Computes convolution or correlation for multidimensional case with the fixed first operand vector.
Fortran:
status = vslsconvexecx(task, y, ystride, z, zstride)
status = vsldconvexecx(task, y, ystride, z, zstride)
status = vslcconvexecx(task, y, ystride, z, zstride)
status = vslzconvexecx(task, y, ystride, z, zstride)
status = vslscorrexecx(task, y, ystride, z, zstride)
status = vsldcorrexecx(task, y, ystride, z, zstride)
status = vslccorrexecx(task, y, ystride, z, zstride)
status = vslzcorrexecx(task, y, ystride, z, zstride)
C:
status = vslsConvExecX(task, y, ystride, z, zstride);
status = vsldConvExecX(task, y, ystride, z, zstride);
status = vslcConvExecX(task, y, ystride, z, zstride);
status = vslzConvExecX(task, y, ystride, z, zstride);
status = vslsCorrExecX(task, y, ystride, z, zstride);
status = vslcCorrExecX(task, y, ystride, z, zstride);
status = vslzCorrExecX(task, y, ystride, z, zstride);
status = vsldCorrExecX(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 vslsconvexecx, vsldconvexecx, vslcconvexecx, vslzconvexecx INTEGER*4 task(2) for vslscorrexecx, vsldcorrexecx, vslccorrexecx, vslzcorrexecx Fortran 90: TYPE(VSL_CONV_TASK) for vslsconvexecx, vsldconvexecx, vslcconvexecx, vslzconvexecx TYPE(VSL_CORR_TASK) for vslscorrexecx, vsldcorrexecx, vslccorrexecx, vslzcorrexecx C: VSLConvTaskPtr for vslsConvExecX, vsldConvExecX, vslcConvExecX, vslzConvExecX VSLCorrTaskPtr for vslsCorrExecX, vsldCorrExecX, vslcCorrExecX, vslzCorrExecX |
Pointer to the task descriptor. |
x ,y |
FORTRAN 77: REAL*4 for vslsconvexecx and vslscorrexecx, REAL*8 for vsldconvexecx and vsldcorrexecx, COMPLEX*8 forvslcconvexecx and vslccorrexecx, COMPLEX*16 forvslzconvexecx and vslzcorrexecx Fortran 90: REAL(KIND=4), DIMENSION(*) for vslsconvexecx and vslscorrexecx, REAL(KIND=8), DIMENSION(*) for vsldconvexecx and vsldcorrexecx, COMPLEX(KIND=4), DIMENSION (*) forvslcconvexecx and vslccorrexecx, COMPLEX(KIND=8), DIMENSION (*) for vslzconvexecx and vslzcorrexecx C: const float[] for vslsConvExecX and vslsCorrExecX, const double[] for vsldConvExecX and vsldCorrExecX, const MKL_Complex8[] for vslcConvExecX and vslcCorrExecX, const MKL_Complex16[] for vslzConvExecX and vslzCorrExecX |
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, DIMENSION (*) C: const int[] |
Strides for input and output data. For more information, see stride parameters. |
Name |
Type |
Description |
|---|---|---|
z |
FORTRAN 77: REAL*4 for vslsconvexecx and vslscorrexecx, REAL*8 for vsldconvexecx and vsldcorrexecx, COMPLEX*8 forvslcconvexecx and vslccorrexecx, COMPLEX*16 forvslzconvexecx and vslzcorrexecx Fortran 90: REAL(KIND=4), DIMENSION(*) for vslsconvexecx and vslscorrexecx, REAL(KIND=8), DIMENSION(*) for vsldconvexecx and vsldcorrexecx, COMPLEX(KIND=4), DIMENSION (*) forvslcconvexecx and vslccorrexecx, COMPLEX(KIND=8), DIMENSION (*) for vslzconvexecx and vslzcorrexecx C: const float[] for vslsConvExecX and vslsCorrExecX, const double[] for vsldConvExecX and vsldCorrExecX, const MKL_Complex8[] for vslcConvExecX and vslcCorrExecX, const MKL_Complex16[] for vslzConvExecX and vslzCorrExecX |
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 ExecX 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 version of the operation, which assumes that the first operand vector was set on the task construction stage and the task object keeps the pointer to the array x.
Parameters of the operation are read from the task descriptor created previously by a corresponding NewTaskX 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 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.
Copyright © 1994 - 2011, Intel Corporation. All rights reserved.