Exec1D

Computes convolution or correlation for one-dimensional case.

Syntax

Fortran:

status = vslsconvexec1d(task, x, xstride, y, ystride, z, zstride)

status = vsldconvexec1d(task, x, xstride, y, ystride, z, zstride)

status = vslcconvexec1d(task, x, xstride, y, ystride, z, zstride)

status = vslzconvexec1d(task, x, xstride, y, ystride, z, zstride)

status = vslscorrexec1d(task, x, xstride, y, ystride, z, zstride)

status = vsldcorrexec1d(task, x, xstride, y, ystride, z, zstride)

status = vslccorrexec1d(task, x, xstride, y, ystride, z, zstride)

status = vslzcorrexec1d(task, x, xstride, y, ystride, z, zstride)

C:

status = vslsConvExec1D(task, x, xstride, y, ystride, z, zstride);

status = vsldConvExec1D(task, x, xstride, y, ystride, z, zstride);

status = vslcConvExec1D(task, x, xstride, y, ystride, z, zstride);

status = vslzConvExec1D(task, x, xstride, y, ystride, z, zstride);

status = vslsCorrExec1D(task, x, xstride, y, ystride, z, zstride);

status = vsldCorrExec1D(task, x, xstride, y, ystride, z, zstride);

status = vslcCorrExec1D(task, x, xstride, y, ystride, z, zstride);

status = vslzCorrExec1D(task, x, xstride, y, ystride, z, zstride);

Include Files

The FORTRAN 77 interfaces are specified in the mkl_vsl.f77 include file, the Fortran 90 interfaces are specified in the mkl_vsl.f90 include file, and the C interfaces are specified in the mkl_vsl_functions.h include file.

Input Parameters

Name

Type

Description

task

FORTRAN 77: INTEGER*4 task(2) for vslsconvexec1d, vsldconvexec1d, vslcconvexec1d, vslzconvexec1d

INTEGER*4 task(2) for vslscorrexec1d, vsldcorrexec1d, vslccorrexec1d, vslzcorrexec1d

Fortran 90: TYPE(VSL_CONV_TASK) for vslsconvexec1d, vsldconvexec1d, vslcconvexec1d, vslzconvexec1d

TYPE(VSL_CORR_TASK) for vslscorrexec1d, vsldcorrexec1d, vslccorrexec1d, vslzcorrexec1d

C: VSLConvTaskPtr for vslsConvExec1D, vsldConvExec1D, vslcConvExec1D, vslzConvExec1D

VSLCorrTaskPtr for vslsCorrExec1D, vsldCorrExec1D, vslcCorrExec1D, vslzCorrExec1D

Pointer to the task descriptor.

x, y

FORTRAN 77: REAL*4 for vslsconvexec1d and vslscorrexec1d,

REAL*8 for vsldconvexec1d and vsldcorrexec1d,

COMPLEX*8 forvslcconvexec1d and vslccorrexec1d,

COMPLEX*16 forvslzconvexec1d and vslzcorrexec1d

Fortran 90: REAL(KIND=4), DIMENSION(*) for vslsconvexec1d and vslscorrexec1d,

REAL(KIND=8), DIMENSION(*) for vsldconvexec1d and vsldcorrexec1d,

COMPLEX(KIND=4), DIMENSION (*) forvslcconvexec1d and vslccorrexec1d,

COMPLEX(KIND=8), DIMENSION (*) for vslzconvexec1d and vslzcorrexec1d

C: const float[] for vslsConvExec1D and vslsCorrExec1D,

const double[] for vsldConvExec1D and vsldCorrExec1D,

const MKL_Complex8[] for vslcConvExec1D and vslcCorrExec1D,

const MKL_Complex16[] for vslzConvExec1D and vslzCorrExec1D

Pointers to arrays containing input data. See Data Allocation for more information.

xstride, ystride, zstride

FORTRAN 77: INTEGER

Fortran 90: INTEGER

C: const int

Strides for input and output data. For more information, see stride parameters.

Output Parameters

Name

Type

Description

z

FORTRAN 77: REAL*4 for vslsconvexec1d and vslscorrexec1d,

REAL*8 for vsldconvexec1d and vsldcorrexec1d,

COMPLEX*8 forvslcconvexec1d and vslccorrexec1d,

COMPLEX*16 forvslzconvexec1d and vslzcorrexec1d

Fortran 90: REAL(KIND=4), DIMENSION(*) for vslsconvexec1d and vslscorrexec1d,

REAL(KIND=8), DIMENSION(*) for vsldconvexec1d and vsldcorrexec1d,

COMPLEX(KIND=4), DIMENSION (*) forvslcconvexec1d and vslccorrexec1d,

COMPLEX(KIND=8), DIMENSION (*) for vslzconvexec1d and vslzcorrexec1d

C: const float[] for vslsConvExec1D and vslsCorrExec1D,

const double[] for vsldConvExec1D and vsldCorrExec1D,

const MKL_Complex8[] for vslcConvExec1D and vslcCorrExec1D,

const MKL_Complex16[] for vslzConvExec1D and vslzCorrExec1D

Pointer to the array that stores output data. See Data Allocation for more information.

status

FORTRAN 77: INTEGER

Fortran 90: INTEGER

C: int

Set to VSL_STATUS_OK if the task is executed successfully or set to non-zero error code otherwise.

Description

Each of the Exec1D routines computes convolution or correlation of the data provided by the arrays x and y and then stores the results in the array z. These routines represent a special one-dimensional version of the operation, assuming that the value of the parameter dims is 1. Using this version of execution routines can help speed up performance in case of one-dimensional data.

Parameters of the operation are read from the task descriptor created previously by a corresponding NewTask1D constructor and pointed to by task. If task is NULL, no operation is done.


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