x16x16).

       -t hours, --time-limit=hours
              Stop after a time of hours (hours) has elapsed, outputting accumulated wisdom.  (The problems  are
              planned in increasing order of size.)  Defaults to 0, indicating no time limit.

       -o file, --output-file=file
              Send wisdom output to file rather than to standard output (the default).

       -m, --measure; -e, --estimate; -x, --exhaustive
              Normally,  fftwf-wisdom creates plans in FFTW_PATIENT mode, but with these options you can instead
              use FFTW_MEASURE, FFTW_ESTIMATE, or FFTW_EXHAUSTIVE modes,  respectively,  as  described  in  more
              detail by the FFTW manual.

              Note  that  wisdom is tagged with the planning patience level, and a single file can mix different
              levels of wisdom (e.g. you can mostly use the patient default, but  plan  a  few  sizes  that  you
              especially care about in --exhaustive mode).

       -n, --no-system-wisdom
              Do not import the system wisdom from /etc/fftw/wisdomf (which is normally read by default).

       -w file, --wisdom-file=file
              Import  wisdom  from  file  (in  addition to the system wisdom, unless -n is specified).  Multiple
              wisdom files can be read via multiple -w options.  If file is "-", then read wisdom from  standard
              input.

BUGS

       Send bug reports to fftw@fftw.org.

AUTHORS

       Written by Steven G. Johnson and Matteo Frigo.

       Copyright (c) 2003, 2007-11 Matteo Frigo
       Copyright (c) 2003, 2007-11 Massachusetts Institute of Technology

SEE ALSO

       fftw-wisdom-to-conf(1)