The Intel® Integrated Performance Primitives (Intel® IPP) is a software library that provides a comprehensive set of application domain-specific highly optimized functions for signal, data, and image processing:
Signal and Data Processing
The Intel IPP signal and data processing software is a collection of low-overhead, high-performance operations performed on one-dimensional (1D) data arrays. Examples of such operations are linear transforms, filtering, string processing, and vector math.
The Intel IPP image processing software is a collection of low-overhead, high-performance operations performed on two-dimensional (2D) arrays of pixels. Examples of such operations are linear transforms, filtering, and arithmetic on image data.
For detailed function descriptions, including calling syntax, see Intel® IPP Developer Reference.
Use the Intel® Integrated Performance Primitives (Intel® IPP) to improve performance of multimedia, enterprise data, embedded, communications, and scientific/technical applications. The primitives are a common interface for thousands of commonly used algorithms. With these primitives you can automatically tune your application to many generations of processors without changes in the application.
The goal of the Intel IPP software is to provide algorithmic building blocks with
a simple "primitive" C interface and data structures to enhance usability and portability
scalability with Intel® hardware
This document provides detailed guidance on the library configuration, development environment, and linkage modes, and helps you perform multiple tasks related to programming with Intel IPP, in particular:
Intel IPP library is available as part of Intel® Parallel Studio XE and Intel® System Studio. It is also provided as a standalone package under the Community Licensing Program.