vslConvExecX1D/vslCorrExecX1D

Developer Reference for Intel® oneAPI Math Kernel Library for C

Download PDF

ID 766684

Date 12/16/2022

Version

Public

A newer version of this document is available. Customers should click here to go to the newest version.

Visible to Intel only — GUID: GUID-7DC81BC4-B020-4D87-A636-6AF3954413FA

View Details

vslConvExecX1D/vslCorrExecX1D

Computes convolution or correlation for one-dimensional case with the fixed first operand vector.

Syntax

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);

Include Files

mkl.h

Input Parameters

Name	Type	Description
task	VSLConvTaskPtr for vslsConvExecX1D, vsldConvExecX1D, vslcConvExecX1D, vslzConvExecX1D VSLCorrTaskPtr for vslsCorrExecX1D, vsldCorrExecX1D, vslcCorrExecX1D, vslzCorrExecX1D	Pointer to the task descriptor.
x , y	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	const MKL_INT	Strides for input and output data. For more information, see stride parameters.

Name

Type

Description

task

VSLConvTaskPtr for vslsConvExecX1D, vsldConvExecX1D, vslcConvExecX1D, vslzConvExecX1D

VSLCorrTaskPtr for vslsCorrExecX1D, vsldCorrExecX1D, vslcCorrExecX1D, vslzCorrExecX1D

Pointer to the task descriptor.

x , y

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

const MKL_INT

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

Output Parameters

Name	Type	Description
z	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	int	Set to VSL_STATUS_OK if the task is executed successfully or set to non-zero error code otherwise.

Name

Type

Description

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

int

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

Description

Each of the vslConvExecX1D/vslCorrExecX1D 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 vslConvNewTaskX1D/vslCorrNewTaskX1D 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.

Parent topic: Task Execution Routines

Select Your Language

Using Intel.com Search

Quick Links

Recent Searches

Advanced Search

Only search in

Developer Reference for Intel® oneAPI Math Kernel Library for C

vslConvExecX1D/vslCorrExecX1D