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
Download as Part of the Toolkit
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.
Download the Stand-Alone Version
A stand-alone download of Intel IPP is available. You can download binaries from Intel or choose your preferred repository.
Develop in the Cloud
Build and optimize oneAPI multiarchitecture applications using the latest optimized Intel® oneAPI and AI tools, and test your workloads across Intel® CPUs and GPUs. No hardware installations, software downloads, or configuration necessary. Free for 120 days with extensions possible.
Features
Optimized for Performance
These software building blocks are highly optimized using Intel® Streaming SIMD Extensions 2, Intel® Advanced Vector Extensions 2 (Intel® AVX2), and Intel® Advanced Vector Extensions 512 (Intel® AVX-512) instruction sets.
Plug In and Go
With these ready-to-use, royalty-free functions, you will:
- Gain more time to develop new application features
- Reduce development, debug, and maintenance time
- Ensure the code you write today will run optimally on future generations of Intel processors
A Comprehensive Set of Primitives
Access thousands of optimized functions covering frequently used fundamental algorithms, including those for creating:
- Digital media
- Enterprise data
- Embedded communications
- Scientific, technical, and security applications
The library includes more than 2,500 primitives for image processing, 1,300 for signal processing, 500 for computer vision, and 300 for cryptography.
Optimize for great CPU performance in current and future Intel platforms. With each instruction set upgrade, a new implementation layer is added. Previous implementations work as before, but functions that can benefit from new hardware capabilities are updated and validated before new architecture is released.
Unlock increased performance that's delivered with new hardware. Start using new CPU capabilities right away instead of interrupting development cycles for additional optimizations. In most cases, the performance boost is automatic. For other cases, you only need to recompile.
For complete information, see the release notes.
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)
What's New
For cryptography:
- Extended multibuffer library with the Galois/Counter Mode (GCM) and a counter with the cipher block chaining (CCM) mode of an SM4 cipher algorithm.
- Introduced an API to update pointer to an IppsHashMethod context inside the IppsHashState_rmf state.
- Added support of the SM2 key exchange protocol and SM2 encryption and decryption APIs.
- Introduced a reinitialization API for AES GCM context that can be used for updating the context ID and internal pointers.
Benchmarks
These benchmarks illustrate the performance capabilities of Intel IPP.
Documentation
Cryptography Documentation
- Get Started Guides: Windows | Linux | macOS
- Developer Reference
- Developer Guide
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. |
| Image Linear Transform (ipp_fft) |
This example shows how to use two image linear transforms:
|
| 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. |
Training
Tutorials
- Alternatives to the Legacy Functions in Intel IPP: Generated Transforms Domain | Small Matrices Domain
- Example of a macOS Image Resize: White Paper | Source Files
- How to Use 1D Fourier Transform Functions
- Process an Image from Edge to Edge
- Use the Intel® Advanced Vector Extensions Realization of Lanczos Interpolation in a 2D Resize Transform
- Use the Intel IPP Library in an Embedded System:
Nonstandard Operating Systems | Linkage Model Size Differences - Use Performance Libraries for Signal Processing
- Intel® Intelligent Storage Acceleration Library and Intel IPP with zlib Solutions
- Accelerate LZ4 with Intel IPP
- Parallel Compression and Decompression With Intel IPP and ZFP
- Accelerate Cryptography with Intel IPP Acceleration on the 3rd Generation Intel® Xeon® Processor Scalable Family and 10th Generation Intel® Core™ Processors
- Boost 5G with Intel IPP
Specifications
Processors:
- Intel Atom®, Intel Core, and Intel® Xeon® processors
- Other compatible processors
Languages:
- Built-in support for C and C++
Operating systems:
- Windows
- Linux
- macOS
Processors:
- 3rd generation Intel Xeon processor family v3 (or later)
- 4th generation (or later) Intel Core processor
Development environments:
- Compatible with compilers from vendors that follow platform standards, such as Microsoft*, GNU Compiler Collection (GCC)*, and Intel
- Can be integrated with Microsoft Visual Studio*
License:
End User License Agreement (EULA)
Note Your installed software development products may use a prior version of the EULA.
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