Types of Input Data

Intel IPP operations are divided into groups according to the input data on which the operation is performed. Each group has its own prefix in the function name (see Function Naming - Data-Domain). The input data types are:

One-Dimensional Arrays and Signals

This group includes most functions operating on one-dimensional arrays of data. Generally these arrays are signals, and many of the operations are signal-processing operations. Examples of one-dimensional array operations include:

Images

An image is an two-dimensional array of pixels. Their specific features distinguish them from general two-dimensional array. Examples of image operations include:

Matrices

This group includes functions operating on matrices and vectors that are one- and two-dimensional arrays, and on arrays of matrices and vectors. These arrays are treated as linear equations or data vectors and subjected to linear algebra operations. Examples of matrix operations include:

3D objects

This group includes functions operating with 3D objects. In this case input data depends on the used techniques. Examples of 3D operations include:

Core Functions

There are several core functions that do not perform operations on one of these input data types. Examples of such operations include getting the type of CPU, aligning pointers to the specified number of bytes, controlling the dispatcher of the merged static libraries. These functions have their own header file, static libraries and SOs.

Code

Header file

Static Libraries

SO

Prefix in Function Name

ippCore

ippcore.h

libippcore_l.a

libippcore_t.a

libippcore.so.x.x

ipp

Here x.x refers to the product version number, for example 7.0.

Optimization Notice

The Intel® Integrated Performance Primitives (Intel® IPP) library contains functions that are more highly optimized for Intel microprocessors than for other microprocessors. While the functions in the Intel® IPP library offer optimizations for both Intel and Intel-compatible microprocessors, depending on your code and other factors, you will likely get extra performance on Intel microprocessors.

While the paragraph above describes the basic optimization approach for the Intel® IPP library as a whole, the library may or may not be optimized to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include Intel® Streaming SIMD Extensions 2 (Intel® SSE2), Intel® Streaming SIMD Extensions 3 (Intel® SSE3), and Supplemental Streaming SIMD Extensions 3 (Intel® SSSE3) instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors.

Intel recommends that you evaluate other library products to determine which best meets your requirements.


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