Computes convolution or correlation for one-dimensional case with the fixed first operand vector.
Fortran:
status = vslsconvexecx1d(task, y, ystride, z, zstride)
status = vsldconvexecx1d(task, y, ystride, z, zstride)
status = vslcconvexecx1d(task, y, ystride, z, zstride)
status = vslzconvexecx1d(task, y, ystride, z, zstride)
status = vslscorrexecx1d(task, y, ystride, z, zstride)
status = vsldcorrexecx1d(task, y, ystride, z, zstride)
status = vslccorrexecx1d(task, y, ystride, z, zstride)
status = vslzcorrexecx1d(task, y, ystride, z, zstride)
C:
status = vslsConvExecX1D(task, y, ystride, z, zstride);
status = vsldConvExecX1D(task, y, ystride, z, zstride);
status = vslcConvExecX1D(task, y, ystride, z, zstride);
status = vslzConvExecX1D(task, y, ystride, z, zstride);
status = vslsCorrExecX1D(task, y, ystride, z, zstride);
status = vslcCorrExecX1D(task, y, ystride, z, zstride);
status = vslzCorrExecX1D(task, y, ystride, z, zstride);
status = vsldCorrExecX1D(task, y, ystride, z, zstride);
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.
Name |
Type |
Description |
|---|---|---|
task |
FORTRAN 77: INTEGER*4 task(2) for vslsconvexecx1d, vsldconvexecx1d, vslcconvexecx1d, vslzconvexecx1d INTEGER*4 task(2) for vslscorrexecx1d, vsldcorrexecx1d, vslccorrexecx1d, vslzcorrexecx1d Fortran 90: TYPE(VSL_CONV_TASK) for vslsconvexecx1d, vsldconvexecx1d, vslcconvexecx1d, vslzconvexecx1d TYPE(VSL_CORR_TASK) for vslscorrexecx1d, vsldcorrexecx1d, vslccorrexecx1d, vslzcorrexecx1d C: VSLConvTaskPtr for vslsConvExecX1D, vsldConvExecX1D, vslcConvExecX1D, vslzConvExecX1D VSLCorrTaskPtr for vslsCorrExecX1D, vsldCorrExecX1D, vslcCorrExecX1D, vslzCorrExecX1D |
Pointer to the task descriptor. |
x , y |
FORTRAN 77: REAL*4 for vslsconvexecx1d and vslscorrexecx1d, REAL*8 for vsldconvexecx1d and vsldcorrexecx1d, COMPLEX*8 forvslcconvexecx1d and vslccorrexecx1d, COMPLEX*16 forvslzconvexecx1d and vslzcorrexecx1d Fortran 90: REAL(KIND=4), DIMENSION(*) for vslsconvexecx1d and vslscorrexecx1d, REAL(KIND=8), DIMENSION(*) for vsldconvexecx1d and vsldcorrexecx1d, COMPLEX(KIND=4), DIMENSION (*) forvslcconvexecx1d and vslccorrexecx1d, COMPLEX(KIND=8), DIMENSION (*) for vslzconvexecx1d and vslzcorrexecx1d C: const float[] for vslsConvExecX1D and vslsCorrExecX1D, const double[] for vsldConvExecX1D and vsldCorrExecX1D, const MKL_Complex8[] for vslcConvExecX1D and vslcCorrExecX1D, const MKL_Complex16[] for vslzConvExecX1D and vslzCorrExecX1D |
Pointer to array containing input data (for the second operand vector). See Data Allocation for more information. |
ystride, zstride |
FORTRAN 77: INTEGER Fortran 90: INTEGER C: const int |
Strides for input and output data. For more information, see stride parameters. |
Name |
Type |
Description |
|---|---|---|
z |
FORTRAN 77: REAL*4 for vslsconvexecx1d and vslscorrexecx1d, REAL*8 for vsldconvexecx1d and vsldcorrexecx1d, COMPLEX*8 forvslcconvexecx1d and vslccorrexecx1d, COMPLEX*16 forvslzconvexecx1d and vslzcorrexecx1d Fortran 90: REAL(KIND=4), DIMENSION(*) for vslsconvexecx1d and vslscorrexecx1d, REAL(KIND=8), DIMENSION(*) for vsldconvexecx1d and vsldcorrexecx1d, COMPLEX(KIND=4), DIMENSION (*) forvslcconvexecx1d and vslccorrexecx1d, COMPLEX(KIND=8), DIMENSION (*) for vslzconvexecx1d and vslzcorrexecx1d C: const float[] for vslsConvExecX1D and vslsCorrExecX1D, const double[] for vsldConvExecX1D and vsldCorrExecX1D, const MKL_Complex8[] for vslcConvExecX1D and vslcCorrExecX1D, const MKL_Complex16[] for vslzConvExecX1D and vslzCorrExecX1D |
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. |
Each of the ExecX1D routines computes convolution or correlation of one-dimensional (assuming that dims =1) data provided by the arrays x and y and then stores the results in the array z. These routines represent a special version of the operation, which expects that the first operand vector was set on the task construction stage.
Parameters of the operation are read from the task descriptor created previously by a corresponding NewTaskX1D constructor and pointed to by task. If task is NULL, no operation is done.
Using this form of execution routines is recommended when you need to compute multiple one-dimensional convolutions or correlations with the same data vector in array x against different vectors in array y. This helps improve performance by eliminating unnecessary overhead in repeated computation of intermediate data required for the operation.
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