Developer Guide

Intel® Integrated Performance Primitives Developer Guide for Intel® oneAPI Base Toolkit

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ID 766321
Date 7/13/2023
Public
Document Table of Contents
Document Table of Contents x
Intel® Integrated Performance Primitives Developer Guide for Intel® oneAPI Base Toolkit
Intel® Integrated Performance Primitives Developer Guide for Intel® oneAPI Base Toolkit x
Introducing Intel® Integrated Performance Primitives Getting Help and Support Notational Conventions Getting Started with Intel® Integrated Performance Primitives Intel® Integrated Performance Primitives Theory of Operation Linking Your Application with Intel® Integrated Performance Primitives Using Intel® Integrated Performance Primitives Platform-Aware Functions Using Intel® Integrated Performance Primitives Threading Layer (TL) Functions Using Custom Library Tool for Intel® Integrated Performance Primitives Using Integration Wrappers for Intel® Integrated Performance Primitives Programming Considerations Programming with Intel® Integrated Performance Primitives in the Microsoft* Visual Studio* IDE Appendix: Performance Test Tool Command-Line Options Appendix: Intel(R) IPP Threading and OpenMP* Support Notices and Disclaimers
Getting Started with Intel® Integrated Performance Primitives x
Finding Intel® IPP on Your System Setting Environment Variables Compiler Integration Building Intel® IPP Applications Using Intel® IPP Examples Finding the Intel® IPP Documentation
Using Intel® IPP Examples x
Intel® IPP Examples Directory Structure Building Intel® IPP Examples
Intel® Integrated Performance Primitives Theory of Operation x
Dispatching Function Naming Conventions Intel® Integrated Performance Primitives Domain Details
Function Naming Conventions x
Data-domain Primitive vs. Variant Name Data Types Descriptor Parameters
Intel® Integrated Performance Primitives Domain Details x
Library Dependencies by Domain
Linking Your Application with Intel® Integrated Performance Primitives x
Linking Options Automatically Linking Your Microsoft* Visual Studio* Project with Intel IPP
Using Intel® Integrated Performance Primitives Threading Layer (TL) Functions x
Finding Intel® IPP TL Source Code Files Building Intel® IPP TL Libraries from Source Code Automatically Getting Performance Benefits with Intel(R) IPP Threading Layer
Using Custom Library Tool for Intel® Integrated Performance Primitives x
System Requirements for Custom Library Tool Operation Modes Building a Custom DLL with Custom Library Tool Using Console Version of Custom Library Tool
Programming Considerations x
Core and Support Functions Channel and Planar Image Data Layouts Regions of Interest Managing Memory Allocations Cache Optimizations
Programming with Intel® Integrated Performance Primitives in the Microsoft* Visual Studio* IDE x
Configuring the Microsoft* Visual Studio* IDE to Link with Intel® IPP Using the IntelliSense* Features
Appendix: Intel(R) IPP Threading and OpenMP* Support x
Using Shared L2 Cache Avoiding Nested Parallelization
Intel® Integrated Performance Primitives Developer Guide for Intel® oneAPI Base Toolkit

Intel® Integrated Performance Primitives Developer Guide for Intel® oneAPI Base Toolkit

Introducing Intel® Integrated Performance Primitives

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 and image processing and cryptography. This guide provides information about Intel IPP. This document is valid for version 2021.9 of Intel IPP.

Due to significant shift in industry trend towards 64-bit architecture in recent years, Intel IPP 32-bit binaries will be deprecated in the upcoming Intel IPP 2021.10 release and targeted to be removed after one year deprecation notice period. Please share your feedback or concerns on the Intel IPP Community Forum.

The Intel® Integrated Performance Primitives 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.

  • Image Processing

    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 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

  • faster time-to-market

  • 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:

NOTE:

It is your responsibility when using Intel IPP to ensure that input data has the required format and does not contain invalid characters. These can cause unexpected behavior of the library.

The library requires function parameters to be valid before being passed. While some Intel IPP functions do limited checking of parameter errors, your application should check for images integrity, for example.

Documentation for older versions of Intel® Integrated Performance Primitives is available for download only. For a list of available documentation downloads by product version, see these pages:

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