Intel® Integrated Performance Primitives

Production-ready building blocks for cross-platform performance. Develop high-performance vision, signal, security, and storage applications with this multithreaded software library.

Multimedia and Data Processing Performance

Intel® Integrated Performance Primitives (Intel® IPP) is an extensive library of ready-to-use, domain-specific functions that are highly optimized for diverse Intel® architectures. Its royalty-free APIs help developers:

  • Take advantage of Single Instruction, Multiple Data (SIMD) instructions
  • Improve the performance of computation-intensive applications, including signal processing, data compression, video processing, and cryptography
  • Reduce cost and time to market for software development and maintenance

Release Notes

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Intel® IPP is included as part of the Intel® oneAPI Base Toolkit, which is a core set of tools and libraries for developing high-performance, data-centric applications across diverse architectures.

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Domains and Workloads

Image Processing

Take visual information and convert it into manageable, usable data for further analysis and decision-making. These image-processing applications use Intel IPP:

  • Healthcare (medical imaging)
  • Computer vision
  • E-commerce (visual search)
  • Digital surveillance
  • Biometric identification
  • Factory machine vision
  • Advanced driver assistance systems (ADAS) for autonomous driving
  • Printing and printers
  • Image recognition and enhancement
  • Remote equipment operation
  • Gesture recognition
  • Illegal image recognition
  • Optical correction

Data Compression

Reduce the number of bits needed to store or transmit data. Intel IPP highly optimizes these common compression standards:

  • Lempel-Ziv-Storer-Szymanski (LZSS)
  • LZ77 (zlib)
  • Lempel-Ziv-Oberhumer (LZO)
  • Bzip2
  • LZ4
  • ZFP

Achieve significant performance gains with plug and play functions on applications such as these:

  • Internet portal data center
  • Data storage centers
  • Databases
  • Enterprise data management

Signal Processing

Enable information generation, transformation, and interpretation. Pull meaning from broad sources of data, helping modern communications that include:

  • Voice recognition
  • Biotechnology
  • Wearable technology
  • Hearing aids
  • Speech synthesis

Optimize commonly used signal-processing functions for a wide variety of Intel architectures, including: 

  • Discrete Fourier transform (DFT)
  • Fast Fourier transforms (FFT)
  • Convolution
  • Filtering
  • Statistics

These signal-processing applications use Intel IPP:

  • Telecommunications
  • Energy
  • Ultrasound machines
  • Medical scanning
  • Record, enhance, and playback audio and non-audio signals
  • Echo cancellation: filter, equalize, and emphasis
  • Simulation of environment or acoustics
  • Games with sophisticated audio content or effect
  • Interfaces for voice-controlled personal assistants

Cryptography

Protect against cyberattacks and intrusion in the field of autonomous, self-driving cars with functions for: 

  • Security analysis
  • Threat intelligence
  • Mobile security
  • Cloud security
  • IoT security
  • Data integrity and authentication hash (SHA, MD5, SM3)
  • Public key cryptography (RSA, ECC, HMAC, CMAC)
  • Secure data transfer, such as:
    • Symmetric algorithms
    • Advanced Encryption Standard (AES)
    • Triple DES (TDES)
    • SMS4
    • Steam ciphers

The cryptography library is available as an open-source library. GitHub

These security applications use Intel IPP:

  • Telecommunications
  • Transaction security and cybersecurity
  • Smart card and wallet interfaces
  • ID verification
  • Copy protection
  • Electronic signature
  • Advanced driver-assistance systems (ADAS)

Benchmarks

These benchmarks illustrate the performance capabilities of Intel Integrated Performance Primitives.

Code Samples

Demonstrations of important features in this release are located in [install-dir]/ipp/examples. Refer to the Developer Guide topic Using Intel® IPP Examples.

Sample

Description
Multithread Image Resize

Learn how to use the ippiResize functionality in single and multithread modes.

Use the parallel_for loop functionality for external multithreading. The multithreading mode works if the project is built with Intel® Threading Building Blocks support.
Multithreading for the Intel® Xeon Phi™ Coprocessor

Intel IPP libraries contain built-in Intel® Many Integrated Core Architecture libraries. Use them to create build-in or offloaded applications on the architecture. This example shows how to use the libraries on Intel Xeon Phi coprocessors.
Resize Images in Android*

Learn how to use Intel IPP image resizing functionality in an Android environment.

The source code introduces two Java* classes:

  • IPPCore for library initialization and getting library information
  • IPPResize, which performs image resizing
Image Linear Transform (ipp_fft)

This example shows how to use two image linear transforms:

  • Fourier transforms (fast and discrete)
  • Discrete cosine transform (DCT)
External Threading Example (ipp_thread) Learn about threading for an image harmonization filter. Since internal threading is deprecated, it is important to know how to externally thread a generic Intel IPP function.
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Runtime Version

Product and Performance Information

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Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.

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