Next: MPI Wisdom Communication, Previous: MPI Data Distribution Functions, Up: FFTW MPI Reference [Contents][Index]
Plans for complex-data DFTs (see 2d MPI example) are created by:
fftw_plan fftw_mpi_plan_dft_1d(ptrdiff_t n0, fftw_complex *in, fftw_complex *out,
MPI_Comm comm, int sign, unsigned flags);
fftw_plan fftw_mpi_plan_dft_2d(ptrdiff_t n0, ptrdiff_t n1,
fftw_complex *in, fftw_complex *out,
MPI_Comm comm, int sign, unsigned flags);
fftw_plan fftw_mpi_plan_dft_3d(ptrdiff_t n0, ptrdiff_t n1, ptrdiff_t n2,
fftw_complex *in, fftw_complex *out,
MPI_Comm comm, int sign, unsigned flags);
fftw_plan fftw_mpi_plan_dft(int rnk, const ptrdiff_t *n,
fftw_complex *in, fftw_complex *out,
MPI_Comm comm, int sign, unsigned flags);
fftw_plan fftw_mpi_plan_many_dft(int rnk, const ptrdiff_t *n,
ptrdiff_t howmany, ptrdiff_t block, ptrdiff_t tblock,
fftw_complex *in, fftw_complex *out,
MPI_Comm comm, int sign, unsigned flags);
These are similar to their serial counterparts (see Complex DFTs)
in specifying the dimensions, sign, and flags of the transform. The
comm argument gives an MPI communicator that specifies the set
of processes to participate in the transform; plan creation is a
collective function that must be called for all processes in the
communicator. The in and out pointers refer only to a
portion of the overall transform data (see MPI Data Distribution)
as specified by the ‘local_size’ functions in the previous
section. Unless flags contains FFTW_ESTIMATE, these
arrays are overwritten during plan creation as for the serial
interface. For multi-dimensional transforms, any dimensions >
1 are supported; for one-dimensional transforms, only composite
(non-prime) n0 are currently supported (unlike the serial
FFTW). Requesting an unsupported transform size will yield a
NULL plan. (As in the serial interface, highly composite sizes
generally yield the best performance.)
The advanced-interface fftw_mpi_plan_many_dft additionally
allows you to specify the block sizes for the first dimension
(block) of the n0 × n1 × n2 × … × nd-1
input data and the first dimension
(tblock) of the n1 × n0 × n2 ×…× nd-1
transposed data (at intermediate
steps of the transform, and for the output if
FFTW_TRANSPOSED_OUT is specified in flags). These must
be the same block sizes as were passed to the corresponding
‘local_size’ function; you can pass FFTW_MPI_DEFAULT_BLOCK
to use FFTW’s default block size as in the basic interface. Also, the
howmany parameter specifies that the transform is of contiguous
howmany-tuples rather than individual complex numbers; this
corresponds to the same parameter in the serial advanced interface
(see Advanced Complex DFTs) with stride = howmany and
dist = 1.
The flags can be any of those for the serial FFTW
(see Planner Flags), and in addition may include one or more of
the following MPI-specific flags, which improve performance at the
cost of changing the output or input data formats.
FFTW_MPI_SCRAMBLED_OUT, FFTW_MPI_SCRAMBLED_IN: valid for
1d transforms only, these flags indicate that the output/input of the
transform are in an undocumented “scrambled” order. A forward
FFTW_MPI_SCRAMBLED_OUT transform can be inverted by a backward
FFTW_MPI_SCRAMBLED_IN (times the usual 1/N normalization).
See One-dimensional distributions.
FFTW_MPI_TRANSPOSED_OUT, FFTW_MPI_TRANSPOSED_IN: valid
for multidimensional (rnk > 1) transforms only, these flags
specify that the output or input of an n0 × n1 × n2 × … × nd-1
transform is
transposed to n1 × n0 × n2 ×…× nd-1
. See Transposed distributions.
Plans for real-input/output (r2c/c2r) DFTs (see Multi-dimensional MPI DFTs of Real Data) are created by:
fftw_plan fftw_mpi_plan_dft_r2c_2d(ptrdiff_t n0, ptrdiff_t n1,
double *in, fftw_complex *out,
MPI_Comm comm, unsigned flags);
fftw_plan fftw_mpi_plan_dft_r2c_2d(ptrdiff_t n0, ptrdiff_t n1,
double *in, fftw_complex *out,
MPI_Comm comm, unsigned flags);
fftw_plan fftw_mpi_plan_dft_r2c_3d(ptrdiff_t n0, ptrdiff_t n1, ptrdiff_t n2,
double *in, fftw_complex *out,
MPI_Comm comm, unsigned flags);
fftw_plan fftw_mpi_plan_dft_r2c(int rnk, const ptrdiff_t *n,
double *in, fftw_complex *out,
MPI_Comm comm, unsigned flags);
fftw_plan fftw_mpi_plan_dft_c2r_2d(ptrdiff_t n0, ptrdiff_t n1,
fftw_complex *in, double *out,
MPI_Comm comm, unsigned flags);
fftw_plan fftw_mpi_plan_dft_c2r_2d(ptrdiff_t n0, ptrdiff_t n1,
fftw_complex *in, double *out,
MPI_Comm comm, unsigned flags);
fftw_plan fftw_mpi_plan_dft_c2r_3d(ptrdiff_t n0, ptrdiff_t n1, ptrdiff_t n2,
fftw_complex *in, double *out,
MPI_Comm comm, unsigned flags);
fftw_plan fftw_mpi_plan_dft_c2r(int rnk, const ptrdiff_t *n,
fftw_complex *in, double *out,
MPI_Comm comm, unsigned flags);
Similar to the serial interface (see Real-data DFTs), these
transform logically n0 × n1 × n2 × … × nd-1
real data to/from n0 × n1 × n2 × … × (nd-1/2 + 1)
complex
data, representing the non-redundant half of the conjugate-symmetry
output of a real-input DFT (see Multi-dimensional Transforms).
However, the real array must be stored within a padded n0 × n1 × n2 × … × [2 (nd-1/2 + 1)]
array (much like the in-place serial r2c transforms, but here for
out-of-place transforms as well). Currently, only multi-dimensional
(rnk > 1) r2c/c2r transforms are supported (requesting a plan
for rnk = 1 will yield NULL). As explained above
(see Multi-dimensional MPI DFTs of Real Data), the data
distribution of both the real and complex arrays is given by the
‘local_size’ function called for the dimensions of the
complex array. Similar to the other planning functions, the
input and output arrays are overwritten when the plan is created
except in FFTW_ESTIMATE mode.
As for the complex DFTs above, there is an advance interface that
allows you to manually specify block sizes and to transform contiguous
howmany-tuples of real/complex numbers:
fftw_plan fftw_mpi_plan_many_dft_r2c
(int rnk, const ptrdiff_t *n, ptrdiff_t howmany,
ptrdiff_t iblock, ptrdiff_t oblock,
double *in, fftw_complex *out,
MPI_Comm comm, unsigned flags);
fftw_plan fftw_mpi_plan_many_dft_c2r
(int rnk, const ptrdiff_t *n, ptrdiff_t howmany,
ptrdiff_t iblock, ptrdiff_t oblock,
fftw_complex *in, double *out,
MPI_Comm comm, unsigned flags);
There are corresponding plan-creation routines for r2r
transforms (see More DFTs of Real Data), currently supporting
multidimensional (rnk > 1) transforms only (rnk = 1 will
yield a NULL plan):
fftw_plan fftw_mpi_plan_r2r_2d(ptrdiff_t n0, ptrdiff_t n1,
double *in, double *out,
MPI_Comm comm,
fftw_r2r_kind kind0, fftw_r2r_kind kind1,
unsigned flags);
fftw_plan fftw_mpi_plan_r2r_3d(ptrdiff_t n0, ptrdiff_t n1, ptrdiff_t n2,
double *in, double *out,
MPI_Comm comm,
fftw_r2r_kind kind0, fftw_r2r_kind kind1, fftw_r2r_kind kind2,
unsigned flags);
fftw_plan fftw_mpi_plan_r2r(int rnk, const ptrdiff_t *n,
double *in, double *out,
MPI_Comm comm, const fftw_r2r_kind *kind,
unsigned flags);
fftw_plan fftw_mpi_plan_many_r2r(int rnk, const ptrdiff_t *n,
ptrdiff_t iblock, ptrdiff_t oblock,
double *in, double *out,
MPI_Comm comm, const fftw_r2r_kind *kind,
unsigned flags);
The parameters are much the same as for the complex DFTs above, except
that the arrays are of real numbers (and hence the outputs of the
‘local_size’ data-distribution functions should be interpreted as
counts of real rather than complex numbers). Also, the kind
parameters specify the r2r kinds along each dimension as for the
serial interface (see Real-to-Real Transform Kinds). See Other Multi-dimensional Real-data MPI Transforms.
FFTW also provides routines to plan a transpose of a distributed
n0 by n1 array of real numbers, or an array of
howmany-tuples of real numbers with specified block sizes
(see FFTW MPI Transposes):
fftw_plan fftw_mpi_plan_transpose(ptrdiff_t n0, ptrdiff_t n1,
double *in, double *out,
MPI_Comm comm, unsigned flags);
fftw_plan fftw_mpi_plan_many_transpose
(ptrdiff_t n0, ptrdiff_t n1, ptrdiff_t howmany,
ptrdiff_t block0, ptrdiff_t block1,
double *in, double *out, MPI_Comm comm, unsigned flags);
These plans are used with the fftw_mpi_execute_r2r new-array
execute function (see Using MPI Plans), since they count as (rank
zero) r2r plans from FFTW’s perspective.
Next: MPI Wisdom Communication, Previous: MPI Data Distribution Functions, Up: FFTW MPI Reference [Contents][Index]